CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Dr. Davood Toghraie | ISLAMIC AZAD UNIVERSITY KHOMEINISHAHR BRANCH - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="dpwID5p3jXvzinvyPIs4RQt4wJWjya5kYmxv78dTjELRgyy05Uw+EjxSKCyq6/UUWa6kWM2m9HHCqZT/lVVkXA==" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-77f7b87cb1583fc59aa8f94756ebfe913345937eb932042b4077563bebb5fb4b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-9e8218e1301001388038e3fc3427ed00d079a4760ff7745d1ec1b2d59103170a.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="author" content="dr. davood toghraie" /> <meta name="description" content="Davood ToghraieAssociate Professor of Mechanical Engineering, Islamic Azad University, Khomeinishahr Branch" /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = 'dbbc078c4dd21927fee81e40cb40966a7787f597'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15262,"monthly_visitors":"120 million","monthly_visitor_count":120260779,"monthly_visitor_count_in_millions":120,"user_count":278675725,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1734062615000); window.Aedu.timeDifference = new Date().getTime() - 1734062615000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-0fb6fc03c471832908791ad7ddba619b6165b3ccf7ae0f65cf933f34b0b660a7.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-8725d44cf7fef59a36f3a49c1fdad537837f54fdcd46824499ece5eb79144604.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-8bef471101e20eeb6387f1463424c287e25f4c6e19169c3d34a7fc2b3a6cf862.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://iaukhsh.academia.edu/DavoodToghraie" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-682da5bfe717a81da1eb3b05151217255d7ca4c2b93c310724f37d503f7e9668.js" defer="defer"></script><script>Aedu.rankings = { showPaperRankingsLink: false } $viewedUser = Aedu.User.set_viewed( {"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie","photo":"https://0.academia-photos.com/5734988/33550597/29850154/s65_d.d.jpg","has_photo":true,"department":{"id":87008,"name":"MECHANICAL ENGINEERING DEPARTMANT","url":"https://iaukhsh.academia.edu/Departments/MECHANICAL_ENGINEERING_DEPARTMANT/Documents","university":{"id":10714,"name":"ISLAMIC AZAD UNIVERSITY KHOMEINISHAHR BRANCH","url":"https://iaukhsh.academia.edu/"}},"position":"Faculty Member","position_id":1,"is_analytics_public":false,"interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://iaukhsh.academia.edu/DavoodToghraie","location":"/DavoodToghraie","scheme":"https","host":"iaukhsh.academia.edu","port":null,"pathname":"/DavoodToghraie","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-024771b2-0635-45bc-95a2-4b203c659ccd"></div> <div id="ProfileCheckPaperUpdate-react-component-024771b2-0635-45bc-95a2-4b203c659ccd"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Dr. Davood Toghraie" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/5734988/33550597/29850154/s200_d.d.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Dr. Davood Toghraie</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://iaukhsh.academia.edu/">ISLAMIC AZAD UNIVERSITY KHOMEINISHAHR BRANCH</a>, <a class="u-tcGrayDarker" href="https://iaukhsh.academia.edu/Departments/MECHANICAL_ENGINEERING_DEPARTMANT/Documents">MECHANICAL ENGINEERING DEPARTMANT</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Dr. Davood" data-follow-user-id="5734988" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="5734988"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">409</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">37</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">3</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Davood ToghraieAssociate Professor of Mechanical Engineering, Islamic Azad University, Khomeinishahr Branch<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="5734988" href="https://www.academia.edu/Documents/in/Mechanical_Engineering"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://iaukhsh.academia.edu/DavoodToghraie","location":"/DavoodToghraie","scheme":"https","host":"iaukhsh.academia.edu","port":null,"pathname":"/DavoodToghraie","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Mechanical Engineering"]}" data-trace="false" data-dom-id="Pill-react-component-3dbf9ecf-6efb-4ba3-9490-7acf73fb28fe"></div> <div id="Pill-react-component-3dbf9ecf-6efb-4ba3-9490-7acf73fb28fe"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Dr. Davood Toghraie</h3></div><div class="js-work-strip profile--work_container" data-work-id="50729150"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50729150/Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis"><img alt="Research paper thumbnail of Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/68601137/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50729150/Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis">Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a940fafa2c540b3396daf5dbef156970" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68601137,"asset_id":50729150,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68601137/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50729150"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50729150"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50729150; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50729150]").text(description); $(".js-view-count[data-work-id=50729150]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50729150; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50729150']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50729150, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a940fafa2c540b3396daf5dbef156970" } } $('.js-work-strip[data-work-id=50729150]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50729150,"title":"Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis","translated_title":"","metadata":{"doi":"10.1007/s10973-020-09808-3","abstract":"In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.","internal_url":"https://www.academia.edu/50729150/Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis","translated_internal_url":"","created_at":"2021-08-04T10:44:23.124-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36757727,"work_id":50729150,"tagging_user_id":5734988,"tagged_user_id":146717830,"co_author_invite_id":null,"email":"m***i@qaemiau.ac.ir","display_order":1,"name":"Mehdi Miansari","title":"Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis"}],"downloadable_attachments":[{"id":68601137,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68601137/thumbnails/1.jpg","file_name":"Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_.pdf","download_url":"https://www.academia.edu/attachments/68601137/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Optimizing_the_hydrothermal_performance.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68601137/Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_-libre.pdf?1628100063=\u0026response-content-disposition=attachment%3B+filename%3DOptimizing_the_hydrothermal_performance.pdf\u0026Expires=1734055886\u0026Signature=L-R6VWDZM7Ch4etZ6vIIUG35XRNjgNay9u6FgYD1~-TvrGg2XNah5HTwQHOH~MDtPadLVInj22UMp5z4mGdBGj4X-~vOmoa7fqSm5IR2-eRI9-smwAQplvFUy9CFpxZtmIyNSf-H~qhwcIWlBCYhQ08lCIo0eX7hiEt6Oe9JTDZEduvqDIBvLAqmzRJKsCSp4cdIqi589eJcXQ2Ona5nX0LDki4MpLom4YO0lXzqbLqd~Jm5d5l2BaC8up9H4yY4VXM2MM9KvIqHyIf1CCbakKIlFF4rTJs40F4S-1ka5yluPdAqalujf0Z07aUzwMjb2d4-YZFECEplg-ZJ7Ri7Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68601137,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68601137/thumbnails/1.jpg","file_name":"Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_.pdf","download_url":"https://www.academia.edu/attachments/68601137/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Optimizing_the_hydrothermal_performance.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68601137/Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_-libre.pdf?1628100063=\u0026response-content-disposition=attachment%3B+filename%3DOptimizing_the_hydrothermal_performance.pdf\u0026Expires=1734055886\u0026Signature=L-R6VWDZM7Ch4etZ6vIIUG35XRNjgNay9u6FgYD1~-TvrGg2XNah5HTwQHOH~MDtPadLVInj22UMp5z4mGdBGj4X-~vOmoa7fqSm5IR2-eRI9-smwAQplvFUy9CFpxZtmIyNSf-H~qhwcIWlBCYhQ08lCIo0eX7hiEt6Oe9JTDZEduvqDIBvLAqmzRJKsCSp4cdIqi589eJcXQ2Ona5nX0LDki4MpLom4YO0lXzqbLqd~Jm5d5l2BaC8up9H4yY4VXM2MM9KvIqHyIf1CCbakKIlFF4rTJs40F4S-1ka5yluPdAqalujf0Z07aUzwMjb2d4-YZFECEplg-ZJ7Ri7Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":91848,"name":"Shell and tube heat exchanger design","url":"https://www.academia.edu/Documents/in/Shell_and_tube_heat_exchanger_design"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50291531"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50291531/Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition"><img alt="Research paper thumbnail of Molecular dynamics simulation of argon flow in large scale within different microchannels under phase change condition" class="work-thumbnail" src="https://attachments.academia-assets.com/68332189/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50291531/Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition">Molecular dynamics simulation of argon flow in large scale within different microchannels under phase change condition</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this research, the molecular dynamics simulation method is employed to simulate the boiling fl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fa817bae67b5d60ea2be1e5faca8684f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68332189,"asset_id":50291531,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68332189/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50291531"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50291531"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50291531; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50291531]").text(description); $(".js-view-count[data-work-id=50291531]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50291531; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50291531']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50291531, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fa817bae67b5d60ea2be1e5faca8684f" } } $('.js-work-strip[data-work-id=50291531]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50291531,"title":"Molecular dynamics simulation of argon flow in large scale within different microchannels under phase change condition","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105337","abstract":"In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.","internal_url":"https://www.academia.edu/50291531/Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition","translated_internal_url":"","created_at":"2021-07-27T00:31:07.523-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":68332189,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68332189/thumbnails/1.jpg","file_name":"1_s2.0_S073519332100230X_main.pdf","download_url":"https://www.academia.edu/attachments/68332189/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_dynamics_simulation_of_argon_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68332189/1_s2.0_S073519332100230X_main-libre.pdf?1627384122=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_dynamics_simulation_of_argon_f.pdf\u0026Expires=1734055886\u0026Signature=I3W3xV1v9DhoG6NUnZ8kp~4cab4UdckpHn79xuJM7BjabP39upv7Pe7J3opODwvrT-oIU7aiP9vVg6Ls2TGiCht~8DE99ljV73QtEU1161W-Pf35VXN6LhSxbnQ0vlxOIBJK8SqOzCmJuOyhG-Qwv2ry~15IhCTDfqg5K0SjnD~dB-qakPShr4qGxWpUOT5tH9dfxlqbebdlUz4sjBDKer~T8otlK2dwTIAv5ruEQkEWM5h6RXHQaHPXg8bvu14pVCFCMI6Hr9Okiuoc6gKMp2HFvcim4JFwaJDc9VIX5EJ8tS0m9nbcF0cbhQTKJj~GKkhY-~elEqrAFvxQQHtXHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition","translated_slug":"","page_count":5,"language":"en","content_type":"Work","summary":"In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68332189,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68332189/thumbnails/1.jpg","file_name":"1_s2.0_S073519332100230X_main.pdf","download_url":"https://www.academia.edu/attachments/68332189/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_dynamics_simulation_of_argon_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68332189/1_s2.0_S073519332100230X_main-libre.pdf?1627384122=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_dynamics_simulation_of_argon_f.pdf\u0026Expires=1734055886\u0026Signature=I3W3xV1v9DhoG6NUnZ8kp~4cab4UdckpHn79xuJM7BjabP39upv7Pe7J3opODwvrT-oIU7aiP9vVg6Ls2TGiCht~8DE99ljV73QtEU1161W-Pf35VXN6LhSxbnQ0vlxOIBJK8SqOzCmJuOyhG-Qwv2ry~15IhCTDfqg5K0SjnD~dB-qakPShr4qGxWpUOT5tH9dfxlqbebdlUz4sjBDKer~T8otlK2dwTIAv5ruEQkEWM5h6RXHQaHPXg8bvu14pVCFCMI6Hr9Okiuoc6gKMp2HFvcim4JFwaJDc9VIX5EJ8tS0m9nbcF0cbhQTKJj~GKkhY-~elEqrAFvxQQHtXHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50202865"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50202865/MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms"><img alt="Research paper thumbnail of MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms" class="work-thumbnail" src="https://attachments.academia-assets.com/68276374/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50202865/MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms">MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0c158c5caa560f0e2193420726c95b3e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68276374,"asset_id":50202865,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68276374/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50202865"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50202865"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50202865; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50202865]").text(description); $(".js-view-count[data-work-id=50202865]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50202865; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50202865']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50202865, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0c158c5caa560f0e2193420726c95b3e" } } $('.js-work-strip[data-work-id=50202865]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50202865,"title":"MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms","translated_title":"","metadata":{"doi":"10.1016/j.ijthermalsci.2021.107179","abstract":"Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.","internal_url":"https://www.academia.edu/50202865/MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms","translated_internal_url":"","created_at":"2021-07-23T12:45:55.001-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36728168,"work_id":50202865,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms"}],"downloadable_attachments":[{"id":68276374,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68276374/thumbnails/1.jpg","file_name":"1_s2.0_S1290072921003409_main.pdf","download_url":"https://www.academia.edu/attachments/68276374/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MHD_nanofluid_free_convection_inside_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68276374/1_s2.0_S1290072921003409_main-libre.pdf?1627072853=\u0026response-content-disposition=attachment%3B+filename%3DMHD_nanofluid_free_convection_inside_the.pdf\u0026Expires=1734055886\u0026Signature=K~BSfgxcrY~Orb03V94V8gxPsbwU4xcWBKg~x3MBIoeJvzg7akg9ZoO98M~u9~r96IUx5YzcRLxmbYlro1Cun8H9~19mO5uPtZP8ux36cqoA1AxbvYwd9V3NQTqTyxES65FzXRjAI9-qfh6fkeMaMHK8QbOIlBGR5cXibdXOfGMXKI9kdvn8J-9y9xgf3~TPwNDWwGQNWcLyOOCzJGrVsWpDYcT~VorYwRSqm~t1TpIVL26SN0Ob--wlShfZbtbZbz9NjlHj9NTe7Z9LwNCAZFIee1AhVroDkKk85daTalWcry0fAhszxbgEXyeVUhNovTRoKOF4G3k6ccffqP71ww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68276374,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68276374/thumbnails/1.jpg","file_name":"1_s2.0_S1290072921003409_main.pdf","download_url":"https://www.academia.edu/attachments/68276374/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MHD_nanofluid_free_convection_inside_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68276374/1_s2.0_S1290072921003409_main-libre.pdf?1627072853=\u0026response-content-disposition=attachment%3B+filename%3DMHD_nanofluid_free_convection_inside_the.pdf\u0026Expires=1734055886\u0026Signature=K~BSfgxcrY~Orb03V94V8gxPsbwU4xcWBKg~x3MBIoeJvzg7akg9ZoO98M~u9~r96IUx5YzcRLxmbYlro1Cun8H9~19mO5uPtZP8ux36cqoA1AxbvYwd9V3NQTqTyxES65FzXRjAI9-qfh6fkeMaMHK8QbOIlBGR5cXibdXOfGMXKI9kdvn8J-9y9xgf3~TPwNDWwGQNWcLyOOCzJGrVsWpDYcT~VorYwRSqm~t1TpIVL26SN0Ob--wlShfZbtbZbz9NjlHj9NTe7Z9LwNCAZFIee1AhVroDkKk85daTalWcry0fAhszxbgEXyeVUhNovTRoKOF4G3k6ccffqP71ww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49983450"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49983450/CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model"><img alt="Research paper thumbnail of CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model" class="work-thumbnail" src="https://attachments.academia-assets.com/68138229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49983450/CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model">CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model</a></div><div class="wp-workCard_item"><span>elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d1ac2490fcf3a9e5a3495985e439aa2f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68138229,"asset_id":49983450,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68138229/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49983450"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49983450"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49983450; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49983450]").text(description); $(".js-view-count[data-work-id=49983450]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49983450; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49983450']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49983450, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d1ac2490fcf3a9e5a3495985e439aa2f" } } $('.js-work-strip[data-work-id=49983450]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49983450,"title":"CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105446","abstract":"In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"elsevier"},"translated_abstract":"In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.","internal_url":"https://www.academia.edu/49983450/CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model","translated_internal_url":"","created_at":"2021-07-16T07:47:25.420-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36707910,"work_id":49983450,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":7270141,"email":"p***n@iaukhsh.ac.ir","display_order":1,"name":"Pouya Barnoon","title":"CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model"}],"downloadable_attachments":[{"id":68138229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68138229/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003390_main.pdf","download_url":"https://www.academia.edu/attachments/68138229/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CFD_simulation_of_time_dependent_oxygen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68138229/1_s2.0_S0735193321003390_main-libre.pdf?1626461817=\u0026response-content-disposition=attachment%3B+filename%3DCFD_simulation_of_time_dependent_oxygen.pdf\u0026Expires=1734055886\u0026Signature=UGkclMUqgbUrmLwg5f6IZ6pCgio6hBgBP4jASi~Z-KDA1kskg~nB2ZncHBm3ph2mMeh7o69qqnv3OwVNLQVaqnRznJLzrUWdSiFJhFMI2G8Vy~YMk6hkNgm4NP0pQ1f~UlsGoHSoPrCARhtyBV-gqjjdQ~yrSkfl85JaJuTSkrj0Qh5zt6umLXtZinGGKL4L6LI0hHf9IwCcx45ZAQraxEd5qPUoGBqAe4O5h2gjq0LIZz~q38eJ7pNyTVt0Osu5YSA8IdN4xcMSOGlysospmLmNcT3f096VatlbdE6hdjTwJpdAIK5DJ7koeSScPMoXqhsPoukRo1zMOXN1t1raFA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model","translated_slug":"","page_count":9,"language":"en","content_type":"Work","summary":"In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68138229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68138229/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003390_main.pdf","download_url":"https://www.academia.edu/attachments/68138229/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CFD_simulation_of_time_dependent_oxygen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68138229/1_s2.0_S0735193321003390_main-libre.pdf?1626461817=\u0026response-content-disposition=attachment%3B+filename%3DCFD_simulation_of_time_dependent_oxygen.pdf\u0026Expires=1734055886\u0026Signature=UGkclMUqgbUrmLwg5f6IZ6pCgio6hBgBP4jASi~Z-KDA1kskg~nB2ZncHBm3ph2mMeh7o69qqnv3OwVNLQVaqnRznJLzrUWdSiFJhFMI2G8Vy~YMk6hkNgm4NP0pQ1f~UlsGoHSoPrCARhtyBV-gqjjdQ~yrSkfl85JaJuTSkrj0Qh5zt6umLXtZinGGKL4L6LI0hHf9IwCcx45ZAQraxEd5qPUoGBqAe4O5h2gjq0LIZz~q38eJ7pNyTVt0Osu5YSA8IdN4xcMSOGlysospmLmNcT3f096VatlbdE6hdjTwJpdAIK5DJ7koeSScPMoXqhsPoukRo1zMOXN1t1raFA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49983019"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49983019/Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM"><img alt="Research paper thumbnail of Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM" class="work-thumbnail" src="https://attachments.academia-assets.com/68137978/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49983019/Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM">Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="361a2ba6625cc76b83397b0a04999eb5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68137978,"asset_id":49983019,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68137978/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49983019"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49983019"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49983019; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49983019]").text(description); $(".js-view-count[data-work-id=49983019]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49983019; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49983019']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49983019, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "361a2ba6625cc76b83397b0a04999eb5" } } $('.js-work-strip[data-work-id=49983019]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49983019,"title":"Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105428","abstract":"In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.","internal_url":"https://www.academia.edu/49983019/Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM","translated_internal_url":"","created_at":"2021-07-16T07:32:33.676-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36707780,"work_id":49983019,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":7270119,"email":"x***z@sina.com","display_order":1,"name":"Xinying Zhang","title":"Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM"},{"id":36707781,"work_id":49983019,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":2,"name":"Davood Toghraie","title":"Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM"}],"downloadable_attachments":[{"id":68137978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68137978/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003213_main.pdf","download_url":"https://www.academia.edu/attachments/68137978/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_study_of_mixed_convection_of_n.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68137978/1_s2.0_S0735193321003213_main-libre.pdf?1626446417=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_study_of_mixed_convection_of_n.pdf\u0026Expires=1734055886\u0026Signature=EKKe3SrW3xcKNXcmaj3XsK8NLsY78nj7K7prNudfT31Va6QRYDdwPJNeezgeKgwvxxkj3k0jAifMYEOI7cw6ERfUWXuZ6ZHLLa3bY~tMnxxsSvZFMZqnpNpXHsEhOyopH7xwLzBr9G0GMClTnxUPOLqRKAyXC1m~aBlqIZUsWnvBd9-y3VgiXq5p6GbYcb5NjDHs1uf1pd3s4VvNLeuax-kQetCV1A4d0aPdxn3hHxdx5MjUwiRLaXMecp0QVgvutOugtJc-aBuYVaMYAdy4uw0aacZvK7Xz8P8WCICd3pGlYxQ-Y00~88OmRr4JEMt4etPFKzkDrtOHp4viUiKkcg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM","translated_slug":"","page_count":14,"language":"en","content_type":"Work","summary":"In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68137978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68137978/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003213_main.pdf","download_url":"https://www.academia.edu/attachments/68137978/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_study_of_mixed_convection_of_n.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68137978/1_s2.0_S0735193321003213_main-libre.pdf?1626446417=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_study_of_mixed_convection_of_n.pdf\u0026Expires=1734055886\u0026Signature=EKKe3SrW3xcKNXcmaj3XsK8NLsY78nj7K7prNudfT31Va6QRYDdwPJNeezgeKgwvxxkj3k0jAifMYEOI7cw6ERfUWXuZ6ZHLLa3bY~tMnxxsSvZFMZqnpNpXHsEhOyopH7xwLzBr9G0GMClTnxUPOLqRKAyXC1m~aBlqIZUsWnvBd9-y3VgiXq5p6GbYcb5NjDHs1uf1pd3s4VvNLeuax-kQetCV1A4d0aPdxn3hHxdx5MjUwiRLaXMecp0QVgvutOugtJc-aBuYVaMYAdy4uw0aacZvK7Xz8P8WCICd3pGlYxQ-Y00~88OmRr4JEMt4etPFKzkDrtOHp4viUiKkcg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49340912"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49340912/Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies"><img alt="Research paper thumbnail of Thermo-hydraulic investigation of Al 2 O 3 /water nanofluid flow in an oval tube fitted with dual conical twisted-tape inserts: parametric studies" class="work-thumbnail" src="https://attachments.academia-assets.com/67714800/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49340912/Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies">Thermo-hydraulic investigation of Al 2 O 3 /water nanofluid flow in an oval tube fitted with dual conical twisted-tape inserts: parametric studies</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c5aa983743b43d69aca820ea46c55ba0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67714800,"asset_id":49340912,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67714800/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49340912"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49340912"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49340912; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49340912]").text(description); $(".js-view-count[data-work-id=49340912]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49340912; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49340912']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49340912, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c5aa983743b43d69aca820ea46c55ba0" } } $('.js-work-strip[data-work-id=49340912]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49340912,"title":"Thermo-hydraulic investigation of Al 2 O 3 /water nanofluid flow in an oval tube fitted with dual conical twisted-tape inserts: parametric studies","translated_title":"","metadata":{"doi":"10.1140/epjp/s13360-021-01664-w","abstract":"This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.","internal_url":"https://www.academia.edu/49340912/Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies","translated_internal_url":"","created_at":"2021-06-22T10:13:24.886-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67714800,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67714800/thumbnails/1.jpg","file_name":"10.1140_epjp_s13360_021_01664_w_g9mb.pdf","download_url":"https://www.academia.edu/attachments/67714800/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Thermo_hydraulic_investigation_of_Al_2_O.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67714800/10.1140_epjp_s13360_021_01664_w_g9mb-libre.pdf?1624382597=\u0026response-content-disposition=attachment%3B+filename%3DThermo_hydraulic_investigation_of_Al_2_O.pdf\u0026Expires=1734055886\u0026Signature=C6PFcXbe8fHDE9lSrv3qUNrvrdbjpJZDG4TiloYRNA15ZT~NMPTId~o5rt9rvxhDPTgKhoCJoyY~4zX6ZXN2031J1pH48DtQU49psGYGExdlFhgbM-v0~GBFMqVInkTrWjPqf3Wm-tw7LdPhTI7T1PrS6dDy3ejB8TzhVL9uWVhDelvfvX3BmsJkptDwh71gjfOblA9rCKowS5CbRWLKMJo4ehyUqqDqw-3UQ9v-pb5voSk9E9knkytbs7Ov75y~1-ukyWgIC8o~LtKlW7Cay0Eyq4jngjDghBBASXlbr-9n9dJITDTai4RGNZWTTaS59JkA5MxwhMmgkTpFHm5I8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies","translated_slug":"","page_count":17,"language":"en","content_type":"Work","summary":"This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67714800,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67714800/thumbnails/1.jpg","file_name":"10.1140_epjp_s13360_021_01664_w_g9mb.pdf","download_url":"https://www.academia.edu/attachments/67714800/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Thermo_hydraulic_investigation_of_Al_2_O.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67714800/10.1140_epjp_s13360_021_01664_w_g9mb-libre.pdf?1624382597=\u0026response-content-disposition=attachment%3B+filename%3DThermo_hydraulic_investigation_of_Al_2_O.pdf\u0026Expires=1734055886\u0026Signature=C6PFcXbe8fHDE9lSrv3qUNrvrdbjpJZDG4TiloYRNA15ZT~NMPTId~o5rt9rvxhDPTgKhoCJoyY~4zX6ZXN2031J1pH48DtQU49psGYGExdlFhgbM-v0~GBFMqVInkTrWjPqf3Wm-tw7LdPhTI7T1PrS6dDy3ejB8TzhVL9uWVhDelvfvX3BmsJkptDwh71gjfOblA9rCKowS5CbRWLKMJo4ehyUqqDqw-3UQ9v-pb5voSk9E9knkytbs7Ov75y~1-ukyWgIC8o~LtKlW7Cay0Eyq4jngjDghBBASXlbr-9n9dJITDTai4RGNZWTTaS59JkA5MxwhMmgkTpFHm5I8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49303133"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49303133/Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique"><img alt="Research paper thumbnail of Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique" class="work-thumbnail" src="https://attachments.academia-assets.com/67684126/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49303133/Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique">Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">One of the methods of repairing the damaged bone is the fabrication of porous scaffold using syne...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07a578d5ed6044878bb30fa915cf0f5f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67684126,"asset_id":49303133,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67684126/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49303133"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49303133"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49303133; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49303133]").text(description); $(".js-view-count[data-work-id=49303133]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49303133; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49303133']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49303133, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "07a578d5ed6044878bb30fa915cf0f5f" } } $('.js-work-strip[data-work-id=49303133]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49303133,"title":"Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique","translated_title":"","metadata":{"doi":"10.1016/j.jmbbm.2021.104643","abstract":"One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.","internal_url":"https://www.academia.edu/49303133/Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique","translated_internal_url":"","created_at":"2021-06-20T03:28:32.642-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36633999,"work_id":49303133,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":1172988,"email":"m***i@med.mui.ac.ir","display_order":1,"name":"Mohammad Dehghani","title":"Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique"}],"downloadable_attachments":[{"id":67684126,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67684126/thumbnails/1.jpg","file_name":"1_s2.0_S1751616121003210_main.pdf","download_url":"https://www.academia.edu/attachments/67684126/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_the_mechanical_properti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67684126/1_s2.0_S1751616121003210_main-libre.pdf?1624188607=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_the_mechanical_properti.pdf\u0026Expires=1734055886\u0026Signature=RCEDTymN-9xYVfF-mwgKG9sZ0r8OXdfMa-Uhabv~20yDHoSC1~lbgcfT28O1APlCStrone5YhihplQrvcM5qZH2-~-8TSGmNFp3ll56ixPeNiUW2j8CFzlGYStsjCxpFbYI4hvztAGTKKk3u3RwP7WsBJk1YPvu31XLseTJZxsw0Ym~yLe2oFuWXgsWNlUT0iyefhcBQOdI9zWpRtgeCXNRCGTrXGpGbtEVCR8fw8Axd4Worpn0htJbRoDItKN64fjVrq2jj7-fDfiobswyVdLcO0YYsONyYCcRQIBbu3RidMrNgmg26QDPJCdIJqes04HHHBkIAGM5FhhSAwBN8eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique","translated_slug":"","page_count":9,"language":"en","content_type":"Work","summary":"One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67684126,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67684126/thumbnails/1.jpg","file_name":"1_s2.0_S1751616121003210_main.pdf","download_url":"https://www.academia.edu/attachments/67684126/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_the_mechanical_properti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67684126/1_s2.0_S1751616121003210_main-libre.pdf?1624188607=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_the_mechanical_properti.pdf\u0026Expires=1734055886\u0026Signature=RCEDTymN-9xYVfF-mwgKG9sZ0r8OXdfMa-Uhabv~20yDHoSC1~lbgcfT28O1APlCStrone5YhihplQrvcM5qZH2-~-8TSGmNFp3ll56ixPeNiUW2j8CFzlGYStsjCxpFbYI4hvztAGTKKk3u3RwP7WsBJk1YPvu31XLseTJZxsw0Ym~yLe2oFuWXgsWNlUT0iyefhcBQOdI9zWpRtgeCXNRCGTrXGpGbtEVCR8fw8Axd4Worpn0htJbRoDItKN64fjVrq2jj7-fDfiobswyVdLcO0YYsONyYCcRQIBbu3RidMrNgmg26QDPJCdIJqes04HHHBkIAGM5FhhSAwBN8eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49253597"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49253597/The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation"><img alt="Research paper thumbnail of The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation" class="work-thumbnail" src="https://attachments.academia-assets.com/67637229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49253597/The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation">The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside mi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels<br />with ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.<br />Then, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces<br />ofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,<br />and temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,<br />750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-<br />time steps. It was reported that density distribution in the 300 layers in the center of a microchannel with<br />cubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,<br />with the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower<br />density values than those of other microchannels. On the other side, quantitative results indicate that<br />density differences in the central regions of microchannels are compensated with increasing time steps.<br />Therefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution<br />of atoms within different regions of microchannels.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3b7a57283c93a2fab7cdeec2a1bf11ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67637229,"asset_id":49253597,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67637229/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49253597"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49253597"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49253597; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49253597]").text(description); $(".js-view-count[data-work-id=49253597]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49253597; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49253597']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49253597, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3b7a57283c93a2fab7cdeec2a1bf11ea" } } $('.js-work-strip[data-work-id=49253597]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49253597,"title":"The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation","translated_title":"","metadata":{"doi":"10.1016/j.molliq.2021.116672","abstract":"In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels\nwith ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.\nThen, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces\nofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,\nand temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,\n750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-\ntime steps. It was reported that density distribution in the 300 layers in the center of a microchannel with\ncubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,\nwith the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower\ndensity values than those of other microchannels. On the other side, quantitative results indicate that\ndensity differences in the central regions of microchannels are compensated with increasing time steps.\nTherefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution\nof atoms within different regions of microchannels.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels\nwith ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.\nThen, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces\nofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,\nand temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,\n750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-\ntime steps. It was reported that density distribution in the 300 layers in the center of a microchannel with\ncubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,\nwith the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower\ndensity values than those of other microchannels. On the other side, quantitative results indicate that\ndensity differences in the central regions of microchannels are compensated with increasing time steps.\nTherefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution\nof atoms within different regions of microchannels.","internal_url":"https://www.academia.edu/49253597/The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation","translated_internal_url":"","created_at":"2021-06-15T12:02:50.445-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36622721,"work_id":49253597,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation"}],"downloadable_attachments":[{"id":67637229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67637229/thumbnails/1.jpg","file_name":"1_s2.0_S0167732221013969_main.pdf","download_url":"https://www.academia.edu/attachments/67637229/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_effects_of_shape_of_barriers_on_norm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67637229/1_s2.0_S0167732221013969_main-libre.pdf?1623790416=\u0026response-content-disposition=attachment%3B+filename%3DThe_effects_of_shape_of_barriers_on_norm.pdf\u0026Expires=1734055886\u0026Signature=WfYkqPc~cMZBQW5TdJUuOvtgyQHSMIi2KPeaYqy9YMj3S9GoK-pKaot8tUMo72ldpesHXmTx4y4HE9tbL0kPJ0bbVapDQC2ososJPTHH7tXiaUAGLOtcgcxLcFcgH6Ze9epW8Th68f2PCaPeJr9okiQGRkRcjBC2ziJ4GaJYzLIfAT2lSQAJLo7EoQW-aIUHeOxQm~RUCyVWN-gaVtzIZRHDOByG~MVVJ72Um9fWOCXl7JHA7XGoQVooFr5klrSndJ2d-YqlhHJ9odoakb1XLtnnRU5j0ISLoim6W9oBkR~a9H-L1Jt7Y0uKxzovCdO5qJqVnIY7IaLOgHEHRD92rg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation","translated_slug":"","page_count":5,"language":"en","content_type":"Work","summary":"In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels\nwith ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.\nThen, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces\nofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,\nand temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,\n750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-\ntime steps. It was reported that density distribution in the 300 layers in the center of a microchannel with\ncubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,\nwith the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower\ndensity values than those of other microchannels. On the other side, quantitative results indicate that\ndensity differences in the central regions of microchannels are compensated with increasing time steps.\nTherefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution\nof atoms within different regions of microchannels.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67637229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67637229/thumbnails/1.jpg","file_name":"1_s2.0_S0167732221013969_main.pdf","download_url":"https://www.academia.edu/attachments/67637229/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_effects_of_shape_of_barriers_on_norm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67637229/1_s2.0_S0167732221013969_main-libre.pdf?1623790416=\u0026response-content-disposition=attachment%3B+filename%3DThe_effects_of_shape_of_barriers_on_norm.pdf\u0026Expires=1734055886\u0026Signature=WfYkqPc~cMZBQW5TdJUuOvtgyQHSMIi2KPeaYqy9YMj3S9GoK-pKaot8tUMo72ldpesHXmTx4y4HE9tbL0kPJ0bbVapDQC2ososJPTHH7tXiaUAGLOtcgcxLcFcgH6Ze9epW8Th68f2PCaPeJr9okiQGRkRcjBC2ziJ4GaJYzLIfAT2lSQAJLo7EoQW-aIUHeOxQm~RUCyVWN-gaVtzIZRHDOByG~MVVJ72Um9fWOCXl7JHA7XGoQVooFr5klrSndJ2d-YqlhHJ9odoakb1XLtnnRU5j0ISLoim6W9oBkR~a9H-L1Jt7Y0uKxzovCdO5qJqVnIY7IaLOgHEHRD92rg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49144561"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49144561/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs"><img alt="Research paper thumbnail of Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs" class="work-thumbnail" src="https://attachments.academia-assets.com/67534531/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49144561/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs">Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="62673aac2e1f28337b5cafd4eb477871" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67534531,"asset_id":49144561,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67534531/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49144561"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49144561"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49144561; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49144561]").text(description); $(".js-view-count[data-work-id=49144561]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49144561; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49144561']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49144561, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "62673aac2e1f28337b5cafd4eb477871" } } $('.js-work-strip[data-work-id=49144561]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49144561,"title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs","translated_title":"","metadata":{"doi":"10.1016/j.csite.2021.101122","abstract":"This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .","internal_url":"https://www.academia.edu/49144561/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs","translated_internal_url":"","created_at":"2021-06-06T08:37:12.961-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36595247,"work_id":49144561,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs"}],"downloadable_attachments":[{"id":67534531,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67534531/thumbnails/1.jpg","file_name":"1_s2.0_S2214157X21002859_main.pdf","download_url":"https://www.academia.edu/attachments/67534531/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67534531/1_s2.0_S2214157X21002859_main-libre.pdf?1622996831=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055886\u0026Signature=RbV9Q69jDfDhw6KSe1dAqkd6QUMmyoiUhMDhDeFNjQRSSQcEJPKeGdK0l3svmrjBJJdiGj9O3rwuvvQzfWOi4qm9nGjvqyWdBIbfLEMp8o5ime6FHyXB94MbLtH9CNfyNnMD0nMwcgRjHUM~REuGOxLqy9mnUPq87Svot9MYomJ2LTfw4k-l6cyagieMCTiEmqkwlgztDQgdysx3Mh7uAdFdD~ktfjOxWKNjIRmzvjpmKaIDKXuoIXJjLQPMbNsNl~F8a70sHGhVroycmH7R3GmHFhhblCLFqo9DBXWPU6rh8jrgCSC3fLrbVdckJsgXDgHhswG025rsFAb1ygXc1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67534531,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67534531/thumbnails/1.jpg","file_name":"1_s2.0_S2214157X21002859_main.pdf","download_url":"https://www.academia.edu/attachments/67534531/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67534531/1_s2.0_S2214157X21002859_main-libre.pdf?1622996831=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055886\u0026Signature=RbV9Q69jDfDhw6KSe1dAqkd6QUMmyoiUhMDhDeFNjQRSSQcEJPKeGdK0l3svmrjBJJdiGj9O3rwuvvQzfWOi4qm9nGjvqyWdBIbfLEMp8o5ime6FHyXB94MbLtH9CNfyNnMD0nMwcgRjHUM~REuGOxLqy9mnUPq87Svot9MYomJ2LTfw4k-l6cyagieMCTiEmqkwlgztDQgdysx3Mh7uAdFdD~ktfjOxWKNjIRmzvjpmKaIDKXuoIXJjLQPMbNsNl~F8a70sHGhVroycmH7R3GmHFhhblCLFqo9DBXWPU6rh8jrgCSC3fLrbVdckJsgXDgHhswG025rsFAb1ygXc1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49136222"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49136222/Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks"><img alt="Research paper thumbnail of Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks" class="work-thumbnail" src="https://attachments.academia-assets.com/67526660/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49136222/Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks">Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers u...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="55a85a5d08a01ced2bd180ce3cff357d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67526660,"asset_id":49136222,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67526660/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49136222"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49136222"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49136222; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49136222]").text(description); $(".js-view-count[data-work-id=49136222]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49136222; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49136222']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49136222, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "55a85a5d08a01ced2bd180ce3cff357d" } } $('.js-work-strip[data-work-id=49136222]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49136222,"title":"Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks","translated_title":"","metadata":{"doi":"10.1016/j.est.2021.102774","abstract":"In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.","internal_url":"https://www.academia.edu/49136222/Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks","translated_internal_url":"","created_at":"2021-06-05T09:51:24.855-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36593368,"work_id":49136222,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks"}],"downloadable_attachments":[{"id":67526660,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67526660/thumbnails/1.jpg","file_name":"1_s2.0_S2352152X21005016_main.pdf","download_url":"https://www.academia.edu/attachments/67526660/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_heat_transfer_in_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67526660/1_s2.0_S2352152X21005016_main-libre.pdf?1622911975=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_heat_transfer_in_p.pdf\u0026Expires=1734055886\u0026Signature=YEB35laHQgu83pgJfQSkgQM968qT11R1F1QDlNo1pTkj1SPutW25VKYeuoG0BF9nhYXZj5d2gBGR9uCoN68higd2p7imA2x1ZDZwkaPie9Vk128GqkcBJBzagP7qulxucY6BuAv5uECAEUehy0BSGFfcv-VVVk-yypIa9WwZu30fRy1QU53d~UBD9gvtbHjLpClAs9-0q8NGDdFltCk7UxPGOzPdzoKdhyhcCidTPS-1dPS9YyI0GvURNJ0VDLiT8GxlkDReU58N1ogJsea48cZzay5b~E7jLJUukqxZZrcubMi4Vjq59C9B9qOsECWERoz78pthM0P4d06rLZ3Syw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks","translated_slug":"","page_count":20,"language":"en","content_type":"Work","summary":"In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67526660,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67526660/thumbnails/1.jpg","file_name":"1_s2.0_S2352152X21005016_main.pdf","download_url":"https://www.academia.edu/attachments/67526660/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_heat_transfer_in_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67526660/1_s2.0_S2352152X21005016_main-libre.pdf?1622911975=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_heat_transfer_in_p.pdf\u0026Expires=1734055886\u0026Signature=YEB35laHQgu83pgJfQSkgQM968qT11R1F1QDlNo1pTkj1SPutW25VKYeuoG0BF9nhYXZj5d2gBGR9uCoN68higd2p7imA2x1ZDZwkaPie9Vk128GqkcBJBzagP7qulxucY6BuAv5uECAEUehy0BSGFfcv-VVVk-yypIa9WwZu30fRy1QU53d~UBD9gvtbHjLpClAs9-0q8NGDdFltCk7UxPGOzPdzoKdhyhcCidTPS-1dPS9YyI0GvURNJ0VDLiT8GxlkDReU58N1ogJsea48cZzay5b~E7jLJUukqxZZrcubMi4Vjq59C9B9qOsECWERoz78pthM0P4d06rLZ3Syw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49103899"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49103899/Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs"><img alt="Research paper thumbnail of Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs" class="work-thumbnail" src="https://attachments.academia-assets.com/67498734/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49103899/Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs">Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this numerical work is to evaluate the first law and second law performances of ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b168a0e5384ac19b5df3a65719c5a2ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67498734,"asset_id":49103899,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67498734/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49103899"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49103899"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49103899; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49103899]").text(description); $(".js-view-count[data-work-id=49103899]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49103899; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49103899']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49103899, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b168a0e5384ac19b5df3a65719c5a2ee" } } $('.js-work-strip[data-work-id=49103899]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49103899,"title":"Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs","translated_title":"","metadata":{"doi":"10.1016/j.cjche.2020.08.053","abstract":"The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .","internal_url":"https://www.academia.edu/49103899/Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs","translated_internal_url":"","created_at":"2021-06-02T22:00:36.852-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36586095,"work_id":49103899,"tagging_user_id":5734988,"tagged_user_id":5734988,"co_author_invite_id":7247641,"email":"d***e@gmail.com","affiliation":"ISLAMIC AZAD UNIVERSITY KHOMEINISHAHR BRANCH","display_order":1,"name":"Dr. Davood Toghraie","title":"Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs"}],"downloadable_attachments":[{"id":67498734,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67498734/thumbnails/1.jpg","file_name":"1_s2.0_S1004954120305875_main.pdf","download_url":"https://www.academia.edu/attachments/67498734/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrothermal_and_entropy_generation_spec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67498734/1_s2.0_S1004954120305875_main-libre.pdf?1622753582=\u0026response-content-disposition=attachment%3B+filename%3DHydrothermal_and_entropy_generation_spec.pdf\u0026Expires=1734055886\u0026Signature=E1fhJy5Tj0YG55Y6iDB13HAmEoS1mxgklgZxr15AuoR6Ad99EpuuvZHGp1Nb4pI6CCg2eTMHJ5mLou7TNuYd7m4hv7YRNept8BpndAWn3eNchTVxDH3L3b2wS7ccdCwmCjk~E-jarC3lXx-Vt1lZBS0frAKhfn6S-MKEv45W-F8TU1ox-xlPzvUVLPLxyo162b4n3f5GqgmKR51MXLWFDMFVTWPFRy6cnvd11Z9ly~61uTqxib4y2JHCnZ4lhzjjA2sJgTW7OMBE4lPiYWy7EYwqF9k5b2EHEXS6BsKHuDP5RhPmxceM7Djldt-wxw2xcvYiXgfjBjDc~UMWQ1o2KA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67498734,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67498734/thumbnails/1.jpg","file_name":"1_s2.0_S1004954120305875_main.pdf","download_url":"https://www.academia.edu/attachments/67498734/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrothermal_and_entropy_generation_spec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67498734/1_s2.0_S1004954120305875_main-libre.pdf?1622753582=\u0026response-content-disposition=attachment%3B+filename%3DHydrothermal_and_entropy_generation_spec.pdf\u0026Expires=1734055886\u0026Signature=E1fhJy5Tj0YG55Y6iDB13HAmEoS1mxgklgZxr15AuoR6Ad99EpuuvZHGp1Nb4pI6CCg2eTMHJ5mLou7TNuYd7m4hv7YRNept8BpndAWn3eNchTVxDH3L3b2wS7ccdCwmCjk~E-jarC3lXx-Vt1lZBS0frAKhfn6S-MKEv45W-F8TU1ox-xlPzvUVLPLxyo162b4n3f5GqgmKR51MXLWFDMFVTWPFRy6cnvd11Z9ly~61uTqxib4y2JHCnZ4lhzjjA2sJgTW7OMBE4lPiYWy7EYwqF9k5b2EHEXS6BsKHuDP5RhPmxceM7Djldt-wxw2xcvYiXgfjBjDc~UMWQ1o2KA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49051901"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49051901/Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization"><img alt="Research paper thumbnail of Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization" class="work-thumbnail" src="https://attachments.academia-assets.com/67440958/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49051901/Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization">Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the present study, a power plant design was first carried out using thermo flow software. Ener...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,<br />and economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the<br />year, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity<br />production, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and<br />efficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic<br />algorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants<br />by 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy<br />consumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much<br />more suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of<br />solar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately<br />includes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from<br />energy, exergy, economic, and environmental. It should be noted that the increase of isen,ST will require an increase in initial<br />investment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency<br />to 88% is reasonable and will not be more than that.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ce1f0af92cf94485aa6899d3ec2bd0dd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67440958,"asset_id":49051901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67440958/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49051901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49051901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49051901; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49051901]").text(description); $(".js-view-count[data-work-id=49051901]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49051901; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49051901']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49051901, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ce1f0af92cf94485aa6899d3ec2bd0dd" } } $('.js-work-strip[data-work-id=49051901]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49051901,"title":"Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization","translated_title":"","metadata":{"doi":"10.1007/s10973-020-10371-0","abstract":"In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,\nand economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the\nyear, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity\nproduction, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and\nefficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic\nalgorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants\nby 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy\nconsumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much\nmore suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of\nsolar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately\nincludes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from\nenergy, exergy, economic, and environmental. It should be noted that the increase of \u001fisen,ST will require an increase in initial\ninvestment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency\nto 88% is reasonable and will not be more than that.","ai_title_tag":"Susceptibility Analysis for 50 MW Solar Thermal Plants","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,\nand economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the\nyear, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity\nproduction, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and\nefficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic\nalgorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants\nby 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy\nconsumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much\nmore suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of\nsolar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately\nincludes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from\nenergy, exergy, economic, and environmental. It should be noted that the increase of \u001fisen,ST will require an increase in initial\ninvestment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency\nto 88% is reasonable and will not be more than that.","internal_url":"https://www.academia.edu/49051901/Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization","translated_internal_url":"","created_at":"2021-05-26T22:46:20.666-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36564379,"work_id":49051901,"tagging_user_id":5734988,"tagged_user_id":48085049,"co_author_invite_id":null,"email":"g***2@gmail.com","display_order":1,"name":"gholamreza ahmadi","title":"Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization"}],"downloadable_attachments":[{"id":67440958,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67440958/thumbnails/1.jpg","file_name":"10.1007_s10973_020_10371_0.pdf","download_url":"https://www.academia.edu/attachments/67440958/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Finding_susceptible_areas_for_a_50_MW_so.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67440958/10.1007_s10973_020_10371_0-libre.pdf?1622098180=\u0026response-content-disposition=attachment%3B+filename%3DFinding_susceptible_areas_for_a_50_MW_so.pdf\u0026Expires=1734055886\u0026Signature=XjcVLSMabVFIwTlkU~xhc9zRzWo~Gtk9Fs3mTxmm2ESeGyiMuVC8HeEvbxq1a6aci2ZzjOYCq68HUQ4GS5sjaZ~dnCuABuwVQqs~Ma~xbgY6ka~X06TW2jFwxQhpJtg9-PpOswX8MXGnq~l4O~vZyqU-j0lRJhGjjwHs-x1C8Mo-Cq7z~h6VLTY5HUJVzgPFJUYI1-k5AkFi5CZtST6IImDLzn8G3ekUzOh50OW3HRlKYDxArhIJ3pzblJcSJk3TURMB7WS5UFq07BLr72hsi37R5FQ6lsFbGoat0-l2O02KJACcMGUkgbU8FQ1e-KRBrr6TrDjP5-vvs4MS7rQobQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization","translated_slug":"","page_count":24,"language":"en","content_type":"Work","summary":"In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,\nand economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the\nyear, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity\nproduction, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and\nefficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic\nalgorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants\nby 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy\nconsumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much\nmore suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of\nsolar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately\nincludes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from\nenergy, exergy, economic, and environmental. It should be noted that the increase of \u001fisen,ST will require an increase in initial\ninvestment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency\nto 88% is reasonable and will not be more than that.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67440958,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67440958/thumbnails/1.jpg","file_name":"10.1007_s10973_020_10371_0.pdf","download_url":"https://www.academia.edu/attachments/67440958/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Finding_susceptible_areas_for_a_50_MW_so.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67440958/10.1007_s10973_020_10371_0-libre.pdf?1622098180=\u0026response-content-disposition=attachment%3B+filename%3DFinding_susceptible_areas_for_a_50_MW_so.pdf\u0026Expires=1734055886\u0026Signature=XjcVLSMabVFIwTlkU~xhc9zRzWo~Gtk9Fs3mTxmm2ESeGyiMuVC8HeEvbxq1a6aci2ZzjOYCq68HUQ4GS5sjaZ~dnCuABuwVQqs~Ma~xbgY6ka~X06TW2jFwxQhpJtg9-PpOswX8MXGnq~l4O~vZyqU-j0lRJhGjjwHs-x1C8Mo-Cq7z~h6VLTY5HUJVzgPFJUYI1-k5AkFi5CZtST6IImDLzn8G3ekUzOh50OW3HRlKYDxArhIJ3pzblJcSJk3TURMB7WS5UFq07BLr72hsi37R5FQ6lsFbGoat0-l2O02KJACcMGUkgbU8FQ1e-KRBrr6TrDjP5-vvs4MS7rQobQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48962200"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48962200/Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes"><img alt="Research paper thumbnail of Numerical analysis of flow and heat transfer in an elliptical duct fitted with two rotating twisted tapes" class="work-thumbnail" src="https://attachments.academia-assets.com/67356205/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48962200/Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes">Numerical analysis of flow and heat transfer in an elliptical duct fitted with two rotating twisted tapes</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigates the effects of using the rotating twisted tapes on fluid flow, heat trans...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal<br />performance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted<br />tapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar<br />with Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of<br />twisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results<br />suggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the<br />Re number increases the Nu number in all cases. At each Re number, the lowest and the highest increments<br />resulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.<br />Using the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50<br />to 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above<br />1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet<br />velocity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a5aa6fb072fd2654f6f3a789a62d063" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67356205,"asset_id":48962200,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67356205/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48962200"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48962200"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48962200; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48962200]").text(description); $(".js-view-count[data-work-id=48962200]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48962200; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48962200']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48962200, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5a5aa6fb072fd2654f6f3a789a62d063" } } $('.js-work-strip[data-work-id=48962200]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48962200,"title":"Numerical analysis of flow and heat transfer in an elliptical duct fitted with two rotating twisted tapes","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105328","abstract":"This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal\nperformance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted\ntapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar\nwith Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of\ntwisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results\nsuggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the\nRe number increases the Nu number in all cases. At each Re number, the lowest and the highest increments\nresulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.\nUsing the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50\nto 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above\n1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet\nvelocity.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal\nperformance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted\ntapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar\nwith Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of\ntwisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results\nsuggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the\nRe number increases the Nu number in all cases. At each Re number, the lowest and the highest increments\nresulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.\nUsing the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50\nto 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above\n1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet\nvelocity.","internal_url":"https://www.academia.edu/48962200/Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes","translated_internal_url":"","created_at":"2021-05-17T22:15:03.334-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67356205,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67356205/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321002219_main.pdf","download_url":"https://www.academia.edu/attachments/67356205/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_flow_and_heat_tran.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67356205/1_s2.0_S0735193321002219_main-libre.pdf?1621326171=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_flow_and_heat_tran.pdf\u0026Expires=1734055886\u0026Signature=N8zm~mkGpkmzqFT-OdtEMMiNmRUBqHLp3Xyzr2Dc-2pyGZpmx1oElljChwS3J3eX5sJOT5Eq8Azaf00QZN2EQ~yh8dxaOd1tcnn1~za3uEtJCqFbVo7njgWnRJzpVFlCERa9~pGhV34oZCO-jGBxTEbUtQhG5~Aro0hP4FnH8sSIz453WQQD5hyXmwdiWSCXi6~~Eseo87377w~9unisOuuhW1PucswWMpWLsinsINFLGBtDZr8aVPmFmJ-U9uNDdWq~ujnLL4U4FlReHV5r8U6cPeLUUHmfVEbc7DFYdlzN-cJS2MvE0c0ue8YtUrOB2WsG6GdpqSerowYX2ZiceA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal\nperformance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted\ntapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar\nwith Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of\ntwisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results\nsuggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the\nRe number increases the Nu number in all cases. At each Re number, the lowest and the highest increments\nresulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.\nUsing the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50\nto 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above\n1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet\nvelocity.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67356205,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67356205/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321002219_main.pdf","download_url":"https://www.academia.edu/attachments/67356205/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_flow_and_heat_tran.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67356205/1_s2.0_S0735193321002219_main-libre.pdf?1621326171=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_flow_and_heat_tran.pdf\u0026Expires=1734055886\u0026Signature=N8zm~mkGpkmzqFT-OdtEMMiNmRUBqHLp3Xyzr2Dc-2pyGZpmx1oElljChwS3J3eX5sJOT5Eq8Azaf00QZN2EQ~yh8dxaOd1tcnn1~za3uEtJCqFbVo7njgWnRJzpVFlCERa9~pGhV34oZCO-jGBxTEbUtQhG5~Aro0hP4FnH8sSIz453WQQD5hyXmwdiWSCXi6~~Eseo87377w~9unisOuuhW1PucswWMpWLsinsINFLGBtDZr8aVPmFmJ-U9uNDdWq~ujnLL4U4FlReHV5r8U6cPeLUUHmfVEbc7DFYdlzN-cJS2MvE0c0ue8YtUrOB2WsG6GdpqSerowYX2ZiceA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48948435"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48948435/Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution"><img alt="Research paper thumbnail of Experimental analysis of hollow fiber membrane dehumidifier system with SiO2/CaCl2 aqueous desiccant solution" class="work-thumbnail" src="https://attachments.academia-assets.com/67346154/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48948435/Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution">Experimental analysis of hollow fiber membrane dehumidifier system with SiO2/CaCl2 aqueous desiccant solution</a></div><div class="wp-workCard_item"><span>Science direct</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The liquid desiccant air conditioning system is amongst the promising technologies for the provis...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The liquid desiccant air conditioning system is amongst the promising technologies for the provision<br />of efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased<br />dehumidification systems have drawn large attention. Various techniques are used to enhance<br />the performance of different dehumidification system types. The effect of using calcium chloride<br />nanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber<br />membrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2<br />m3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity<br />analysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and<br />solution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.<br />The results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible<br />and latent effectiveness improved at the condition of high inlet solution temperature. The effect<br />of employing nanofluid on exergy performance is the highest for the highest concentration of<br />nanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted<br />by using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid<br />concentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased<br />by 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d692759672d33a212067d217b73f3334" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67346154,"asset_id":48948435,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67346154/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48948435"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48948435"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48948435; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48948435]").text(description); $(".js-view-count[data-work-id=48948435]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48948435; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48948435']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48948435, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d692759672d33a212067d217b73f3334" } } $('.js-work-strip[data-work-id=48948435]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48948435,"title":"Experimental analysis of hollow fiber membrane dehumidifier system with SiO2/CaCl2 aqueous desiccant solution","translated_title":"","metadata":{"doi":"10.1016/j.egyr.2021.05.010","abstract":"The liquid desiccant air conditioning system is amongst the promising technologies for the provision\nof efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased\ndehumidification systems have drawn large attention. Various techniques are used to enhance\nthe performance of different dehumidification system types. The effect of using calcium chloride\nnanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber\nmembrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2\nm3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity\nanalysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and\nsolution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.\nThe results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible\nand latent effectiveness improved at the condition of high inlet solution temperature. The effect\nof employing nanofluid on exergy performance is the highest for the highest concentration of\nnanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted\nby using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid\nconcentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased\nby 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Science direct"},"translated_abstract":"The liquid desiccant air conditioning system is amongst the promising technologies for the provision\nof efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased\ndehumidification systems have drawn large attention. Various techniques are used to enhance\nthe performance of different dehumidification system types. The effect of using calcium chloride\nnanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber\nmembrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2\nm3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity\nanalysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and\nsolution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.\nThe results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible\nand latent effectiveness improved at the condition of high inlet solution temperature. The effect\nof employing nanofluid on exergy performance is the highest for the highest concentration of\nnanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted\nby using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid\nconcentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased\nby 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.","internal_url":"https://www.academia.edu/48948435/Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution","translated_internal_url":"","created_at":"2021-05-17T05:45:43.991-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67346154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67346154/thumbnails/1.jpg","file_name":"1_s2.0_S2352484721002882_main.pdf","download_url":"https://www.academia.edu/attachments/67346154/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experimental_analysis_of_hollow_fiber_me.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67346154/1_s2.0_S2352484721002882_main-libre.pdf?1621257432=\u0026response-content-disposition=attachment%3B+filename%3DExperimental_analysis_of_hollow_fiber_me.pdf\u0026Expires=1734055887\u0026Signature=JH1A9ogFcLOO5DvRoxtksr1DjvwcuN1Imv4iwlAjKUCdQhqzdS85xfoK8NbJQYf-XyKkFr2zFN9RcA03O~zD4h0WPxz5dragP1SiUSJGzvfszbWGXkF-5qhuI~njZTBVrBHQxqUj8dStBHgnX4UgdB9u5Nb5P~u8t9j6QGHfzS1abKrpwaxGVPbU3qw6KHCw8a7snxlAQPOmFvXU7wbQh0soy3qoHt0lZJdXLdlPWJQZb4JU9CGMAno3YVjXeuuzj9XH1YBajd-H3Y734hixRMjSvXVa0JzpObSlengqIjfeTCN1eparIQy4vpuMugI3i-SzE5iH6f1j~aCPZv4Ahw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"The liquid desiccant air conditioning system is amongst the promising technologies for the provision\nof efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased\ndehumidification systems have drawn large attention. Various techniques are used to enhance\nthe performance of different dehumidification system types. The effect of using calcium chloride\nnanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber\nmembrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2\nm3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity\nanalysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and\nsolution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.\nThe results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible\nand latent effectiveness improved at the condition of high inlet solution temperature. The effect\nof employing nanofluid on exergy performance is the highest for the highest concentration of\nnanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted\nby using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid\nconcentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased\nby 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67346154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67346154/thumbnails/1.jpg","file_name":"1_s2.0_S2352484721002882_main.pdf","download_url":"https://www.academia.edu/attachments/67346154/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experimental_analysis_of_hollow_fiber_me.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67346154/1_s2.0_S2352484721002882_main-libre.pdf?1621257432=\u0026response-content-disposition=attachment%3B+filename%3DExperimental_analysis_of_hollow_fiber_me.pdf\u0026Expires=1734055887\u0026Signature=JH1A9ogFcLOO5DvRoxtksr1DjvwcuN1Imv4iwlAjKUCdQhqzdS85xfoK8NbJQYf-XyKkFr2zFN9RcA03O~zD4h0WPxz5dragP1SiUSJGzvfszbWGXkF-5qhuI~njZTBVrBHQxqUj8dStBHgnX4UgdB9u5Nb5P~u8t9j6QGHfzS1abKrpwaxGVPbU3qw6KHCw8a7snxlAQPOmFvXU7wbQh0soy3qoHt0lZJdXLdlPWJQZb4JU9CGMAno3YVjXeuuzj9XH1YBajd-H3Y734hixRMjSvXVa0JzpObSlengqIjfeTCN1eparIQy4vpuMugI3i-SzE5iH6f1j~aCPZv4Ahw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48864596"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48864596/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide"><img alt="Research paper thumbnail of Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide" class="work-thumbnail" src="https://attachments.academia-assets.com/67277132/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48864596/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide">Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol<br />(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a<br />two-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as<br />well as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50<br />°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was<br />26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in<br />102 data points.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3e2fd140090f7fd251d8c47d795db5ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67277132,"asset_id":48864596,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67277132/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48864596"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48864596"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48864596; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48864596]").text(description); $(".js-view-count[data-work-id=48864596]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48864596; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48864596']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48864596, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3e2fd140090f7fd251d8c47d795db5ee" } } $('.js-work-strip[data-work-id=48864596]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48864596,"title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide","translated_title":"","metadata":{"doi":"10.1016/j.powtec.2021.04.093","abstract":"An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol\n(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a\ntwo-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as\nwell as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50\n°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was\n26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in\n102 data points.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol\n(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a\ntwo-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as\nwell as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50\n°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was\n26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in\n102 data points.","internal_url":"https://www.academia.edu/48864596/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide","translated_internal_url":"","created_at":"2021-05-10T01:45:33.933-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36518101,"work_id":48864596,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide"}],"downloadable_attachments":[{"id":67277132,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67277132/thumbnails/1.jpg","file_name":"1_s2.0_S003259102100382X_main.pdf","download_url":"https://www.academia.edu/attachments/67277132/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67277132/1_s2.0_S003259102100382X_main-libre.pdf?1620639354=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055887\u0026Signature=Kx3uoV3bfQnb0gO2dQwwmoAqYQ4p2DP-ymXqPnJBy29Om3pFZkw8Mh-M9KAw-vPbJ1xN~GZ0fx8tQkO6PWAc7Stctlt87ox7KZHaybFwMJstDxsaDKzPTlllVxe~tv1MkbN463FITPGEH6eEZvgswOxTFh056jjFjWEOfIKcoKPkY52MM7WY~lwUGe47Y~79q-5L0p2XN24m4dO0Kg5jKra9A7a6knwyCsNadYvftiBs1VOLma6gv5HVmsw4hhnzRmuYaqAt3-5MSX4xx31RwwboE3wFiJS9Q4Yki60NrUPY1etWjWWP8ll8YQThwKmO5POYaGLXfe8kEtEhV5ZHJQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide","translated_slug":"","page_count":7,"language":"en","content_type":"Work","summary":"An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol\n(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a\ntwo-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as\nwell as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50\n°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was\n26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in\n102 data points.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67277132,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67277132/thumbnails/1.jpg","file_name":"1_s2.0_S003259102100382X_main.pdf","download_url":"https://www.academia.edu/attachments/67277132/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67277132/1_s2.0_S003259102100382X_main-libre.pdf?1620639354=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055887\u0026Signature=Kx3uoV3bfQnb0gO2dQwwmoAqYQ4p2DP-ymXqPnJBy29Om3pFZkw8Mh-M9KAw-vPbJ1xN~GZ0fx8tQkO6PWAc7Stctlt87ox7KZHaybFwMJstDxsaDKzPTlllVxe~tv1MkbN463FITPGEH6eEZvgswOxTFh056jjFjWEOfIKcoKPkY52MM7WY~lwUGe47Y~79q-5L0p2XN24m4dO0Kg5jKra9A7a6knwyCsNadYvftiBs1VOLma6gv5HVmsw4hhnzRmuYaqAt3-5MSX4xx31RwwboE3wFiJS9Q4Yki60NrUPY1etWjWWP8ll8YQThwKmO5POYaGLXfe8kEtEhV5ZHJQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48840203"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48840203/Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential"><img alt="Research paper thumbnail of Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential" class="work-thumbnail" src="https://attachments.academia-assets.com/67257887/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48840203/Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential">Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, the molecular dynamics method is implemented to study the temperature and edge effe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the<br />atomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are<br />simulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms<br />are based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack<br />growth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic<br />simulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.<br />Furthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results<br />show that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;<br />so, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.<br />Numerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this<br />structure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="85b5c90a5af7e2160c6034f8f6f55553" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67257887,"asset_id":48840203,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67257887/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48840203"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48840203"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48840203; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48840203]").text(description); $(".js-view-count[data-work-id=48840203]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48840203; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48840203']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48840203, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "85b5c90a5af7e2160c6034f8f6f55553" } } $('.js-work-strip[data-work-id=48840203]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48840203,"title":"Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential","translated_title":"","metadata":{"doi":"10.1016/j.physe.2021.114789","abstract":"In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the\natomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are\nsimulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms\nare based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack\ngrowth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic\nsimulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.\nFurthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results\nshow that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;\nso, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.\nNumerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this\nstructure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the\natomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are\nsimulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms\nare based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack\ngrowth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic\nsimulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.\nFurthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results\nshow that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;\nso, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.\nNumerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this\nstructure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value","internal_url":"https://www.academia.edu/48840203/Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential","translated_internal_url":"","created_at":"2021-05-07T22:09:19.456-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67257887,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67257887/thumbnails/1.jpg","file_name":"1_s2.0_S1386947721001727_main.pdf","download_url":"https://www.academia.edu/attachments/67257887/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mechanical_and_thermal_stability_of_armc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67257887/1_s2.0_S1386947721001727_main-libre.pdf?1620453988=\u0026response-content-disposition=attachment%3B+filename%3DMechanical_and_thermal_stability_of_armc.pdf\u0026Expires=1734055887\u0026Signature=IbS6~QSteWxcUaCEMk2gau-dols1nAFj4VjT-4yr8QX9RXy97KEFQDqS9TBujujV1D8GrDWhvtx5K1DUHQYbHpUSCqo9DJW2su5SrKIUM0bL0olvUoVy3EPA4I-w0H63fhPfq8JkiIlM6UW9nv2vKcSuK65ou3TPogzKD7xuO8zNo4cxKFV-H~jx1Q~~ndzk2qao9FXZzBU1pT6H7eJTPjq4Ne5B-y6DyPswDcBtGpDZAFM7r-UDlaIyzdEoJSQxrjEdfSqqWNHeerXY0ODhbDe9AHqLMr2U0uptOGEuTYEu0nvanUhRnJdsh~aZcw7c20HbbM1I3EuD4FV0l4LVKg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential","translated_slug":"","page_count":8,"language":"en","content_type":"Work","summary":"In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the\natomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are\nsimulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms\nare based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack\ngrowth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic\nsimulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.\nFurthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results\nshow that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;\nso, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.\nNumerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this\nstructure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67257887,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67257887/thumbnails/1.jpg","file_name":"1_s2.0_S1386947721001727_main.pdf","download_url":"https://www.academia.edu/attachments/67257887/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mechanical_and_thermal_stability_of_armc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67257887/1_s2.0_S1386947721001727_main-libre.pdf?1620453988=\u0026response-content-disposition=attachment%3B+filename%3DMechanical_and_thermal_stability_of_armc.pdf\u0026Expires=1734055887\u0026Signature=IbS6~QSteWxcUaCEMk2gau-dols1nAFj4VjT-4yr8QX9RXy97KEFQDqS9TBujujV1D8GrDWhvtx5K1DUHQYbHpUSCqo9DJW2su5SrKIUM0bL0olvUoVy3EPA4I-w0H63fhPfq8JkiIlM6UW9nv2vKcSuK65ou3TPogzKD7xuO8zNo4cxKFV-H~jx1Q~~ndzk2qao9FXZzBU1pT6H7eJTPjq4Ne5B-y6DyPswDcBtGpDZAFM7r-UDlaIyzdEoJSQxrjEdfSqqWNHeerXY0ODhbDe9AHqLMr2U0uptOGEuTYEu0nvanUhRnJdsh~aZcw7c20HbbM1I3EuD4FV0l4LVKg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48823356"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48823356/The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics"><img alt="Research paper thumbnail of The thermal performance of five different viscosity models in the kidney blood vessel with multi-phase mixture of non-Newtonian fluid models using computational fluid dynamics" class="work-thumbnail" src="https://attachments.academia-assets.com/67246935/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48823356/The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics">The thermal performance of five different viscosity models in the kidney blood vessel with multi-phase mixture of non-Newtonian fluid models using computational fluid dynamics</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)<br />and Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite<br />volume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar<br />flow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average<br />wall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model<br />represents a higher heat transfer.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4e80d7116cac9251cc78d2187af94f8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67246935,"asset_id":48823356,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67246935/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48823356"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48823356"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48823356; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48823356]").text(description); $(".js-view-count[data-work-id=48823356]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48823356; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48823356']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48823356, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a4e80d7116cac9251cc78d2187af94f8" } } $('.js-work-strip[data-work-id=48823356]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48823356,"title":"The thermal performance of five different viscosity models in the kidney blood vessel with multi-phase mixture of non-Newtonian fluid models using computational fluid dynamics","translated_title":"","metadata":{"doi":"10.1007/s00419-021-01911-7","abstract":"Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)\nand Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite\nvolume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar\nflow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average\nwall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model\nrepresents a higher heat transfer.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)\nand Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite\nvolume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar\nflow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average\nwall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model\nrepresents a higher heat transfer.","internal_url":"https://www.academia.edu/48823356/The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics","translated_internal_url":"","created_at":"2021-05-07T03:48:07.442-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67246935,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67246935/thumbnails/1.jpg","file_name":"10.1007_s00419_021_01911_7_8ye5.pdf","download_url":"https://www.academia.edu/attachments/67246935/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_thermal_performance_of_five_differen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67246935/10.1007_s00419_021_01911_7_8ye5-libre.pdf?1620384631=\u0026response-content-disposition=attachment%3B+filename%3DThe_thermal_performance_of_five_differen.pdf\u0026Expires=1734055887\u0026Signature=K5X9ZWzS5ch-P8NLevKiWD3psUed3KzpzGAvhuEQR9pJs2uS1jgxhAic9VGyvyYy-I5DENgzSFtcYXTGDMnPuMRiKnyp5IpVVdCEARqxsQZSaUcYrWSCx3Q20tDtfRm27mR794U81N0sfR785hc1XDBzvVFSKJzY71GUKLImIR2ORPIwNb340w0I5tZPB4-ZOFGLXuCekdBcuA9n4AoIntO2vVcnam4wezbBALfG9wb8-Mk-MdRKmK44-JU0geCJHFEasufBOY0a4EiWKLGjNumfJwO6tGDGs9yv6y2gKulbmlE7gDuJxa92OFcXHmOieoMq0mn5G6Wfjz8UY8kX~w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics","translated_slug":"","page_count":9,"language":"en","content_type":"Work","summary":"Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)\nand Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite\nvolume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar\nflow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average\nwall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model\nrepresents a higher heat transfer.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67246935,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67246935/thumbnails/1.jpg","file_name":"10.1007_s00419_021_01911_7_8ye5.pdf","download_url":"https://www.academia.edu/attachments/67246935/download_file?st=MTczNDA2MjYxNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_thermal_performance_of_five_differen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67246935/10.1007_s00419_021_01911_7_8ye5-libre.pdf?1620384631=\u0026response-content-disposition=attachment%3B+filename%3DThe_thermal_performance_of_five_differen.pdf\u0026Expires=1734055887\u0026Signature=K5X9ZWzS5ch-P8NLevKiWD3psUed3KzpzGAvhuEQR9pJs2uS1jgxhAic9VGyvyYy-I5DENgzSFtcYXTGDMnPuMRiKnyp5IpVVdCEARqxsQZSaUcYrWSCx3Q20tDtfRm27mR794U81N0sfR785hc1XDBzvVFSKJzY71GUKLImIR2ORPIwNb340w0I5tZPB4-ZOFGLXuCekdBcuA9n4AoIntO2vVcnam4wezbBALfG9wb8-Mk-MdRKmK44-JU0geCJHFEasufBOY0a4EiWKLGjNumfJwO6tGDGs9yv6y2gKulbmlE7gDuJxa92OFcXHmOieoMq0mn5G6Wfjz8UY8kX~w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="47766923"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/47766923/Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension"><img alt="Research paper thumbnail of Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension" class="work-thumbnail" src="https://attachments.academia-assets.com/66708732/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/47766923/Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension">Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension</a></div><div class="wp-workCard_item"><span>www.sciencedirect.com</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a379c1c45accbb65c1c0bd5888f006d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66708732,"asset_id":47766923,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66708732/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="47766923"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="47766923"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 47766923; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=47766923]").text(description); $(".js-view-count[data-work-id=47766923]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 47766923; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='47766923']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 47766923, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3a379c1c45accbb65c1c0bd5888f006d" } } $('.js-work-strip[data-work-id=47766923]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":47766923,"title":"Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension","translated_title":"","metadata":{"doi":"10.1016/j.matcom.2021.04.011","abstract":"Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"www.sciencedirect.com"},"translated_abstract":"Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.","internal_url":"https://www.academia.edu/47766923/Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension","translated_internal_url":"","created_at":"2021-04-28T04:47:23.842-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36482875,"work_id":47766923,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension"}],"downloadable_attachments":[{"id":66708732,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66708732/thumbnails/1.jpg","file_name":"1_s2.0_S0378475421001294_main.pdf","download_url":"https://www.academia.edu/attachments/66708732/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Computational_hemodynamics_and_thermal_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66708732/1_s2.0_S0378475421001294_main-libre.pdf?1619613024=\u0026response-content-disposition=attachment%3B+filename%3DComputational_hemodynamics_and_thermal_a.pdf\u0026Expires=1734055887\u0026Signature=JdnBDYB9r4EZb1gl3P4v-A0-gy7hn8DgUzVzHXhXb8uPaTI8o3KwwZzPI-sv10E8g8objFRCGXAFxT4FODylYhffoIu2mi~D-c44rqX~-1jF7CKd4qiECAASMizSDftsMg64b4daCnxmmZI2kDt8x6ovgjVY1a2z-~xLJdf0rdnU33qJqKTrNEGXxVibP4Sx8j4ZlmX0ANiDPMQQF4s1M~G~7EeD~y2HNqZxXUN-VIL2DujMnSg6G1BlKcnzOTVxXgd~5TzkinfE84aMZzOV4K6InTirUkAg69BLPYPZ~tZs7cI1ea7b5Rs59jSuyTAImd3KNpOdvwMj1G-lBpM09A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":66708732,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66708732/thumbnails/1.jpg","file_name":"1_s2.0_S0378475421001294_main.pdf","download_url":"https://www.academia.edu/attachments/66708732/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Computational_hemodynamics_and_thermal_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66708732/1_s2.0_S0378475421001294_main-libre.pdf?1619613024=\u0026response-content-disposition=attachment%3B+filename%3DComputational_hemodynamics_and_thermal_a.pdf\u0026Expires=1734055887\u0026Signature=JdnBDYB9r4EZb1gl3P4v-A0-gy7hn8DgUzVzHXhXb8uPaTI8o3KwwZzPI-sv10E8g8objFRCGXAFxT4FODylYhffoIu2mi~D-c44rqX~-1jF7CKd4qiECAASMizSDftsMg64b4daCnxmmZI2kDt8x6ovgjVY1a2z-~xLJdf0rdnU33qJqKTrNEGXxVibP4Sx8j4ZlmX0ANiDPMQQF4s1M~G~7EeD~y2HNqZxXUN-VIL2DujMnSg6G1BlKcnzOTVxXgd~5TzkinfE84aMZzOV4K6InTirUkAg69BLPYPZ~tZs7cI1ea7b5Rs59jSuyTAImd3KNpOdvwMj1G-lBpM09A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":71399,"name":"Hypertension","url":"https://www.academia.edu/Documents/in/Hypertension"},{"id":1251210,"name":"Blood Vessel","url":"https://www.academia.edu/Documents/in/Blood_Vessel"},{"id":1967167,"name":"Systolic array","url":"https://www.academia.edu/Documents/in/Systolic_array"},{"id":2972114,"name":"Diastolic","url":"https://www.academia.edu/Documents/in/Diastolic-1"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="46946145"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46946145/Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field"><img alt="Research paper thumbnail of Investigation of Ferro-nanofluid flow within a porous ribbed microchannel heat sink using single-phase and two-phase approaches in the presence of constant magnetic field" class="work-thumbnail" src="https://attachments.academia-assets.com/66301760/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46946145/Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field">Investigation of Ferro-nanofluid flow within a porous ribbed microchannel heat sink using single-phase and two-phase approaches in the presence of constant magnetic field</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bf3ba79bbf8cc2a86d4c5dd8744f22a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66301760,"asset_id":46946145,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66301760/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46946145"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46946145"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46946145; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46946145]").text(description); $(".js-view-count[data-work-id=46946145]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46946145; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46946145']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46946145, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "bf3ba79bbf8cc2a86d4c5dd8744f22a0" } } $('.js-work-strip[data-work-id=46946145]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46946145,"title":"Investigation of Ferro-nanofluid flow within a porous ribbed microchannel heat sink using single-phase and two-phase approaches in the presence of constant magnetic field","translated_title":"","metadata":{"doi":"10.1016/j.powtec.2021.04.033","abstract":"In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.","internal_url":"https://www.academia.edu/46946145/Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field","translated_internal_url":"","created_at":"2021-04-19T09:05:40.840-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":66301760,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66301760/thumbnails/1.jpg","file_name":"1_s2.0_S0032591021003132_main.pdf","download_url":"https://www.academia.edu/attachments/66301760/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_Ferro_nanofluid_flow_wi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66301760/1_s2.0_S0032591021003132_main-libre.pdf?1618848273=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_Ferro_nanofluid_flow_wi.pdf\u0026Expires=1734055887\u0026Signature=OGkUmCTEbAeFPfZdy6h5nYih8XFCfr0FL~g~ywOQrZrR9KCMmH0KyPl0z-lcKR4~WuOJJwaUTt93v9c3OMDq6XyWGY834CjCWlts2~eH6IGaVuQLSjsqXveyquODzG7ngWNv6UG2zTDHMatGCdxc4Qu3tPkqdDb69~ecv94Rez~iCSjjpbdcemROhQNLyfwikHqhD9W1GdaG6Wn9MQ5UeE7FRAXYcqq0RspGYrAzW9jqL~ZDlwDcVtaQv5Jw-NwyzNPR2UZefrHl1qEv2PSsUM7sa7VECP9JUfUcMpzECFXc~dUouTW6PvxaVEsAjazhg4lV8zUYU0tKtHz0dBNK7w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field","translated_slug":"","page_count":10,"language":"en","content_type":"Work","summary":"In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":66301760,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66301760/thumbnails/1.jpg","file_name":"1_s2.0_S0032591021003132_main.pdf","download_url":"https://www.academia.edu/attachments/66301760/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_Ferro_nanofluid_flow_wi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66301760/1_s2.0_S0032591021003132_main-libre.pdf?1618848273=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_Ferro_nanofluid_flow_wi.pdf\u0026Expires=1734055887\u0026Signature=OGkUmCTEbAeFPfZdy6h5nYih8XFCfr0FL~g~ywOQrZrR9KCMmH0KyPl0z-lcKR4~WuOJJwaUTt93v9c3OMDq6XyWGY834CjCWlts2~eH6IGaVuQLSjsqXveyquODzG7ngWNv6UG2zTDHMatGCdxc4Qu3tPkqdDb69~ecv94Rez~iCSjjpbdcemROhQNLyfwikHqhD9W1GdaG6Wn9MQ5UeE7FRAXYcqq0RspGYrAzW9jqL~ZDlwDcVtaQv5Jw-NwyzNPR2UZefrHl1qEv2PSsUM7sa7VECP9JUfUcMpzECFXc~dUouTW6PvxaVEsAjazhg4lV8zUYU0tKtHz0dBNK7w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="46931979"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46931979/Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation"><img alt="Research paper thumbnail of Investigation on the effect of functionalization of single-walled carbon nanotubes on the mechanical properties of epoxy glass composites: Experimental and molecular dynamics simulation" class="work-thumbnail" src="https://attachments.academia-assets.com/66294720/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46931979/Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation">Investigation on the effect of functionalization of single-walled carbon nanotubes on the mechanical properties of epoxy glass composites: Experimental and molecular dynamics simulation</a></div><div class="wp-workCard_item"><span>www.sciencedirect.com</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In recent decades, polymer composites are widely used in industry due to their good mechanical pr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In recent decades, polymer composites are widely used in industry due to their good mechanical<br />properties and their low specific weight. Also, the use of glass fibers and carbon<br />nanotubes can strengthen and improve the mechanical performance of the polymer due to<br />their good mechanical properties. In this study, incorporated glass/epoxy nanocomposite<br />with carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the<br />effect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH<br />and non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,<br />bending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction<br />(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and<br />morphology of the fibers. The mechanical properties results showed that the highest elastic<br />modulus and tensile strength are obtained for the sample reinforced with F-SWCNT which<br />increased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained<br />results of the bending test indicate that the highest flexural modulus and the highest flexural<br />strength are related to the sample reinforced with functionalized carbon nanotubes which<br />are 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement<br />in the epoxy matrix and the failure mechanismwas monitored using SEM images.<br />Finally, reinforced epoxy nanocomposites with functionalized and non-functionalized<br />SWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement<br />with the trends of experimental results. TheMDobtained results showed that the most<br />appropriate mode of dispersion occurs when functionalized carbon nanotubes are used.<br />Also, it was observed that the elastic modulus of incorporated nanocomposites with F-</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="457695fbcd7e4e301429ed6f8cbd8828" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66294720,"asset_id":46931979,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66294720/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46931979"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46931979"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46931979; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46931979]").text(description); $(".js-view-count[data-work-id=46931979]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46931979; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46931979']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46931979, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "457695fbcd7e4e301429ed6f8cbd8828" } } $('.js-work-strip[data-work-id=46931979]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46931979,"title":"Investigation on the effect of functionalization of single-walled carbon nanotubes on the mechanical properties of epoxy glass composites: Experimental and molecular dynamics simulation","translated_title":"","metadata":{"doi":"10.1016/j.jmrt.2021.03.104","abstract":"In recent decades, polymer composites are widely used in industry due to their good mechanical\nproperties and their low specific weight. Also, the use of glass fibers and carbon\nnanotubes can strengthen and improve the mechanical performance of the polymer due to\ntheir good mechanical properties. In this study, incorporated glass/epoxy nanocomposite\nwith carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the\neffect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH\nand non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,\nbending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction\n(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and\nmorphology of the fibers. The mechanical properties results showed that the highest elastic\nmodulus and tensile strength are obtained for the sample reinforced with F-SWCNT which\nincreased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained\nresults of the bending test indicate that the highest flexural modulus and the highest flexural\nstrength are related to the sample reinforced with functionalized carbon nanotubes which\nare 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement\nin the epoxy matrix and the failure mechanismwas monitored using SEM images.\nFinally, reinforced epoxy nanocomposites with functionalized and non-functionalized\nSWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement\nwith the trends of experimental results. TheMDobtained results showed that the most\nappropriate mode of dispersion occurs when functionalized carbon nanotubes are used.\nAlso, it was observed that the elastic modulus of incorporated nanocomposites with F-","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"www.sciencedirect.com"},"translated_abstract":"In recent decades, polymer composites are widely used in industry due to their good mechanical\nproperties and their low specific weight. Also, the use of glass fibers and carbon\nnanotubes can strengthen and improve the mechanical performance of the polymer due to\ntheir good mechanical properties. In this study, incorporated glass/epoxy nanocomposite\nwith carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the\neffect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH\nand non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,\nbending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction\n(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and\nmorphology of the fibers. The mechanical properties results showed that the highest elastic\nmodulus and tensile strength are obtained for the sample reinforced with F-SWCNT which\nincreased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained\nresults of the bending test indicate that the highest flexural modulus and the highest flexural\nstrength are related to the sample reinforced with functionalized carbon nanotubes which\nare 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement\nin the epoxy matrix and the failure mechanismwas monitored using SEM images.\nFinally, reinforced epoxy nanocomposites with functionalized and non-functionalized\nSWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement\nwith the trends of experimental results. TheMDobtained results showed that the most\nappropriate mode of dispersion occurs when functionalized carbon nanotubes are used.\nAlso, it was observed that the elastic modulus of incorporated nanocomposites with F-","internal_url":"https://www.academia.edu/46931979/Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation","translated_internal_url":"","created_at":"2021-04-18T10:50:45.401-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":66294720,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66294720/thumbnails/1.jpg","file_name":"1_s2.0_S2238785421003318_main.pdf","download_url":"https://www.academia.edu/attachments/66294720/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_on_the_effect_of_functiona.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66294720/1_s2.0_S2238785421003318_main-libre.pdf?1618770613=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_on_the_effect_of_functiona.pdf\u0026Expires=1734055887\u0026Signature=N9EfiExHx2HqCVKiKnB4pdWrlcWiJJNDDoz7o8TS0A22rSaerM~Pf5Xj3ILsZyH9NLBsLbBNmqr14tqCzcY7wOBnriNGHuvdZVriZ~VYMlLRTz6sqSgA~QxRxvwnq1r-yEEpetJL4qhS94VLhCoEBLN~P-dohi1krFbDRYPVT1FiEVTfII72OSgaRdyeg5gQMi2Rcja7mD67MMj8Ikdxu1sqBiTbRKOuEDi-KvObfU9fHQPvQOa3IUS7QGVCQQdJkG-0pktihoXYI0PyBIYGOrZHaZBMYAA3IWWMvM4Rq8YSbilDFLs1PLU8gfGg6Kh0CA1bAIjSu85KRUrMeimBRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"In recent decades, polymer composites are widely used in industry due to their good mechanical\nproperties and their low specific weight. Also, the use of glass fibers and carbon\nnanotubes can strengthen and improve the mechanical performance of the polymer due to\ntheir good mechanical properties. In this study, incorporated glass/epoxy nanocomposite\nwith carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the\neffect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH\nand non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,\nbending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction\n(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and\nmorphology of the fibers. The mechanical properties results showed that the highest elastic\nmodulus and tensile strength are obtained for the sample reinforced with F-SWCNT which\nincreased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained\nresults of the bending test indicate that the highest flexural modulus and the highest flexural\nstrength are related to the sample reinforced with functionalized carbon nanotubes which\nare 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement\nin the epoxy matrix and the failure mechanismwas monitored using SEM images.\nFinally, reinforced epoxy nanocomposites with functionalized and non-functionalized\nSWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement\nwith the trends of experimental results. TheMDobtained results showed that the most\nappropriate mode of dispersion occurs when functionalized carbon nanotubes are used.\nAlso, it was observed that the elastic modulus of incorporated nanocomposites with F-","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":66294720,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66294720/thumbnails/1.jpg","file_name":"1_s2.0_S2238785421003318_main.pdf","download_url":"https://www.academia.edu/attachments/66294720/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_on_the_effect_of_functiona.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66294720/1_s2.0_S2238785421003318_main-libre.pdf?1618770613=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_on_the_effect_of_functiona.pdf\u0026Expires=1734055887\u0026Signature=N9EfiExHx2HqCVKiKnB4pdWrlcWiJJNDDoz7o8TS0A22rSaerM~Pf5Xj3ILsZyH9NLBsLbBNmqr14tqCzcY7wOBnriNGHuvdZVriZ~VYMlLRTz6sqSgA~QxRxvwnq1r-yEEpetJL4qhS94VLhCoEBLN~P-dohi1krFbDRYPVT1FiEVTfII72OSgaRdyeg5gQMi2Rcja7mD67MMj8Ikdxu1sqBiTbRKOuEDi-KvObfU9fHQPvQOa3IUS7QGVCQQdJkG-0pktihoXYI0PyBIYGOrZHaZBMYAA3IWWMvM4Rq8YSbilDFLs1PLU8gfGg6Kh0CA1bAIjSu85KRUrMeimBRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="762735" id="papers"><div class="js-work-strip profile--work_container" data-work-id="50729150"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50729150/Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis"><img alt="Research paper thumbnail of Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/68601137/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50729150/Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis">Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a940fafa2c540b3396daf5dbef156970" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68601137,"asset_id":50729150,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68601137/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50729150"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50729150"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50729150; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50729150]").text(description); $(".js-view-count[data-work-id=50729150]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50729150; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50729150']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50729150, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a940fafa2c540b3396daf5dbef156970" } } $('.js-work-strip[data-work-id=50729150]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50729150,"title":"Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis","translated_title":"","metadata":{"doi":"10.1007/s10973-020-09808-3","abstract":"In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.","internal_url":"https://www.academia.edu/50729150/Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis","translated_internal_url":"","created_at":"2021-08-04T10:44:23.124-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36757727,"work_id":50729150,"tagging_user_id":5734988,"tagged_user_id":146717830,"co_author_invite_id":null,"email":"m***i@qaemiau.ac.ir","display_order":1,"name":"Mehdi Miansari","title":"Optimizing the hydrothermal performance of helically corrugated coiled tube heat exchangers using Taguchi's empirical method: energy and exergy analysis"}],"downloadable_attachments":[{"id":68601137,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68601137/thumbnails/1.jpg","file_name":"Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_.pdf","download_url":"https://www.academia.edu/attachments/68601137/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Optimizing_the_hydrothermal_performance.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68601137/Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_-libre.pdf?1628100063=\u0026response-content-disposition=attachment%3B+filename%3DOptimizing_the_hydrothermal_performance.pdf\u0026Expires=1734055886\u0026Signature=L-R6VWDZM7Ch4etZ6vIIUG35XRNjgNay9u6FgYD1~-TvrGg2XNah5HTwQHOH~MDtPadLVInj22UMp5z4mGdBGj4X-~vOmoa7fqSm5IR2-eRI9-smwAQplvFUy9CFpxZtmIyNSf-H~qhwcIWlBCYhQ08lCIo0eX7hiEt6Oe9JTDZEduvqDIBvLAqmzRJKsCSp4cdIqi589eJcXQ2Ona5nX0LDki4MpLom4YO0lXzqbLqd~Jm5d5l2BaC8up9H4yY4VXM2MM9KvIqHyIf1CCbakKIlFF4rTJs40F4S-1ka5yluPdAqalujf0Z07aUzwMjb2d4-YZFECEplg-ZJ7Ri7Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Optimizing_the_hydrothermal_performance_of_helically_corrugated_coiled_tube_heat_exchangers_using_Taguchis_empirical_method_energy_and_exergy_analysis","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"In this work, a three-dimensional study of shell and helically corrugated coiled tube heat exchanger with considering exergy loss is investigated. Various design parameters and operating conditions such as corrugation depth (e), corrugation pitch (p) or the number of rounds, inlet fluid flow rate on the coil and shell sides are numerically investigated to examine the heat exchanger hydrothermal performance. Taguchi analysis is used to analyze the hydrothermal parameters by considering the interaction effects of them. The obtained results showed that increasing the inlet fluid flow rate on the coil side, corrugation depth and the number of rounds increases both heat transfer and pressure drop. It is also found that the most effective parameter on the thermal performance of the heat exchanger is the fluid flow rate on the coil side, followed by the corrugation depth and the most effective parameter on the hydrodynamic performance of the heat exchanger is fluid flow rate on the coil side, followed by corrugation pitch and corrugation depth. Based on the exergy analysis in the heat exchanger, using a helically corrugated coiled tube instead of the helically plain coiled tube in the heat exchanger for the cases of low Reynolds numbers has higher effectiveness.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68601137,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68601137/thumbnails/1.jpg","file_name":"Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_.pdf","download_url":"https://www.academia.edu/attachments/68601137/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Optimizing_the_hydrothermal_performance.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68601137/Heydari2021_Article_OptimizingTheHydrothermalPerfo_1_-libre.pdf?1628100063=\u0026response-content-disposition=attachment%3B+filename%3DOptimizing_the_hydrothermal_performance.pdf\u0026Expires=1734055886\u0026Signature=L-R6VWDZM7Ch4etZ6vIIUG35XRNjgNay9u6FgYD1~-TvrGg2XNah5HTwQHOH~MDtPadLVInj22UMp5z4mGdBGj4X-~vOmoa7fqSm5IR2-eRI9-smwAQplvFUy9CFpxZtmIyNSf-H~qhwcIWlBCYhQ08lCIo0eX7hiEt6Oe9JTDZEduvqDIBvLAqmzRJKsCSp4cdIqi589eJcXQ2Ona5nX0LDki4MpLom4YO0lXzqbLqd~Jm5d5l2BaC8up9H4yY4VXM2MM9KvIqHyIf1CCbakKIlFF4rTJs40F4S-1ka5yluPdAqalujf0Z07aUzwMjb2d4-YZFECEplg-ZJ7Ri7Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":91848,"name":"Shell and tube heat exchanger design","url":"https://www.academia.edu/Documents/in/Shell_and_tube_heat_exchanger_design"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50291531"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50291531/Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition"><img alt="Research paper thumbnail of Molecular dynamics simulation of argon flow in large scale within different microchannels under phase change condition" class="work-thumbnail" src="https://attachments.academia-assets.com/68332189/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50291531/Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition">Molecular dynamics simulation of argon flow in large scale within different microchannels under phase change condition</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this research, the molecular dynamics simulation method is employed to simulate the boiling fl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fa817bae67b5d60ea2be1e5faca8684f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68332189,"asset_id":50291531,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68332189/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50291531"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50291531"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50291531; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50291531]").text(description); $(".js-view-count[data-work-id=50291531]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50291531; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50291531']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50291531, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fa817bae67b5d60ea2be1e5faca8684f" } } $('.js-work-strip[data-work-id=50291531]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50291531,"title":"Molecular dynamics simulation of argon flow in large scale within different microchannels under phase change condition","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105337","abstract":"In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.","internal_url":"https://www.academia.edu/50291531/Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition","translated_internal_url":"","created_at":"2021-07-27T00:31:07.523-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":68332189,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68332189/thumbnails/1.jpg","file_name":"1_s2.0_S073519332100230X_main.pdf","download_url":"https://www.academia.edu/attachments/68332189/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_dynamics_simulation_of_argon_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68332189/1_s2.0_S073519332100230X_main-libre.pdf?1627384122=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_dynamics_simulation_of_argon_f.pdf\u0026Expires=1734055886\u0026Signature=I3W3xV1v9DhoG6NUnZ8kp~4cab4UdckpHn79xuJM7BjabP39upv7Pe7J3opODwvrT-oIU7aiP9vVg6Ls2TGiCht~8DE99ljV73QtEU1161W-Pf35VXN6LhSxbnQ0vlxOIBJK8SqOzCmJuOyhG-Qwv2ry~15IhCTDfqg5K0SjnD~dB-qakPShr4qGxWpUOT5tH9dfxlqbebdlUz4sjBDKer~T8otlK2dwTIAv5ruEQkEWM5h6RXHQaHPXg8bvu14pVCFCMI6Hr9Okiuoc6gKMp2HFvcim4JFwaJDc9VIX5EJ8tS0m9nbcF0cbhQTKJj~GKkhY-~elEqrAFvxQQHtXHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Molecular_dynamics_simulation_of_argon_flow_in_large_scale_within_different_microchannels_under_phase_change_condition","translated_slug":"","page_count":5,"language":"en","content_type":"Work","summary":"In this research, the molecular dynamics simulation method is employed to simulate the boiling flow of argon flow inside the microchannels with different surfaces of ideal and roughened with cone barriers, cubic barriers, and spherical barriers respectively. For all simulations, boundary walls of all microchannels are set at a temperature of 98 K to prepare the required thermal energy for boiling argon fluid flow within channels. Also, to enforce argon fluid to flow along the mentioned microchannels, a unique external driving force is prepared at the entry region of all microchannels. Afterward, the evolution of boiling flow is reported in four-time steps of 250,000, 500,000, 750,000, and 1,000,000, respectively. Then, velocity and temperature profiles of argon flow are reported after completion of the boiling process at 1000000-time steps. Investigations in the progress of boiling flow until 7,500,000-time steps show different behavior between rough microchannel with cubic barriers and behaviors of fluid flow within other channels in the distribution of argon particles in middle regions of channels. But, it is reported that with completion of the boiling process at 1000000-time steps, consequences of cubic geometry of barriers on the normal distribution of fluid atoms in a different region of the microchannel are removed. Also, it is reported that differences between maximums and minimums of flow temperatures are around 150 K for ideal channel and rough channels with cone and spherical barriers, while it is about 300 K for the rough channel with cubic barriers. Moreover, the temperature of argon flow in the center of the channel with cubic barriers can be reached even to 410 K which needs to be controlled by polishing the internal surfaces in some of the practical applications such as microprobes in medical cryosurgeries.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68332189,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68332189/thumbnails/1.jpg","file_name":"1_s2.0_S073519332100230X_main.pdf","download_url":"https://www.academia.edu/attachments/68332189/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Molecular_dynamics_simulation_of_argon_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68332189/1_s2.0_S073519332100230X_main-libre.pdf?1627384122=\u0026response-content-disposition=attachment%3B+filename%3DMolecular_dynamics_simulation_of_argon_f.pdf\u0026Expires=1734055886\u0026Signature=I3W3xV1v9DhoG6NUnZ8kp~4cab4UdckpHn79xuJM7BjabP39upv7Pe7J3opODwvrT-oIU7aiP9vVg6Ls2TGiCht~8DE99ljV73QtEU1161W-Pf35VXN6LhSxbnQ0vlxOIBJK8SqOzCmJuOyhG-Qwv2ry~15IhCTDfqg5K0SjnD~dB-qakPShr4qGxWpUOT5tH9dfxlqbebdlUz4sjBDKer~T8otlK2dwTIAv5ruEQkEWM5h6RXHQaHPXg8bvu14pVCFCMI6Hr9Okiuoc6gKMp2HFvcim4JFwaJDc9VIX5EJ8tS0m9nbcF0cbhQTKJj~GKkhY-~elEqrAFvxQQHtXHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="50202865"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/50202865/MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms"><img alt="Research paper thumbnail of MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms" class="work-thumbnail" src="https://attachments.academia-assets.com/68276374/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/50202865/MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms">MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0c158c5caa560f0e2193420726c95b3e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68276374,"asset_id":50202865,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68276374/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="50202865"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="50202865"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50202865; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50202865]").text(description); $(".js-view-count[data-work-id=50202865]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50202865; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50202865']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50202865, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0c158c5caa560f0e2193420726c95b3e" } } $('.js-work-strip[data-work-id=50202865]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50202865,"title":"MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms","translated_title":"","metadata":{"doi":"10.1016/j.ijthermalsci.2021.107179","abstract":"Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.","internal_url":"https://www.academia.edu/50202865/MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms","translated_internal_url":"","created_at":"2021-07-23T12:45:55.001-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36728168,"work_id":50202865,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"MHD nanofluid free convection inside the wavy triangular cavity considering periodic temperature boundary condition and velocity slip mechanisms"}],"downloadable_attachments":[{"id":68276374,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68276374/thumbnails/1.jpg","file_name":"1_s2.0_S1290072921003409_main.pdf","download_url":"https://www.academia.edu/attachments/68276374/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MHD_nanofluid_free_convection_inside_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68276374/1_s2.0_S1290072921003409_main-libre.pdf?1627072853=\u0026response-content-disposition=attachment%3B+filename%3DMHD_nanofluid_free_convection_inside_the.pdf\u0026Expires=1734055886\u0026Signature=K~BSfgxcrY~Orb03V94V8gxPsbwU4xcWBKg~x3MBIoeJvzg7akg9ZoO98M~u9~r96IUx5YzcRLxmbYlro1Cun8H9~19mO5uPtZP8ux36cqoA1AxbvYwd9V3NQTqTyxES65FzXRjAI9-qfh6fkeMaMHK8QbOIlBGR5cXibdXOfGMXKI9kdvn8J-9y9xgf3~TPwNDWwGQNWcLyOOCzJGrVsWpDYcT~VorYwRSqm~t1TpIVL26SN0Ob--wlShfZbtbZbz9NjlHj9NTe7Z9LwNCAZFIee1AhVroDkKk85daTalWcry0fAhszxbgEXyeVUhNovTRoKOF4G3k6ccffqP71ww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"MHD_nanofluid_free_convection_inside_the_wavy_triangular_cavity_considering_periodic_temperature_boundary_condition_and_velocity_slip_mechanisms","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68276374,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68276374/thumbnails/1.jpg","file_name":"1_s2.0_S1290072921003409_main.pdf","download_url":"https://www.academia.edu/attachments/68276374/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MHD_nanofluid_free_convection_inside_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68276374/1_s2.0_S1290072921003409_main-libre.pdf?1627072853=\u0026response-content-disposition=attachment%3B+filename%3DMHD_nanofluid_free_convection_inside_the.pdf\u0026Expires=1734055886\u0026Signature=K~BSfgxcrY~Orb03V94V8gxPsbwU4xcWBKg~x3MBIoeJvzg7akg9ZoO98M~u9~r96IUx5YzcRLxmbYlro1Cun8H9~19mO5uPtZP8ux36cqoA1AxbvYwd9V3NQTqTyxES65FzXRjAI9-qfh6fkeMaMHK8QbOIlBGR5cXibdXOfGMXKI9kdvn8J-9y9xgf3~TPwNDWwGQNWcLyOOCzJGrVsWpDYcT~VorYwRSqm~t1TpIVL26SN0Ob--wlShfZbtbZbz9NjlHj9NTe7Z9LwNCAZFIee1AhVroDkKk85daTalWcry0fAhszxbgEXyeVUhNovTRoKOF4G3k6ccffqP71ww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49983450"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49983450/CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model"><img alt="Research paper thumbnail of CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model" class="work-thumbnail" src="https://attachments.academia-assets.com/68138229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49983450/CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model">CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model</a></div><div class="wp-workCard_item"><span>elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d1ac2490fcf3a9e5a3495985e439aa2f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68138229,"asset_id":49983450,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68138229/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49983450"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49983450"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49983450; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49983450]").text(description); $(".js-view-count[data-work-id=49983450]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49983450; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49983450']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49983450, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d1ac2490fcf3a9e5a3495985e439aa2f" } } $('.js-work-strip[data-work-id=49983450]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49983450,"title":"CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105446","abstract":"In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"elsevier"},"translated_abstract":"In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.","internal_url":"https://www.academia.edu/49983450/CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model","translated_internal_url":"","created_at":"2021-07-16T07:47:25.420-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36707910,"work_id":49983450,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":7270141,"email":"p***n@iaukhsh.ac.ir","display_order":1,"name":"Pouya Barnoon","title":"CFD simulation of time-dependent oxygen production in a manifold electrolyzer using a two-phase model"}],"downloadable_attachments":[{"id":68138229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68138229/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003390_main.pdf","download_url":"https://www.academia.edu/attachments/68138229/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CFD_simulation_of_time_dependent_oxygen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68138229/1_s2.0_S0735193321003390_main-libre.pdf?1626461817=\u0026response-content-disposition=attachment%3B+filename%3DCFD_simulation_of_time_dependent_oxygen.pdf\u0026Expires=1734055886\u0026Signature=UGkclMUqgbUrmLwg5f6IZ6pCgio6hBgBP4jASi~Z-KDA1kskg~nB2ZncHBm3ph2mMeh7o69qqnv3OwVNLQVaqnRznJLzrUWdSiFJhFMI2G8Vy~YMk6hkNgm4NP0pQ1f~UlsGoHSoPrCARhtyBV-gqjjdQ~yrSkfl85JaJuTSkrj0Qh5zt6umLXtZinGGKL4L6LI0hHf9IwCcx45ZAQraxEd5qPUoGBqAe4O5h2gjq0LIZz~q38eJ7pNyTVt0Osu5YSA8IdN4xcMSOGlysospmLmNcT3f096VatlbdE6hdjTwJpdAIK5DJ7koeSScPMoXqhsPoukRo1zMOXN1t1raFA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CFD_simulation_of_time_dependent_oxygen_production_in_a_manifold_electrolyzer_using_a_two_phase_model","translated_slug":"","page_count":9,"language":"en","content_type":"Work","summary":"In a polymer electrolyte membrane electrolyzer cell (PEMEC), the two electrode compartments are separated by a polymer membrane. Liquid water is fed to the anode side, forming oxygen gas on the anode, and hydrogen gas on the cathode side, respectively. The respective designs of the flow field patterns are important to obtain a uniform distribution of flow, in combination with low-pressure drops, during operation. In this study, oxygen production in a manifold electrolyzer is investigated using the Computational Fluid Dynamics (CFD) method. The flow is considered unsteady, three-dimensional, and two-phase. A mixture model is applied to simulate the water consumption and oxygen production. The anode side is analyzed and after the reaction, gas bubbles are produced inside the lower surface of the electrode. The simulation is performed for 5 s. The results show that from the moment of start to 2 s is an important time for the formation of pressure and velocity balance inside the manifolds. In 0.75 s, the oxygen reaches its highest concentration and, due to its physical nature, begins to move from low to high levels in the manifold. Increasing the rate of oxygen production and reducing the pressure drop in the system can be controlled by the number of different channels.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68138229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68138229/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003390_main.pdf","download_url":"https://www.academia.edu/attachments/68138229/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CFD_simulation_of_time_dependent_oxygen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68138229/1_s2.0_S0735193321003390_main-libre.pdf?1626461817=\u0026response-content-disposition=attachment%3B+filename%3DCFD_simulation_of_time_dependent_oxygen.pdf\u0026Expires=1734055886\u0026Signature=UGkclMUqgbUrmLwg5f6IZ6pCgio6hBgBP4jASi~Z-KDA1kskg~nB2ZncHBm3ph2mMeh7o69qqnv3OwVNLQVaqnRznJLzrUWdSiFJhFMI2G8Vy~YMk6hkNgm4NP0pQ1f~UlsGoHSoPrCARhtyBV-gqjjdQ~yrSkfl85JaJuTSkrj0Qh5zt6umLXtZinGGKL4L6LI0hHf9IwCcx45ZAQraxEd5qPUoGBqAe4O5h2gjq0LIZz~q38eJ7pNyTVt0Osu5YSA8IdN4xcMSOGlysospmLmNcT3f096VatlbdE6hdjTwJpdAIK5DJ7koeSScPMoXqhsPoukRo1zMOXN1t1raFA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49983019"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49983019/Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM"><img alt="Research paper thumbnail of Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM" class="work-thumbnail" src="https://attachments.academia-assets.com/68137978/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49983019/Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM">Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="361a2ba6625cc76b83397b0a04999eb5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":68137978,"asset_id":49983019,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/68137978/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49983019"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49983019"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49983019; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49983019]").text(description); $(".js-view-count[data-work-id=49983019]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49983019; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49983019']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49983019, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "361a2ba6625cc76b83397b0a04999eb5" } } $('.js-work-strip[data-work-id=49983019]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49983019,"title":"Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105428","abstract":"In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.","internal_url":"https://www.academia.edu/49983019/Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM","translated_internal_url":"","created_at":"2021-07-16T07:32:33.676-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36707780,"work_id":49983019,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":7270119,"email":"x***z@sina.com","display_order":1,"name":"Xinying Zhang","title":"Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM"},{"id":36707781,"work_id":49983019,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":2,"name":"Davood Toghraie","title":"Numerical study of mixed convection of nanofluid inside an inlet/outlet inclined cavity under the effect of Brownian motion using Lattice Boltzmann Method (LBM"}],"downloadable_attachments":[{"id":68137978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68137978/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003213_main.pdf","download_url":"https://www.academia.edu/attachments/68137978/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_study_of_mixed_convection_of_n.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68137978/1_s2.0_S0735193321003213_main-libre.pdf?1626446417=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_study_of_mixed_convection_of_n.pdf\u0026Expires=1734055886\u0026Signature=EKKe3SrW3xcKNXcmaj3XsK8NLsY78nj7K7prNudfT31Va6QRYDdwPJNeezgeKgwvxxkj3k0jAifMYEOI7cw6ERfUWXuZ6ZHLLa3bY~tMnxxsSvZFMZqnpNpXHsEhOyopH7xwLzBr9G0GMClTnxUPOLqRKAyXC1m~aBlqIZUsWnvBd9-y3VgiXq5p6GbYcb5NjDHs1uf1pd3s4VvNLeuax-kQetCV1A4d0aPdxn3hHxdx5MjUwiRLaXMecp0QVgvutOugtJc-aBuYVaMYAdy4uw0aacZvK7Xz8P8WCICd3pGlYxQ-Y00~88OmRr4JEMt4etPFKzkDrtOHp4viUiKkcg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_study_of_mixed_convection_of_nanofluid_inside_an_inlet_outlet_inclined_cavity_under_the_effect_of_Brownian_motion_using_Lattice_Boltzmann_Method_LBM","translated_slug":"","page_count":14,"language":"en","content_type":"Work","summary":"In the present numerical study, the mixed convection of Cu-water and CuO-water nanofluids is modeled inside an inclined square-shaped cavity by utilizing the thermal model of the Lattice Boltzmann Method (LBM). A cold fluid flow enters into the cavity at the upper side of the left wall and, after being heated by the hot obstacle, exits from the lowest right side of the cavity The effective thermal conductivity and viscosity of nanofluids are computed by the KKL (Koo-Kleinstreuer-Li) equation. The results are presented in the constant Rayleigh number of 104 and the Richardson numbers of 0.1,1 and 10. Obtained results reveal that by incrementing Ri because of the augmentation of inlet fluid velocity from the left side, the gradient of isothermal lines decreases, and temperature distribution becomes more uniform, leading to Nusselt number reduction on hot wall. Although the Nu avg enhances considerably in Ri of 0.1, in Ri = 1 and 10, there is no sensible change. In the angle of 0o, by augmenting Ri, Nu avg decreases, but in the angle of 60o, by increasing Ri from 0.1 to 1, Nu avg increments up to 22%. This augmentation is due to the change of angle of the collision of flow with the hot obstacle. Furthermore, when the hot obstacle is located in the flow path, heat transfer improves. Application of such studies shows its importance in the design of electronic components cooling systems, solar energy storage, heat exchangers, and lubrication systems.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":68137978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68137978/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321003213_main.pdf","download_url":"https://www.academia.edu/attachments/68137978/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_study_of_mixed_convection_of_n.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68137978/1_s2.0_S0735193321003213_main-libre.pdf?1626446417=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_study_of_mixed_convection_of_n.pdf\u0026Expires=1734055886\u0026Signature=EKKe3SrW3xcKNXcmaj3XsK8NLsY78nj7K7prNudfT31Va6QRYDdwPJNeezgeKgwvxxkj3k0jAifMYEOI7cw6ERfUWXuZ6ZHLLa3bY~tMnxxsSvZFMZqnpNpXHsEhOyopH7xwLzBr9G0GMClTnxUPOLqRKAyXC1m~aBlqIZUsWnvBd9-y3VgiXq5p6GbYcb5NjDHs1uf1pd3s4VvNLeuax-kQetCV1A4d0aPdxn3hHxdx5MjUwiRLaXMecp0QVgvutOugtJc-aBuYVaMYAdy4uw0aacZvK7Xz8P8WCICd3pGlYxQ-Y00~88OmRr4JEMt4etPFKzkDrtOHp4viUiKkcg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49340912"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49340912/Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies"><img alt="Research paper thumbnail of Thermo-hydraulic investigation of Al 2 O 3 /water nanofluid flow in an oval tube fitted with dual conical twisted-tape inserts: parametric studies" class="work-thumbnail" src="https://attachments.academia-assets.com/67714800/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49340912/Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies">Thermo-hydraulic investigation of Al 2 O 3 /water nanofluid flow in an oval tube fitted with dual conical twisted-tape inserts: parametric studies</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c5aa983743b43d69aca820ea46c55ba0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67714800,"asset_id":49340912,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67714800/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49340912"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49340912"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49340912; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49340912]").text(description); $(".js-view-count[data-work-id=49340912]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49340912; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49340912']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49340912, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c5aa983743b43d69aca820ea46c55ba0" } } $('.js-work-strip[data-work-id=49340912]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49340912,"title":"Thermo-hydraulic investigation of Al 2 O 3 /water nanofluid flow in an oval tube fitted with dual conical twisted-tape inserts: parametric studies","translated_title":"","metadata":{"doi":"10.1140/epjp/s13360-021-01664-w","abstract":"This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.","internal_url":"https://www.academia.edu/49340912/Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies","translated_internal_url":"","created_at":"2021-06-22T10:13:24.886-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67714800,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67714800/thumbnails/1.jpg","file_name":"10.1140_epjp_s13360_021_01664_w_g9mb.pdf","download_url":"https://www.academia.edu/attachments/67714800/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Thermo_hydraulic_investigation_of_Al_2_O.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67714800/10.1140_epjp_s13360_021_01664_w_g9mb-libre.pdf?1624382597=\u0026response-content-disposition=attachment%3B+filename%3DThermo_hydraulic_investigation_of_Al_2_O.pdf\u0026Expires=1734055886\u0026Signature=C6PFcXbe8fHDE9lSrv3qUNrvrdbjpJZDG4TiloYRNA15ZT~NMPTId~o5rt9rvxhDPTgKhoCJoyY~4zX6ZXN2031J1pH48DtQU49psGYGExdlFhgbM-v0~GBFMqVInkTrWjPqf3Wm-tw7LdPhTI7T1PrS6dDy3ejB8TzhVL9uWVhDelvfvX3BmsJkptDwh71gjfOblA9rCKowS5CbRWLKMJo4ehyUqqDqw-3UQ9v-pb5voSk9E9knkytbs7Ov75y~1-ukyWgIC8o~LtKlW7Cay0Eyq4jngjDghBBASXlbr-9n9dJITDTai4RGNZWTTaS59JkA5MxwhMmgkTpFHm5I8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Thermo_hydraulic_investigation_of_Al_2_O_3_water_nanofluid_flow_in_an_oval_tube_fitted_with_dual_conical_twisted_tape_inserts_parametric_studies","translated_slug":"","page_count":17,"language":"en","content_type":"Work","summary":"This work presents the thermo-hydraulic performance of water-Al 2 O 3 nanofluid flow in an oval tube fitted with two parallel conical twisted strips in different alignments including staggered with four wings (S-4), staggered with five wings (S-5), non-staggered with 4 wings (NS-4), and non-staggered with five wings (NS-5). A detailed parametric study is carried out to evaluate the impact of different arrangements of conical strip insert, Reynolds number, and volume fraction of nanoparticles (φ) on the heat transfer and pressure drop of the oval tube. It is found out that the highest Nusselt number is obtained in the case of NS-5 at Re 250 and φ 3-86.9% higher than that of the plain tube. To investigate the effectiveness of conical twisted strips in terms of heat transfer enhancement, the intensity of the secondary flow generated by two parallel conical strips is represented by the vorticity isosurfaces. The NS-5 configuration generates stronger secondary flow at the vicinity of the heated wall. The increase in Nusselt number comes at the expense of a much higher friction factor relative to other configurations. Performance evaluation criterion (PEC) is calculated to identify a configuration with higher heat transfer performance at the lowest friction factor. The maximum PEC of 1.52 is obtained in the case of S-5 at Re 250 and φ 3%.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67714800,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67714800/thumbnails/1.jpg","file_name":"10.1140_epjp_s13360_021_01664_w_g9mb.pdf","download_url":"https://www.academia.edu/attachments/67714800/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Thermo_hydraulic_investigation_of_Al_2_O.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67714800/10.1140_epjp_s13360_021_01664_w_g9mb-libre.pdf?1624382597=\u0026response-content-disposition=attachment%3B+filename%3DThermo_hydraulic_investigation_of_Al_2_O.pdf\u0026Expires=1734055886\u0026Signature=C6PFcXbe8fHDE9lSrv3qUNrvrdbjpJZDG4TiloYRNA15ZT~NMPTId~o5rt9rvxhDPTgKhoCJoyY~4zX6ZXN2031J1pH48DtQU49psGYGExdlFhgbM-v0~GBFMqVInkTrWjPqf3Wm-tw7LdPhTI7T1PrS6dDy3ejB8TzhVL9uWVhDelvfvX3BmsJkptDwh71gjfOblA9rCKowS5CbRWLKMJo4ehyUqqDqw-3UQ9v-pb5voSk9E9knkytbs7Ov75y~1-ukyWgIC8o~LtKlW7Cay0Eyq4jngjDghBBASXlbr-9n9dJITDTai4RGNZWTTaS59JkA5MxwhMmgkTpFHm5I8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49303133"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49303133/Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique"><img alt="Research paper thumbnail of Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique" class="work-thumbnail" src="https://attachments.academia-assets.com/67684126/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49303133/Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique">Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">One of the methods of repairing the damaged bone is the fabrication of porous scaffold using syne...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07a578d5ed6044878bb30fa915cf0f5f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67684126,"asset_id":49303133,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67684126/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49303133"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49303133"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49303133; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49303133]").text(description); $(".js-view-count[data-work-id=49303133]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49303133; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49303133']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49303133, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "07a578d5ed6044878bb30fa915cf0f5f" } } $('.js-work-strip[data-work-id=49303133]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49303133,"title":"Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique","translated_title":"","metadata":{"doi":"10.1016/j.jmbbm.2021.104643","abstract":"One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.","internal_url":"https://www.academia.edu/49303133/Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique","translated_internal_url":"","created_at":"2021-06-20T03:28:32.642-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36633999,"work_id":49303133,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":1172988,"email":"m***i@med.mui.ac.ir","display_order":1,"name":"Mohammad Dehghani","title":"Investigation of the mechanical properties of a bony scaffold for comminuted distal radial fractures: Addition of akermanite nanoparticles and using a freeze-drying technique"}],"downloadable_attachments":[{"id":67684126,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67684126/thumbnails/1.jpg","file_name":"1_s2.0_S1751616121003210_main.pdf","download_url":"https://www.academia.edu/attachments/67684126/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_the_mechanical_properti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67684126/1_s2.0_S1751616121003210_main-libre.pdf?1624188607=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_the_mechanical_properti.pdf\u0026Expires=1734055886\u0026Signature=RCEDTymN-9xYVfF-mwgKG9sZ0r8OXdfMa-Uhabv~20yDHoSC1~lbgcfT28O1APlCStrone5YhihplQrvcM5qZH2-~-8TSGmNFp3ll56ixPeNiUW2j8CFzlGYStsjCxpFbYI4hvztAGTKKk3u3RwP7WsBJk1YPvu31XLseTJZxsw0Ym~yLe2oFuWXgsWNlUT0iyefhcBQOdI9zWpRtgeCXNRCGTrXGpGbtEVCR8fw8Axd4Worpn0htJbRoDItKN64fjVrq2jj7-fDfiobswyVdLcO0YYsONyYCcRQIBbu3RidMrNgmg26QDPJCdIJqes04HHHBkIAGM5FhhSAwBN8eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Investigation_of_the_mechanical_properties_of_a_bony_scaffold_for_comminuted_distal_radial_fractures_Addition_of_akermanite_nanoparticles_and_using_a_freeze_drying_technique","translated_slug":"","page_count":9,"language":"en","content_type":"Work","summary":"One of the methods of repairing the damaged bone is the fabrication of porous scaffold using synergic methods like three-dimensional (3D) printing and freeze-drying technology. These techniques improve the damaged and fracture parts rapidly for better healing bone lesions using bioactive ceramic and polymer. This research, due to the need to increase the mechanical strength of 3D bone scaffolds for better mechanical performance. Akermanite bioceramic as a bioactive and calcium silicate bioceramic has been used besides the polymeric component. In this study, the porous scaffolds were designed using solid work with an appropriate porosity with a Gyroid shape. The prepared Gyroid scaffold was printed using a 3D printing machine with Electroconductive Polylactic Acid (EC-PLA) and then coated with a polymeric solution containing various amounts of akermanite bioceramic as reinforcement. The mechanical and biological properties were investigated according to the standard test. The mechanical properties of the porous-coated scaffold showed stress tolerance up to 30 MPa. The maximum strain obtained was 0.0008, the maximum stress was 32 MPa and the maximum displacement was 0.006 mm. Another problem of bone implants is the impossibility of controlling bone cancer and tumor size. To solve this problem, an electroconductive filament containing Magnetic Nanoparticles (MNPs) is used to release heat and control cancer cells. The mechanical feature of the porous scaffold containing 10 wt% akermanite was obtained as the highest stress tolerance of about 32 MPa with 46% porosity. Regarding the components and prepare the bony scaffold, the MNPs release heat when insert into the magnetic field and control the tumor size which helps the treatment of cancer. In general, it can be concluded that the produced porous scaffold using 3D printing and freeze-drying technology can be used to replace broken bones with the 3D printed EC-PLA coated with 10 wt% akermanite bioceramic with sufficient mechanical and biological behavior for the orthopedic application.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67684126,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67684126/thumbnails/1.jpg","file_name":"1_s2.0_S1751616121003210_main.pdf","download_url":"https://www.academia.edu/attachments/67684126/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_the_mechanical_properti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67684126/1_s2.0_S1751616121003210_main-libre.pdf?1624188607=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_the_mechanical_properti.pdf\u0026Expires=1734055886\u0026Signature=RCEDTymN-9xYVfF-mwgKG9sZ0r8OXdfMa-Uhabv~20yDHoSC1~lbgcfT28O1APlCStrone5YhihplQrvcM5qZH2-~-8TSGmNFp3ll56ixPeNiUW2j8CFzlGYStsjCxpFbYI4hvztAGTKKk3u3RwP7WsBJk1YPvu31XLseTJZxsw0Ym~yLe2oFuWXgsWNlUT0iyefhcBQOdI9zWpRtgeCXNRCGTrXGpGbtEVCR8fw8Axd4Worpn0htJbRoDItKN64fjVrq2jj7-fDfiobswyVdLcO0YYsONyYCcRQIBbu3RidMrNgmg26QDPJCdIJqes04HHHBkIAGM5FhhSAwBN8eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49253597"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49253597/The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation"><img alt="Research paper thumbnail of The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation" class="work-thumbnail" src="https://attachments.academia-assets.com/67637229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49253597/The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation">The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside mi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels<br />with ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.<br />Then, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces<br />ofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,<br />and temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,<br />750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-<br />time steps. It was reported that density distribution in the 300 layers in the center of a microchannel with<br />cubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,<br />with the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower<br />density values than those of other microchannels. On the other side, quantitative results indicate that<br />density differences in the central regions of microchannels are compensated with increasing time steps.<br />Therefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution<br />of atoms within different regions of microchannels.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3b7a57283c93a2fab7cdeec2a1bf11ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67637229,"asset_id":49253597,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67637229/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49253597"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49253597"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49253597; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49253597]").text(description); $(".js-view-count[data-work-id=49253597]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49253597; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49253597']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49253597, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3b7a57283c93a2fab7cdeec2a1bf11ea" } } $('.js-work-strip[data-work-id=49253597]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49253597,"title":"The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation","translated_title":"","metadata":{"doi":"10.1016/j.molliq.2021.116672","abstract":"In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels\nwith ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.\nThen, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces\nofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,\nand temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,\n750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-\ntime steps. It was reported that density distribution in the 300 layers in the center of a microchannel with\ncubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,\nwith the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower\ndensity values than those of other microchannels. On the other side, quantitative results indicate that\ndensity differences in the central regions of microchannels are compensated with increasing time steps.\nTherefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution\nof atoms within different regions of microchannels.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels\nwith ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.\nThen, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces\nofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,\nand temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,\n750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-\ntime steps. It was reported that density distribution in the 300 layers in the center of a microchannel with\ncubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,\nwith the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower\ndensity values than those of other microchannels. On the other side, quantitative results indicate that\ndensity differences in the central regions of microchannels are compensated with increasing time steps.\nTherefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution\nof atoms within different regions of microchannels.","internal_url":"https://www.academia.edu/49253597/The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation","translated_internal_url":"","created_at":"2021-06-15T12:02:50.445-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36622721,"work_id":49253597,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"The effects of shape of barriers on normal distribution of fluid within different regions of microchannels using molecular dynamics simulation"}],"downloadable_attachments":[{"id":67637229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67637229/thumbnails/1.jpg","file_name":"1_s2.0_S0167732221013969_main.pdf","download_url":"https://www.academia.edu/attachments/67637229/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_effects_of_shape_of_barriers_on_norm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67637229/1_s2.0_S0167732221013969_main-libre.pdf?1623790416=\u0026response-content-disposition=attachment%3B+filename%3DThe_effects_of_shape_of_barriers_on_norm.pdf\u0026Expires=1734055886\u0026Signature=WfYkqPc~cMZBQW5TdJUuOvtgyQHSMIi2KPeaYqy9YMj3S9GoK-pKaot8tUMo72ldpesHXmTx4y4HE9tbL0kPJ0bbVapDQC2ososJPTHH7tXiaUAGLOtcgcxLcFcgH6Ze9epW8Th68f2PCaPeJr9okiQGRkRcjBC2ziJ4GaJYzLIfAT2lSQAJLo7EoQW-aIUHeOxQm~RUCyVWN-gaVtzIZRHDOByG~MVVJ72Um9fWOCXl7JHA7XGoQVooFr5klrSndJ2d-YqlhHJ9odoakb1XLtnnRU5j0ISLoim6W9oBkR~a9H-L1Jt7Y0uKxzovCdO5qJqVnIY7IaLOgHEHRD92rg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_effects_of_shape_of_barriers_on_normal_distribution_of_fluid_within_different_regions_of_microchannels_using_molecular_dynamics_simulation","translated_slug":"","page_count":5,"language":"en","content_type":"Work","summary":"In this work, molecular dynamics simulation of boiling flow of argon fluid is presented inside microchannels\nwith ideal and roughened surfaces. In the first step, fluid flow is simulated inside ideal microchannels.\nThen, roughness elements with cone, cubic, and spherical shapes are simulated on the surfaces\nofideal microchannels. Boundary conditions are unique to get comparable results in density, velocity,\nand temperature profiles. Results of density profiles are reported at four-time steps of 250000, 500000,\n750000, and 1000000, respectively. Next, velocity and temperature profiles are presented at 1000000-\ntime steps. It was reported that density distribution in the 300 layers in the center of a microchannel with\ncubic barriers commences at initial time steps while other microchannels begin in higher time steps. But,\nwith the progress of boiling flow, central layers of a rough microchannel with cubic barriers have lower\ndensity values than those of other microchannels. On the other side, quantitative results indicate that\ndensity differences in the central regions of microchannels are compensated with increasing time steps.\nTherefore, it is concluded that the shape of barriers is important and reasonable to bother normal distribution\nof atoms within different regions of microchannels.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67637229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67637229/thumbnails/1.jpg","file_name":"1_s2.0_S0167732221013969_main.pdf","download_url":"https://www.academia.edu/attachments/67637229/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_effects_of_shape_of_barriers_on_norm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67637229/1_s2.0_S0167732221013969_main-libre.pdf?1623790416=\u0026response-content-disposition=attachment%3B+filename%3DThe_effects_of_shape_of_barriers_on_norm.pdf\u0026Expires=1734055886\u0026Signature=WfYkqPc~cMZBQW5TdJUuOvtgyQHSMIi2KPeaYqy9YMj3S9GoK-pKaot8tUMo72ldpesHXmTx4y4HE9tbL0kPJ0bbVapDQC2ososJPTHH7tXiaUAGLOtcgcxLcFcgH6Ze9epW8Th68f2PCaPeJr9okiQGRkRcjBC2ziJ4GaJYzLIfAT2lSQAJLo7EoQW-aIUHeOxQm~RUCyVWN-gaVtzIZRHDOByG~MVVJ72Um9fWOCXl7JHA7XGoQVooFr5klrSndJ2d-YqlhHJ9odoakb1XLtnnRU5j0ISLoim6W9oBkR~a9H-L1Jt7Y0uKxzovCdO5qJqVnIY7IaLOgHEHRD92rg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49144561"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49144561/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs"><img alt="Research paper thumbnail of Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs" class="work-thumbnail" src="https://attachments.academia-assets.com/67534531/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49144561/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs">Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="62673aac2e1f28337b5cafd4eb477871" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67534531,"asset_id":49144561,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67534531/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49144561"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49144561"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49144561; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49144561]").text(description); $(".js-view-count[data-work-id=49144561]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49144561; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49144561']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49144561, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "62673aac2e1f28337b5cafd4eb477871" } } $('.js-work-strip[data-work-id=49144561]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49144561,"title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs","translated_title":"","metadata":{"doi":"10.1016/j.csite.2021.101122","abstract":"This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .","internal_url":"https://www.academia.edu/49144561/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs","translated_internal_url":"","created_at":"2021-06-06T08:37:12.961-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36595247,"work_id":49144561,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil -based nanofluids containing tungsten oxide -MWCNTs"}],"downloadable_attachments":[{"id":67534531,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67534531/thumbnails/1.jpg","file_name":"1_s2.0_S2214157X21002859_main.pdf","download_url":"https://www.academia.edu/attachments/67534531/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67534531/1_s2.0_S2214157X21002859_main-libre.pdf?1622996831=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055886\u0026Signature=RbV9Q69jDfDhw6KSe1dAqkd6QUMmyoiUhMDhDeFNjQRSSQcEJPKeGdK0l3svmrjBJJdiGj9O3rwuvvQzfWOi4qm9nGjvqyWdBIbfLEMp8o5ime6FHyXB94MbLtH9CNfyNnMD0nMwcgRjHUM~REuGOxLqy9mnUPq87Svot9MYomJ2LTfw4k-l6cyagieMCTiEmqkwlgztDQgdysx3Mh7uAdFdD~ktfjOxWKNjIRmzvjpmKaIDKXuoIXJjLQPMbNsNl~F8a70sHGhVroycmH7R3GmHFhhblCLFqo9DBXWPU6rh8jrgCSC3fLrbVdckJsgXDgHhswG025rsFAb1ygXc1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_engine_oil_based_nanofluids_containing_tungsten_oxide_MWCNTs","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"This paper aims to determine the thermal conductivity (k nf) of oxide of tungsten (WO 3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20 • C-60 • C. The ANN was then used to estimate the k nf , and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict k nf .","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67534531,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67534531/thumbnails/1.jpg","file_name":"1_s2.0_S2214157X21002859_main.pdf","download_url":"https://www.academia.edu/attachments/67534531/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67534531/1_s2.0_S2214157X21002859_main-libre.pdf?1622996831=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055886\u0026Signature=RbV9Q69jDfDhw6KSe1dAqkd6QUMmyoiUhMDhDeFNjQRSSQcEJPKeGdK0l3svmrjBJJdiGj9O3rwuvvQzfWOi4qm9nGjvqyWdBIbfLEMp8o5ime6FHyXB94MbLtH9CNfyNnMD0nMwcgRjHUM~REuGOxLqy9mnUPq87Svot9MYomJ2LTfw4k-l6cyagieMCTiEmqkwlgztDQgdysx3Mh7uAdFdD~ktfjOxWKNjIRmzvjpmKaIDKXuoIXJjLQPMbNsNl~F8a70sHGhVroycmH7R3GmHFhhblCLFqo9DBXWPU6rh8jrgCSC3fLrbVdckJsgXDgHhswG025rsFAb1ygXc1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49136222"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49136222/Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks"><img alt="Research paper thumbnail of Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks" class="work-thumbnail" src="https://attachments.academia-assets.com/67526660/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49136222/Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks">Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers u...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="55a85a5d08a01ced2bd180ce3cff357d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67526660,"asset_id":49136222,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67526660/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49136222"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49136222"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49136222; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49136222]").text(description); $(".js-view-count[data-work-id=49136222]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49136222; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49136222']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49136222, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "55a85a5d08a01ced2bd180ce3cff357d" } } $('.js-work-strip[data-work-id=49136222]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49136222,"title":"Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks","translated_title":"","metadata":{"doi":"10.1016/j.est.2021.102774","abstract":"In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.","internal_url":"https://www.academia.edu/49136222/Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks","translated_internal_url":"","created_at":"2021-06-05T09:51:24.855-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36593368,"work_id":49136222,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Numerical analysis of heat transfer in peripheral air vaporizers used in cryogenic storage tanks"}],"downloadable_attachments":[{"id":67526660,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67526660/thumbnails/1.jpg","file_name":"1_s2.0_S2352152X21005016_main.pdf","download_url":"https://www.academia.edu/attachments/67526660/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_heat_transfer_in_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67526660/1_s2.0_S2352152X21005016_main-libre.pdf?1622911975=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_heat_transfer_in_p.pdf\u0026Expires=1734055886\u0026Signature=YEB35laHQgu83pgJfQSkgQM968qT11R1F1QDlNo1pTkj1SPutW25VKYeuoG0BF9nhYXZj5d2gBGR9uCoN68higd2p7imA2x1ZDZwkaPie9Vk128GqkcBJBzagP7qulxucY6BuAv5uECAEUehy0BSGFfcv-VVVk-yypIa9WwZu30fRy1QU53d~UBD9gvtbHjLpClAs9-0q8NGDdFltCk7UxPGOzPdzoKdhyhcCidTPS-1dPS9YyI0GvURNJ0VDLiT8GxlkDReU58N1ogJsea48cZzay5b~E7jLJUukqxZZrcubMi4Vjq59C9B9qOsECWERoz78pthM0P4d06rLZ3Syw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_analysis_of_heat_transfer_in_peripheral_air_vaporizers_used_in_cryogenic_storage_tanks","translated_slug":"","page_count":20,"language":"en","content_type":"Work","summary":"In this study, the numerical study of fluid flow and heat transfer in peripheral air vaporizers used in cryogenic tanks are studied. The vaporizers under consideration include two simple and non-simple peripheral air vaporizers. The fluid enters the vaporizer (in the liquid phase) which is connected to a cryogenic reservoir and, after heat exchanging, is converted to the gas phase, and exits the vaporizer. Inside the two vaporizers, porous foam is used to fill the entire cross-section of the channel. The k-ε realizable model is used for simulation. The Reynolds numbers and the surface temperature vary in the ranges of 2400≤Re≤3000 and 280 K≤T s ≤310 K, respectively. The results show that in all cases, the use of non-simple vaporizer versus simple vaporizer has more satisfactory results in increasing heat transfer. Also, the performance of vaporizers at low surface temperatures leads to a further increase in heat transfer. The presence of porous foam can be considered as an auxiliary factor in increasing heat transfer. In maximum and minimum Reynolds numbers, the percentage increase in convective heat transfer coefficient for surface temperature changes from 300 to 310 K is equal to 15 % and 17 % for the simple vaporizer and 30% and 20% for the non-simple vaporizer, respectively.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67526660,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67526660/thumbnails/1.jpg","file_name":"1_s2.0_S2352152X21005016_main.pdf","download_url":"https://www.academia.edu/attachments/67526660/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_heat_transfer_in_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67526660/1_s2.0_S2352152X21005016_main-libre.pdf?1622911975=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_heat_transfer_in_p.pdf\u0026Expires=1734055886\u0026Signature=YEB35laHQgu83pgJfQSkgQM968qT11R1F1QDlNo1pTkj1SPutW25VKYeuoG0BF9nhYXZj5d2gBGR9uCoN68higd2p7imA2x1ZDZwkaPie9Vk128GqkcBJBzagP7qulxucY6BuAv5uECAEUehy0BSGFfcv-VVVk-yypIa9WwZu30fRy1QU53d~UBD9gvtbHjLpClAs9-0q8NGDdFltCk7UxPGOzPdzoKdhyhcCidTPS-1dPS9YyI0GvURNJ0VDLiT8GxlkDReU58N1ogJsea48cZzay5b~E7jLJUukqxZZrcubMi4Vjq59C9B9qOsECWERoz78pthM0P4d06rLZ3Syw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49103899"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49103899/Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs"><img alt="Research paper thumbnail of Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs" class="work-thumbnail" src="https://attachments.academia-assets.com/67498734/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49103899/Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs">Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs</a></div><div class="wp-workCard_item"><span>Elsevier</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this numerical work is to evaluate the first law and second law performances of ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b168a0e5384ac19b5df3a65719c5a2ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67498734,"asset_id":49103899,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67498734/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49103899"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49103899"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49103899; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49103899]").text(description); $(".js-view-count[data-work-id=49103899]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49103899; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49103899']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49103899, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b168a0e5384ac19b5df3a65719c5a2ee" } } $('.js-work-strip[data-work-id=49103899]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49103899,"title":"Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs","translated_title":"","metadata":{"doi":"10.1016/j.cjche.2020.08.053","abstract":"The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Elsevier"},"translated_abstract":"The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .","internal_url":"https://www.academia.edu/49103899/Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs","translated_internal_url":"","created_at":"2021-06-02T22:00:36.852-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36586095,"work_id":49103899,"tagging_user_id":5734988,"tagged_user_id":5734988,"co_author_invite_id":7247641,"email":"d***e@gmail.com","affiliation":"ISLAMIC AZAD UNIVERSITY KHOMEINISHAHR BRANCH","display_order":1,"name":"Dr. Davood Toghraie","title":"Hydrothermal and entropy generation specifications of a hybrid ferronanofluid in microchannel heat sink embedded in CPUs"}],"downloadable_attachments":[{"id":67498734,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67498734/thumbnails/1.jpg","file_name":"1_s2.0_S1004954120305875_main.pdf","download_url":"https://www.academia.edu/attachments/67498734/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrothermal_and_entropy_generation_spec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67498734/1_s2.0_S1004954120305875_main-libre.pdf?1622753582=\u0026response-content-disposition=attachment%3B+filename%3DHydrothermal_and_entropy_generation_spec.pdf\u0026Expires=1734055886\u0026Signature=E1fhJy5Tj0YG55Y6iDB13HAmEoS1mxgklgZxr15AuoR6Ad99EpuuvZHGp1Nb4pI6CCg2eTMHJ5mLou7TNuYd7m4hv7YRNept8BpndAWn3eNchTVxDH3L3b2wS7ccdCwmCjk~E-jarC3lXx-Vt1lZBS0frAKhfn6S-MKEv45W-F8TU1ox-xlPzvUVLPLxyo162b4n3f5GqgmKR51MXLWFDMFVTWPFRy6cnvd11Z9ly~61uTqxib4y2JHCnZ4lhzjjA2sJgTW7OMBE4lPiYWy7EYwqF9k5b2EHEXS6BsKHuDP5RhPmxceM7Djldt-wxw2xcvYiXgfjBjDc~UMWQ1o2KA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Hydrothermal_and_entropy_generation_specifications_of_a_hybrid_ferronanofluid_in_microchannel_heat_sink_embedded_in_CPUs","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"The objective of this numerical work is to evaluate the first law and second law performances of a hybrid nanofluid flowing through a liquid-cooled microchannel heatsink. The water-based hybrid nanofluid includes the Fe 3 O 4 and carbon nanotubes (CNTs) nanoparticles. The heatsink includes a microchannel configuration for the flow field to gain heat from a processor placed on the bottom of the heatsink. The effects of Fe 3 O 4 concentration (u Fe 3 O 4), CNT concentration (u CNT) and Reynolds number (Re) on the convective heat transfer coefficient, CPU surface temperature, thermal resistance, pumping power, as well as the rate of entropy generation due to the heat transfer and fluid friction is examined. The results indicated higher values of convective heat transfer coefficient, pumping power, and frictional entropy generation rate for higher values of Re, u Fe 3 O 4 and u CNT. By increasing Re, u Fe 3 O 4 and u CNT , the CPU surface temperature and the thermal resistance decrease, and the temperature distribution at the CPU surface became more uniform. To achieve the maximum performance of the studied heatsink, applying the hybrid nanofluid with low u Fe 3 O 4 and u CNT was suggested, while the minimum entropy generation was achieved with the application of nanofluid with high u Fe 3 O 4 and u CNT .","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67498734,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67498734/thumbnails/1.jpg","file_name":"1_s2.0_S1004954120305875_main.pdf","download_url":"https://www.academia.edu/attachments/67498734/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrothermal_and_entropy_generation_spec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67498734/1_s2.0_S1004954120305875_main-libre.pdf?1622753582=\u0026response-content-disposition=attachment%3B+filename%3DHydrothermal_and_entropy_generation_spec.pdf\u0026Expires=1734055886\u0026Signature=E1fhJy5Tj0YG55Y6iDB13HAmEoS1mxgklgZxr15AuoR6Ad99EpuuvZHGp1Nb4pI6CCg2eTMHJ5mLou7TNuYd7m4hv7YRNept8BpndAWn3eNchTVxDH3L3b2wS7ccdCwmCjk~E-jarC3lXx-Vt1lZBS0frAKhfn6S-MKEv45W-F8TU1ox-xlPzvUVLPLxyo162b4n3f5GqgmKR51MXLWFDMFVTWPFRy6cnvd11Z9ly~61uTqxib4y2JHCnZ4lhzjjA2sJgTW7OMBE4lPiYWy7EYwqF9k5b2EHEXS6BsKHuDP5RhPmxceM7Djldt-wxw2xcvYiXgfjBjDc~UMWQ1o2KA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="49051901"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/49051901/Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization"><img alt="Research paper thumbnail of Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization" class="work-thumbnail" src="https://attachments.academia-assets.com/67440958/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/49051901/Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization">Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the present study, a power plant design was first carried out using thermo flow software. Ener...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,<br />and economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the<br />year, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity<br />production, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and<br />efficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic<br />algorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants<br />by 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy<br />consumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much<br />more suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of<br />solar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately<br />includes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from<br />energy, exergy, economic, and environmental. It should be noted that the increase of isen,ST will require an increase in initial<br />investment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency<br />to 88% is reasonable and will not be more than that.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ce1f0af92cf94485aa6899d3ec2bd0dd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67440958,"asset_id":49051901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67440958/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="49051901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="49051901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 49051901; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=49051901]").text(description); $(".js-view-count[data-work-id=49051901]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 49051901; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='49051901']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 49051901, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ce1f0af92cf94485aa6899d3ec2bd0dd" } } $('.js-work-strip[data-work-id=49051901]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":49051901,"title":"Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization","translated_title":"","metadata":{"doi":"10.1007/s10973-020-10371-0","abstract":"In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,\nand economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the\nyear, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity\nproduction, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and\nefficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic\nalgorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants\nby 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy\nconsumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much\nmore suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of\nsolar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately\nincludes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from\nenergy, exergy, economic, and environmental. It should be noted that the increase of \u001fisen,ST will require an increase in initial\ninvestment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency\nto 88% is reasonable and will not be more than that.","ai_title_tag":"Susceptibility Analysis for 50 MW Solar Thermal Plants","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,\nand economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the\nyear, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity\nproduction, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and\nefficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic\nalgorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants\nby 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy\nconsumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much\nmore suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of\nsolar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately\nincludes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from\nenergy, exergy, economic, and environmental. It should be noted that the increase of \u001fisen,ST will require an increase in initial\ninvestment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency\nto 88% is reasonable and will not be more than that.","internal_url":"https://www.academia.edu/49051901/Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization","translated_internal_url":"","created_at":"2021-05-26T22:46:20.666-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36564379,"work_id":49051901,"tagging_user_id":5734988,"tagged_user_id":48085049,"co_author_invite_id":null,"email":"g***2@gmail.com","display_order":1,"name":"gholamreza ahmadi","title":"Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization"}],"downloadable_attachments":[{"id":67440958,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67440958/thumbnails/1.jpg","file_name":"10.1007_s10973_020_10371_0.pdf","download_url":"https://www.academia.edu/attachments/67440958/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Finding_susceptible_areas_for_a_50_MW_so.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67440958/10.1007_s10973_020_10371_0-libre.pdf?1622098180=\u0026response-content-disposition=attachment%3B+filename%3DFinding_susceptible_areas_for_a_50_MW_so.pdf\u0026Expires=1734055886\u0026Signature=XjcVLSMabVFIwTlkU~xhc9zRzWo~Gtk9Fs3mTxmm2ESeGyiMuVC8HeEvbxq1a6aci2ZzjOYCq68HUQ4GS5sjaZ~dnCuABuwVQqs~Ma~xbgY6ka~X06TW2jFwxQhpJtg9-PpOswX8MXGnq~l4O~vZyqU-j0lRJhGjjwHs-x1C8Mo-Cq7z~h6VLTY5HUJVzgPFJUYI1-k5AkFi5CZtST6IImDLzn8G3ekUzOh50OW3HRlKYDxArhIJ3pzblJcSJk3TURMB7WS5UFq07BLr72hsi37R5FQ6lsFbGoat0-l2O02KJACcMGUkgbU8FQ1e-KRBrr6TrDjP5-vvs4MS7rQobQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Finding_susceptible_areas_for_a_50_MW_solar_thermal_power_plant_using_4E_analysis_and_multiobjective_optimization","translated_slug":"","page_count":24,"language":"en","content_type":"Work","summary":"In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental,\nand economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the\nyear, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity\nproduction, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and\nefficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic\nalgorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants\nby 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy\nconsumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much\nmore suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of\nsolar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately\nincludes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from\nenergy, exergy, economic, and environmental. It should be noted that the increase of \u001fisen,ST will require an increase in initial\ninvestment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency\nto 88% is reasonable and will not be more than that.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67440958,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67440958/thumbnails/1.jpg","file_name":"10.1007_s10973_020_10371_0.pdf","download_url":"https://www.academia.edu/attachments/67440958/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Finding_susceptible_areas_for_a_50_MW_so.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67440958/10.1007_s10973_020_10371_0-libre.pdf?1622098180=\u0026response-content-disposition=attachment%3B+filename%3DFinding_susceptible_areas_for_a_50_MW_so.pdf\u0026Expires=1734055886\u0026Signature=XjcVLSMabVFIwTlkU~xhc9zRzWo~Gtk9Fs3mTxmm2ESeGyiMuVC8HeEvbxq1a6aci2ZzjOYCq68HUQ4GS5sjaZ~dnCuABuwVQqs~Ma~xbgY6ka~X06TW2jFwxQhpJtg9-PpOswX8MXGnq~l4O~vZyqU-j0lRJhGjjwHs-x1C8Mo-Cq7z~h6VLTY5HUJVzgPFJUYI1-k5AkFi5CZtST6IImDLzn8G3ekUzOh50OW3HRlKYDxArhIJ3pzblJcSJk3TURMB7WS5UFq07BLr72hsi37R5FQ6lsFbGoat0-l2O02KJACcMGUkgbU8FQ1e-KRBrr6TrDjP5-vvs4MS7rQobQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48962200"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48962200/Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes"><img alt="Research paper thumbnail of Numerical analysis of flow and heat transfer in an elliptical duct fitted with two rotating twisted tapes" class="work-thumbnail" src="https://attachments.academia-assets.com/67356205/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48962200/Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes">Numerical analysis of flow and heat transfer in an elliptical duct fitted with two rotating twisted tapes</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigates the effects of using the rotating twisted tapes on fluid flow, heat trans...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal<br />performance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted<br />tapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar<br />with Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of<br />twisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results<br />suggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the<br />Re number increases the Nu number in all cases. At each Re number, the lowest and the highest increments<br />resulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.<br />Using the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50<br />to 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above<br />1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet<br />velocity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a5aa6fb072fd2654f6f3a789a62d063" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67356205,"asset_id":48962200,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67356205/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48962200"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48962200"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48962200; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48962200]").text(description); $(".js-view-count[data-work-id=48962200]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48962200; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48962200']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48962200, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5a5aa6fb072fd2654f6f3a789a62d063" } } $('.js-work-strip[data-work-id=48962200]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48962200,"title":"Numerical analysis of flow and heat transfer in an elliptical duct fitted with two rotating twisted tapes","translated_title":"","metadata":{"doi":"10.1016/j.icheatmasstransfer.2021.105328","abstract":"This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal\nperformance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted\ntapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar\nwith Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of\ntwisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results\nsuggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the\nRe number increases the Nu number in all cases. At each Re number, the lowest and the highest increments\nresulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.\nUsing the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50\nto 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above\n1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet\nvelocity.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal\nperformance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted\ntapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar\nwith Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of\ntwisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results\nsuggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the\nRe number increases the Nu number in all cases. At each Re number, the lowest and the highest increments\nresulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.\nUsing the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50\nto 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above\n1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet\nvelocity.","internal_url":"https://www.academia.edu/48962200/Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes","translated_internal_url":"","created_at":"2021-05-17T22:15:03.334-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67356205,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67356205/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321002219_main.pdf","download_url":"https://www.academia.edu/attachments/67356205/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_flow_and_heat_tran.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67356205/1_s2.0_S0735193321002219_main-libre.pdf?1621326171=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_flow_and_heat_tran.pdf\u0026Expires=1734055886\u0026Signature=N8zm~mkGpkmzqFT-OdtEMMiNmRUBqHLp3Xyzr2Dc-2pyGZpmx1oElljChwS3J3eX5sJOT5Eq8Azaf00QZN2EQ~yh8dxaOd1tcnn1~za3uEtJCqFbVo7njgWnRJzpVFlCERa9~pGhV34oZCO-jGBxTEbUtQhG5~Aro0hP4FnH8sSIz453WQQD5hyXmwdiWSCXi6~~Eseo87377w~9unisOuuhW1PucswWMpWLsinsINFLGBtDZr8aVPmFmJ-U9uNDdWq~ujnLL4U4FlReHV5r8U6cPeLUUHmfVEbc7DFYdlzN-cJS2MvE0c0ue8YtUrOB2WsG6GdpqSerowYX2ZiceA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Numerical_analysis_of_flow_and_heat_transfer_in_an_elliptical_duct_fitted_with_two_rotating_twisted_tapes","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"This study investigates the effects of using the rotating twisted tapes on fluid flow, heat transfer, and thermal\nperformance of a duct flow. The section of the channel is oval and with two rotating twisted tapes. The twisted\ntapes are analyzed in fixed and rotating cases with three different rotational speeds. The flow regime is laminar\nwith Re = 50 to 1000 and heat flux of 5000 Wm􀀀 2 was applied to the outer surface of the wall. The height of\ntwisted tapes is equivalent to 90% of the channel height which creates the secondary flow. The simulation results\nsuggest that increasing the Re number increases both the Nu number and the pumping power, and increasing the\nRe number increases the Nu number in all cases. At each Re number, the lowest and the highest increments\nresulted by using the tapes are for cases of stationary and rotating tapes with maximum speed, respectively.\nUsing the twisted tapes increases the average Nu number by 24 to 179% and pumping power requirement by 50\nto 250% for the same Re numbers. The value of FOM is less than 1 in the case of using fixed tapes while it is above\n1 for the rotating tape. The highest value of FOM is 1.55 which is for the highest rotating speed at the lowest inlet\nvelocity.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67356205,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67356205/thumbnails/1.jpg","file_name":"1_s2.0_S0735193321002219_main.pdf","download_url":"https://www.academia.edu/attachments/67356205/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Numerical_analysis_of_flow_and_heat_tran.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67356205/1_s2.0_S0735193321002219_main-libre.pdf?1621326171=\u0026response-content-disposition=attachment%3B+filename%3DNumerical_analysis_of_flow_and_heat_tran.pdf\u0026Expires=1734055886\u0026Signature=N8zm~mkGpkmzqFT-OdtEMMiNmRUBqHLp3Xyzr2Dc-2pyGZpmx1oElljChwS3J3eX5sJOT5Eq8Azaf00QZN2EQ~yh8dxaOd1tcnn1~za3uEtJCqFbVo7njgWnRJzpVFlCERa9~pGhV34oZCO-jGBxTEbUtQhG5~Aro0hP4FnH8sSIz453WQQD5hyXmwdiWSCXi6~~Eseo87377w~9unisOuuhW1PucswWMpWLsinsINFLGBtDZr8aVPmFmJ-U9uNDdWq~ujnLL4U4FlReHV5r8U6cPeLUUHmfVEbc7DFYdlzN-cJS2MvE0c0ue8YtUrOB2WsG6GdpqSerowYX2ZiceA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48948435"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48948435/Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution"><img alt="Research paper thumbnail of Experimental analysis of hollow fiber membrane dehumidifier system with SiO2/CaCl2 aqueous desiccant solution" class="work-thumbnail" src="https://attachments.academia-assets.com/67346154/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48948435/Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution">Experimental analysis of hollow fiber membrane dehumidifier system with SiO2/CaCl2 aqueous desiccant solution</a></div><div class="wp-workCard_item"><span>Science direct</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The liquid desiccant air conditioning system is amongst the promising technologies for the provis...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The liquid desiccant air conditioning system is amongst the promising technologies for the provision<br />of efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased<br />dehumidification systems have drawn large attention. Various techniques are used to enhance<br />the performance of different dehumidification system types. The effect of using calcium chloride<br />nanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber<br />membrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2<br />m3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity<br />analysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and<br />solution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.<br />The results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible<br />and latent effectiveness improved at the condition of high inlet solution temperature. The effect<br />of employing nanofluid on exergy performance is the highest for the highest concentration of<br />nanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted<br />by using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid<br />concentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased<br />by 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d692759672d33a212067d217b73f3334" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67346154,"asset_id":48948435,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67346154/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48948435"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48948435"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48948435; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48948435]").text(description); $(".js-view-count[data-work-id=48948435]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48948435; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48948435']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48948435, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d692759672d33a212067d217b73f3334" } } $('.js-work-strip[data-work-id=48948435]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48948435,"title":"Experimental analysis of hollow fiber membrane dehumidifier system with SiO2/CaCl2 aqueous desiccant solution","translated_title":"","metadata":{"doi":"10.1016/j.egyr.2021.05.010","abstract":"The liquid desiccant air conditioning system is amongst the promising technologies for the provision\nof efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased\ndehumidification systems have drawn large attention. Various techniques are used to enhance\nthe performance of different dehumidification system types. The effect of using calcium chloride\nnanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber\nmembrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2\nm3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity\nanalysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and\nsolution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.\nThe results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible\nand latent effectiveness improved at the condition of high inlet solution temperature. The effect\nof employing nanofluid on exergy performance is the highest for the highest concentration of\nnanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted\nby using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid\nconcentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased\nby 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Science direct"},"translated_abstract":"The liquid desiccant air conditioning system is amongst the promising technologies for the provision\nof efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased\ndehumidification systems have drawn large attention. Various techniques are used to enhance\nthe performance of different dehumidification system types. The effect of using calcium chloride\nnanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber\nmembrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2\nm3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity\nanalysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and\nsolution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.\nThe results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible\nand latent effectiveness improved at the condition of high inlet solution temperature. The effect\nof employing nanofluid on exergy performance is the highest for the highest concentration of\nnanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted\nby using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid\nconcentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased\nby 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.","internal_url":"https://www.academia.edu/48948435/Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution","translated_internal_url":"","created_at":"2021-05-17T05:45:43.991-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67346154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67346154/thumbnails/1.jpg","file_name":"1_s2.0_S2352484721002882_main.pdf","download_url":"https://www.academia.edu/attachments/67346154/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experimental_analysis_of_hollow_fiber_me.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67346154/1_s2.0_S2352484721002882_main-libre.pdf?1621257432=\u0026response-content-disposition=attachment%3B+filename%3DExperimental_analysis_of_hollow_fiber_me.pdf\u0026Expires=1734055887\u0026Signature=JH1A9ogFcLOO5DvRoxtksr1DjvwcuN1Imv4iwlAjKUCdQhqzdS85xfoK8NbJQYf-XyKkFr2zFN9RcA03O~zD4h0WPxz5dragP1SiUSJGzvfszbWGXkF-5qhuI~njZTBVrBHQxqUj8dStBHgnX4UgdB9u5Nb5P~u8t9j6QGHfzS1abKrpwaxGVPbU3qw6KHCw8a7snxlAQPOmFvXU7wbQh0soy3qoHt0lZJdXLdlPWJQZb4JU9CGMAno3YVjXeuuzj9XH1YBajd-H3Y734hixRMjSvXVa0JzpObSlengqIjfeTCN1eparIQy4vpuMugI3i-SzE5iH6f1j~aCPZv4Ahw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Experimental_analysis_of_hollow_fiber_membrane_dehumidifier_system_with_SiO2_CaCl2_aqueous_desiccant_solution","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"The liquid desiccant air conditioning system is amongst the promising technologies for the provision\nof efficient air conditioning, particularly in hot humid climate conditions. By their benefits, membranebased\ndehumidification systems have drawn large attention. Various techniques are used to enhance\nthe performance of different dehumidification system types. The effect of using calcium chloride\nnanofluid solution with the added silicate nanoparticles as a desiccant solution in a hollow fiber\nmembrane contactor system investigated experimentally. The airflow rate through the fibers is 11.2\nm3/h with inlet relative humidity and temperature of 60 % and 35 ◦C, respectively. The sensitivity\nanalysis was made to reveal the effect of desiccant temperatures, nanoparticle concentrations, and\nsolution flow rates on sensible, latent, and total effectiveness and 2nd law efficiency of the system.\nThe results indicate that using nanofluid instead of a pure desiccant solution, the values of sensible\nand latent effectiveness improved at the condition of high inlet solution temperature. The effect\nof employing nanofluid on exergy performance is the highest for the highest concentration of\nnanoparticles and inlet solution temperature. The maximum change of exergy destruction rate resulted\nby using nanofluid solution took place at a maximum flow rate of 244 ml/min for 1% nanofluid\nconcentration. Using 1 % nanofluid instead of a pure solution, the rate of exergy destruction increased\nby 82 % and 160 % for 20 ◦C and 26 ◦C solution temperatures, respectively.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67346154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67346154/thumbnails/1.jpg","file_name":"1_s2.0_S2352484721002882_main.pdf","download_url":"https://www.academia.edu/attachments/67346154/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experimental_analysis_of_hollow_fiber_me.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67346154/1_s2.0_S2352484721002882_main-libre.pdf?1621257432=\u0026response-content-disposition=attachment%3B+filename%3DExperimental_analysis_of_hollow_fiber_me.pdf\u0026Expires=1734055887\u0026Signature=JH1A9ogFcLOO5DvRoxtksr1DjvwcuN1Imv4iwlAjKUCdQhqzdS85xfoK8NbJQYf-XyKkFr2zFN9RcA03O~zD4h0WPxz5dragP1SiUSJGzvfszbWGXkF-5qhuI~njZTBVrBHQxqUj8dStBHgnX4UgdB9u5Nb5P~u8t9j6QGHfzS1abKrpwaxGVPbU3qw6KHCw8a7snxlAQPOmFvXU7wbQh0soy3qoHt0lZJdXLdlPWJQZb4JU9CGMAno3YVjXeuuzj9XH1YBajd-H3Y734hixRMjSvXVa0JzpObSlengqIjfeTCN1eparIQy4vpuMugI3i-SzE5iH6f1j~aCPZv4Ahw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48864596"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48864596/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide"><img alt="Research paper thumbnail of Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide" class="work-thumbnail" src="https://attachments.academia-assets.com/67277132/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48864596/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide">Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol<br />(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a<br />two-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as<br />well as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50<br />°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was<br />26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in<br />102 data points.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3e2fd140090f7fd251d8c47d795db5ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67277132,"asset_id":48864596,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67277132/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48864596"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48864596"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48864596; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48864596]").text(description); $(".js-view-count[data-work-id=48864596]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48864596; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48864596']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48864596, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3e2fd140090f7fd251d8c47d795db5ee" } } $('.js-work-strip[data-work-id=48864596]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48864596,"title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide","translated_title":"","metadata":{"doi":"10.1016/j.powtec.2021.04.093","abstract":"An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol\n(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a\ntwo-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as\nwell as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50\n°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was\n26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in\n102 data points.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol\n(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a\ntwo-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as\nwell as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50\n°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was\n26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in\n102 data points.","internal_url":"https://www.academia.edu/48864596/Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide","translated_internal_url":"","created_at":"2021-05-10T01:45:33.933-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36518101,"work_id":48864596,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of water/ethylene glycol-based mono, binary and ternary nanofluids containing MWCNTs, titania, and zinc oxide"}],"downloadable_attachments":[{"id":67277132,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67277132/thumbnails/1.jpg","file_name":"1_s2.0_S003259102100382X_main.pdf","download_url":"https://www.academia.edu/attachments/67277132/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67277132/1_s2.0_S003259102100382X_main-libre.pdf?1620639354=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055887\u0026Signature=Kx3uoV3bfQnb0gO2dQwwmoAqYQ4p2DP-ymXqPnJBy29Om3pFZkw8Mh-M9KAw-vPbJ1xN~GZ0fx8tQkO6PWAc7Stctlt87ox7KZHaybFwMJstDxsaDKzPTlllVxe~tv1MkbN463FITPGEH6eEZvgswOxTFh056jjFjWEOfIKcoKPkY52MM7WY~lwUGe47Y~79q-5L0p2XN24m4dO0Kg5jKra9A7a6knwyCsNadYvftiBs1VOLma6gv5HVmsw4hhnzRmuYaqAt3-5MSX4xx31RwwboE3wFiJS9Q4Yki60NrUPY1etWjWWP8ll8YQThwKmO5POYaGLXfe8kEtEhV5ZHJQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Applying_Artificial_Neural_Networks_ANNs_for_prediction_of_the_thermal_characteristics_of_water_ethylene_glycol_based_mono_binary_and_ternary_nanofluids_containing_MWCNTs_titania_and_zinc_oxide","translated_slug":"","page_count":7,"language":"en","content_type":"Work","summary":"An Artificial Neural Network (ANN)was applied tomodel the thermal conductivity (knf) inwater/ethylene glycol\n(80:20) based hybrid nanofluid containing MWCNTs-titania-Zinc oxide. The nanofluids were synthesized by a\ntwo-step method. The ternary hybrid nanofluids had a volume fraction of nanoparticles φ = 0.1% to 0.4%, as\nwell as mono and binary hybrid nanofluids. The experiments were performed at temperatures T = 25 °C–50\n°C. Then an ANN has been used to predict the knf. According to the results, the optimum neuron number was\n26. The designed network has acceptable performance and the maximum absolute error was less than 0.018 in\n102 data points.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67277132,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67277132/thumbnails/1.jpg","file_name":"1_s2.0_S003259102100382X_main.pdf","download_url":"https://www.academia.edu/attachments/67277132/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Applying_Artificial_Neural_Networks_ANNs.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67277132/1_s2.0_S003259102100382X_main-libre.pdf?1620639354=\u0026response-content-disposition=attachment%3B+filename%3DApplying_Artificial_Neural_Networks_ANNs.pdf\u0026Expires=1734055887\u0026Signature=Kx3uoV3bfQnb0gO2dQwwmoAqYQ4p2DP-ymXqPnJBy29Om3pFZkw8Mh-M9KAw-vPbJ1xN~GZ0fx8tQkO6PWAc7Stctlt87ox7KZHaybFwMJstDxsaDKzPTlllVxe~tv1MkbN463FITPGEH6eEZvgswOxTFh056jjFjWEOfIKcoKPkY52MM7WY~lwUGe47Y~79q-5L0p2XN24m4dO0Kg5jKra9A7a6knwyCsNadYvftiBs1VOLma6gv5HVmsw4hhnzRmuYaqAt3-5MSX4xx31RwwboE3wFiJS9Q4Yki60NrUPY1etWjWWP8ll8YQThwKmO5POYaGLXfe8kEtEhV5ZHJQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48840203"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48840203/Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential"><img alt="Research paper thumbnail of Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential" class="work-thumbnail" src="https://attachments.academia-assets.com/67257887/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48840203/Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential">Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, the molecular dynamics method is implemented to study the temperature and edge effe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the<br />atomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are<br />simulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms<br />are based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack<br />growth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic<br />simulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.<br />Furthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results<br />show that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;<br />so, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.<br />Numerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this<br />structure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="85b5c90a5af7e2160c6034f8f6f55553" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67257887,"asset_id":48840203,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67257887/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48840203"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48840203"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48840203; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48840203]").text(description); $(".js-view-count[data-work-id=48840203]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48840203; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48840203']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48840203, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "85b5c90a5af7e2160c6034f8f6f55553" } } $('.js-work-strip[data-work-id=48840203]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48840203,"title":"Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential","translated_title":"","metadata":{"doi":"10.1016/j.physe.2021.114789","abstract":"In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the\natomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are\nsimulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms\nare based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack\ngrowth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic\nsimulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.\nFurthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results\nshow that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;\nso, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.\nNumerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this\nstructure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the\natomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are\nsimulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms\nare based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack\ngrowth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic\nsimulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.\nFurthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results\nshow that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;\nso, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.\nNumerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this\nstructure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value","internal_url":"https://www.academia.edu/48840203/Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential","translated_internal_url":"","created_at":"2021-05-07T22:09:19.456-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67257887,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67257887/thumbnails/1.jpg","file_name":"1_s2.0_S1386947721001727_main.pdf","download_url":"https://www.academia.edu/attachments/67257887/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mechanical_and_thermal_stability_of_armc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67257887/1_s2.0_S1386947721001727_main-libre.pdf?1620453988=\u0026response-content-disposition=attachment%3B+filename%3DMechanical_and_thermal_stability_of_armc.pdf\u0026Expires=1734055887\u0026Signature=IbS6~QSteWxcUaCEMk2gau-dols1nAFj4VjT-4yr8QX9RXy97KEFQDqS9TBujujV1D8GrDWhvtx5K1DUHQYbHpUSCqo9DJW2su5SrKIUM0bL0olvUoVy3EPA4I-w0H63fhPfq8JkiIlM6UW9nv2vKcSuK65ou3TPogzKD7xuO8zNo4cxKFV-H~jx1Q~~ndzk2qao9FXZzBU1pT6H7eJTPjq4Ne5B-y6DyPswDcBtGpDZAFM7r-UDlaIyzdEoJSQxrjEdfSqqWNHeerXY0ODhbDe9AHqLMr2U0uptOGEuTYEu0nvanUhRnJdsh~aZcw7c20HbbM1I3EuD4FV0l4LVKg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mechanical_and_thermal_stability_of_armchair_and_zig_zag_carbon_sheets_using_classical_MD_simulation_with_Tersoff_potential","translated_slug":"","page_count":8,"language":"en","content_type":"Work","summary":"In this work, the molecular dynamics method is implemented to study the temperature and edge effects on the\natomic crack’s growth in graphene nanosheet. Graphene nanosheets with armchair and zig-zag edges are\nsimulated to this mechanical procedure. In our calculations, the atomic interactions of simulated carbon atoms\nare based on Tersoff potential. Simulation results show that nanosheets’ edge is an important parameter in crack\ngrowth. Physically, graphene with armchair edge shows more resistance against atomic cracking in atomic\nsimulations. In this structure, the final length of crack is 23.60 Å which is smaller than the zig-zag one at 300 K.\nFurthermore, the effects of temperature on the atomic crack of graphene nanosheets are studied. Our results\nshow that by increasing the temperature from 300 K to 350 K, the atomic movements of carbon atoms increase;\nso, we concluded that the atomic stability of graphene nanosheets decreases by temperature increasing.\nNumerically, by 50 K temperature increasing in armchair/zig-zag graphene nanosheet, the crack length in this\nstructure reaches to 28.32 Å/30.34 Å from 23.60 Å/28.91 Å value","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67257887,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67257887/thumbnails/1.jpg","file_name":"1_s2.0_S1386947721001727_main.pdf","download_url":"https://www.academia.edu/attachments/67257887/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mechanical_and_thermal_stability_of_armc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67257887/1_s2.0_S1386947721001727_main-libre.pdf?1620453988=\u0026response-content-disposition=attachment%3B+filename%3DMechanical_and_thermal_stability_of_armc.pdf\u0026Expires=1734055887\u0026Signature=IbS6~QSteWxcUaCEMk2gau-dols1nAFj4VjT-4yr8QX9RXy97KEFQDqS9TBujujV1D8GrDWhvtx5K1DUHQYbHpUSCqo9DJW2su5SrKIUM0bL0olvUoVy3EPA4I-w0H63fhPfq8JkiIlM6UW9nv2vKcSuK65ou3TPogzKD7xuO8zNo4cxKFV-H~jx1Q~~ndzk2qao9FXZzBU1pT6H7eJTPjq4Ne5B-y6DyPswDcBtGpDZAFM7r-UDlaIyzdEoJSQxrjEdfSqqWNHeerXY0ODhbDe9AHqLMr2U0uptOGEuTYEu0nvanUhRnJdsh~aZcw7c20HbbM1I3EuD4FV0l4LVKg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="48823356"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/48823356/The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics"><img alt="Research paper thumbnail of The thermal performance of five different viscosity models in the kidney blood vessel with multi-phase mixture of non-Newtonian fluid models using computational fluid dynamics" class="work-thumbnail" src="https://attachments.academia-assets.com/67246935/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/48823356/The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics">The thermal performance of five different viscosity models in the kidney blood vessel with multi-phase mixture of non-Newtonian fluid models using computational fluid dynamics</a></div><div class="wp-workCard_item"><span>Springer</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)<br />and Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite<br />volume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar<br />flow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average<br />wall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model<br />represents a higher heat transfer.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4e80d7116cac9251cc78d2187af94f8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":67246935,"asset_id":48823356,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/67246935/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="48823356"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="48823356"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48823356; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48823356]").text(description); $(".js-view-count[data-work-id=48823356]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48823356; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='48823356']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 48823356, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a4e80d7116cac9251cc78d2187af94f8" } } $('.js-work-strip[data-work-id=48823356]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":48823356,"title":"The thermal performance of five different viscosity models in the kidney blood vessel with multi-phase mixture of non-Newtonian fluid models using computational fluid dynamics","translated_title":"","metadata":{"doi":"10.1007/s00419-021-01911-7","abstract":"Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)\nand Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite\nvolume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar\nflow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average\nwall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model\nrepresents a higher heat transfer.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Springer"},"translated_abstract":"Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)\nand Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite\nvolume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar\nflow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average\nwall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model\nrepresents a higher heat transfer.","internal_url":"https://www.academia.edu/48823356/The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics","translated_internal_url":"","created_at":"2021-05-07T03:48:07.442-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":67246935,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67246935/thumbnails/1.jpg","file_name":"10.1007_s00419_021_01911_7_8ye5.pdf","download_url":"https://www.academia.edu/attachments/67246935/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_thermal_performance_of_five_differen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67246935/10.1007_s00419_021_01911_7_8ye5-libre.pdf?1620384631=\u0026response-content-disposition=attachment%3B+filename%3DThe_thermal_performance_of_five_differen.pdf\u0026Expires=1734055887\u0026Signature=K5X9ZWzS5ch-P8NLevKiWD3psUed3KzpzGAvhuEQR9pJs2uS1jgxhAic9VGyvyYy-I5DENgzSFtcYXTGDMnPuMRiKnyp5IpVVdCEARqxsQZSaUcYrWSCx3Q20tDtfRm27mR794U81N0sfR785hc1XDBzvVFSKJzY71GUKLImIR2ORPIwNb340w0I5tZPB4-ZOFGLXuCekdBcuA9n4AoIntO2vVcnam4wezbBALfG9wb8-Mk-MdRKmK44-JU0geCJHFEasufBOY0a4EiWKLGjNumfJwO6tGDGs9yv6y2gKulbmlE7gDuJxa92OFcXHmOieoMq0mn5G6Wfjz8UY8kX~w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_thermal_performance_of_five_different_viscosity_models_in_the_kidney_blood_vessel_with_multi_phase_mixture_of_non_Newtonian_fluid_models_using_computational_fluid_dynamics","translated_slug":"","page_count":9,"language":"en","content_type":"Work","summary":"Abstract Computational hemodynamic (CHD) is an engineering tool and a good approach that helped many physicians to obtain much information about the situation of the patient in a lot of diseases like cardiovascular disease, even surgery, etc. The dispersion of blood cells in the plasma is heterogeneous. Therefore, the blood fluid is a multi-phase mixture of non-Newtonian fluid. Numerical calculation of non-Newtonian viscosity models of blood flow parameter includes Reynolds number; different wall heat fluxes in three situations of the body (sleeping, standing and running), etc. are investigated. To construct a 3D model of the kidney blood vessel, an open-source software program using Digital Imaging and Communications in Medicine (DICOM)\nand Magnetic Resonance Image (MRI) is used. Additionally, the vessel wall is considered solid. The finite\nvolume approach and SIMPLE scheme are used. The non-Newtonian blood flow is considered as a laminar\nflow. All of these heat fluxes generated by the body in different situations have their impact on the reported parameters in this paper. The reported parameters included dimensionless numbers like pressure drop, average\nwall shear stress, heat transfer coefficient, and temperature. The power-law non-Newtonian viscosity model makes the velocity gradient more than other non-Newtonian viscosity models. Also, the power-law model\nrepresents a higher heat transfer.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":67246935,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/67246935/thumbnails/1.jpg","file_name":"10.1007_s00419_021_01911_7_8ye5.pdf","download_url":"https://www.academia.edu/attachments/67246935/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_thermal_performance_of_five_differen.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/67246935/10.1007_s00419_021_01911_7_8ye5-libre.pdf?1620384631=\u0026response-content-disposition=attachment%3B+filename%3DThe_thermal_performance_of_five_differen.pdf\u0026Expires=1734055887\u0026Signature=K5X9ZWzS5ch-P8NLevKiWD3psUed3KzpzGAvhuEQR9pJs2uS1jgxhAic9VGyvyYy-I5DENgzSFtcYXTGDMnPuMRiKnyp5IpVVdCEARqxsQZSaUcYrWSCx3Q20tDtfRm27mR794U81N0sfR785hc1XDBzvVFSKJzY71GUKLImIR2ORPIwNb340w0I5tZPB4-ZOFGLXuCekdBcuA9n4AoIntO2vVcnam4wezbBALfG9wb8-Mk-MdRKmK44-JU0geCJHFEasufBOY0a4EiWKLGjNumfJwO6tGDGs9yv6y2gKulbmlE7gDuJxa92OFcXHmOieoMq0mn5G6Wfjz8UY8kX~w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="47766923"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/47766923/Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension"><img alt="Research paper thumbnail of Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension" class="work-thumbnail" src="https://attachments.academia-assets.com/66708732/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/47766923/Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension">Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension</a></div><div class="wp-workCard_item"><span>www.sciencedirect.com</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a379c1c45accbb65c1c0bd5888f006d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66708732,"asset_id":47766923,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66708732/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="47766923"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="47766923"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 47766923; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=47766923]").text(description); $(".js-view-count[data-work-id=47766923]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 47766923; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='47766923']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 47766923, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3a379c1c45accbb65c1c0bd5888f006d" } } $('.js-work-strip[data-work-id=47766923]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":47766923,"title":"Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension","translated_title":"","metadata":{"doi":"10.1016/j.matcom.2021.04.011","abstract":"Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"www.sciencedirect.com"},"translated_abstract":"Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.","internal_url":"https://www.academia.edu/47766923/Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension","translated_internal_url":"","created_at":"2021-04-28T04:47:23.842-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":36482875,"work_id":47766923,"tagging_user_id":5734988,"tagged_user_id":null,"co_author_invite_id":708747,"email":"t***e@iaukhsh.ac.ir","display_order":1,"name":"Davood Toghraie","title":"Computational hemodynamics and thermal analysis of laminar blood flow for different types of hypertension"}],"downloadable_attachments":[{"id":66708732,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66708732/thumbnails/1.jpg","file_name":"1_s2.0_S0378475421001294_main.pdf","download_url":"https://www.academia.edu/attachments/66708732/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Computational_hemodynamics_and_thermal_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66708732/1_s2.0_S0378475421001294_main-libre.pdf?1619613024=\u0026response-content-disposition=attachment%3B+filename%3DComputational_hemodynamics_and_thermal_a.pdf\u0026Expires=1734055887\u0026Signature=JdnBDYB9r4EZb1gl3P4v-A0-gy7hn8DgUzVzHXhXb8uPaTI8o3KwwZzPI-sv10E8g8objFRCGXAFxT4FODylYhffoIu2mi~D-c44rqX~-1jF7CKd4qiECAASMizSDftsMg64b4daCnxmmZI2kDt8x6ovgjVY1a2z-~xLJdf0rdnU33qJqKTrNEGXxVibP4Sx8j4ZlmX0ANiDPMQQF4s1M~G~7EeD~y2HNqZxXUN-VIL2DujMnSg6G1BlKcnzOTVxXgd~5TzkinfE84aMZzOV4K6InTirUkAg69BLPYPZ~tZs7cI1ea7b5Rs59jSuyTAImd3KNpOdvwMj1G-lBpM09A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Computational_hemodynamics_and_thermal_analysis_of_laminar_blood_flow_for_different_types_of_hypertension","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"Computational hemodynamics (CHD) is a promising engineering technique that has allowed doctors to learn a lot about patients' conditions in various diseases such as cardiovascular disease (CVD) and even surgery. In industrialized countries, hypertension is becoming a widespread public health issue, resulting in death in extreme cases. A successful method for investigating hypertension in both diastolic and systolic conditions is to use the finite volume method (FVM) to incorporate velocity and pressure. Due to the use of Magnetic Resonance Image (MRI) and Digital Imaging and Communications in Medicine (DICOM), the 3D geometry has an acceptable accuracy, and the geometry has been created based thereon. The flow of blood is regarded as steady, lamina, incompressible, and non-Newtonian. Herein, all the age groups have their unique effect on the parameters reported, including Nusselt number and dimensionless numbers, e.g., average wall shear stress (AWSS), temperature, and pressure drop. In such a numerical simulation, all the results revealed that the parameters improved by increasing diastolic and systolic blood pressure. Nevertheless, the patient is recommended to see a doctor urgently in case of a hypertensive situation.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":66708732,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66708732/thumbnails/1.jpg","file_name":"1_s2.0_S0378475421001294_main.pdf","download_url":"https://www.academia.edu/attachments/66708732/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Computational_hemodynamics_and_thermal_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66708732/1_s2.0_S0378475421001294_main-libre.pdf?1619613024=\u0026response-content-disposition=attachment%3B+filename%3DComputational_hemodynamics_and_thermal_a.pdf\u0026Expires=1734055887\u0026Signature=JdnBDYB9r4EZb1gl3P4v-A0-gy7hn8DgUzVzHXhXb8uPaTI8o3KwwZzPI-sv10E8g8objFRCGXAFxT4FODylYhffoIu2mi~D-c44rqX~-1jF7CKd4qiECAASMizSDftsMg64b4daCnxmmZI2kDt8x6ovgjVY1a2z-~xLJdf0rdnU33qJqKTrNEGXxVibP4Sx8j4ZlmX0ANiDPMQQF4s1M~G~7EeD~y2HNqZxXUN-VIL2DujMnSg6G1BlKcnzOTVxXgd~5TzkinfE84aMZzOV4K6InTirUkAg69BLPYPZ~tZs7cI1ea7b5Rs59jSuyTAImd3KNpOdvwMj1G-lBpM09A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":71399,"name":"Hypertension","url":"https://www.academia.edu/Documents/in/Hypertension"},{"id":1251210,"name":"Blood Vessel","url":"https://www.academia.edu/Documents/in/Blood_Vessel"},{"id":1967167,"name":"Systolic array","url":"https://www.academia.edu/Documents/in/Systolic_array"},{"id":2972114,"name":"Diastolic","url":"https://www.academia.edu/Documents/in/Diastolic-1"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="46946145"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46946145/Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field"><img alt="Research paper thumbnail of Investigation of Ferro-nanofluid flow within a porous ribbed microchannel heat sink using single-phase and two-phase approaches in the presence of constant magnetic field" class="work-thumbnail" src="https://attachments.academia-assets.com/66301760/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46946145/Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field">Investigation of Ferro-nanofluid flow within a porous ribbed microchannel heat sink using single-phase and two-phase approaches in the presence of constant magnetic field</a></div><div class="wp-workCard_item"><span>ScienceDirect</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bf3ba79bbf8cc2a86d4c5dd8744f22a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66301760,"asset_id":46946145,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66301760/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46946145"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46946145"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46946145; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46946145]").text(description); $(".js-view-count[data-work-id=46946145]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46946145; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46946145']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46946145, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "bf3ba79bbf8cc2a86d4c5dd8744f22a0" } } $('.js-work-strip[data-work-id=46946145]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46946145,"title":"Investigation of Ferro-nanofluid flow within a porous ribbed microchannel heat sink using single-phase and two-phase approaches in the presence of constant magnetic field","translated_title":"","metadata":{"doi":"10.1016/j.powtec.2021.04.033","abstract":"In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"ScienceDirect"},"translated_abstract":"In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.","internal_url":"https://www.academia.edu/46946145/Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field","translated_internal_url":"","created_at":"2021-04-19T09:05:40.840-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":66301760,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66301760/thumbnails/1.jpg","file_name":"1_s2.0_S0032591021003132_main.pdf","download_url":"https://www.academia.edu/attachments/66301760/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_Ferro_nanofluid_flow_wi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66301760/1_s2.0_S0032591021003132_main-libre.pdf?1618848273=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_Ferro_nanofluid_flow_wi.pdf\u0026Expires=1734055887\u0026Signature=OGkUmCTEbAeFPfZdy6h5nYih8XFCfr0FL~g~ywOQrZrR9KCMmH0KyPl0z-lcKR4~WuOJJwaUTt93v9c3OMDq6XyWGY834CjCWlts2~eH6IGaVuQLSjsqXveyquODzG7ngWNv6UG2zTDHMatGCdxc4Qu3tPkqdDb69~ecv94Rez~iCSjjpbdcemROhQNLyfwikHqhD9W1GdaG6Wn9MQ5UeE7FRAXYcqq0RspGYrAzW9jqL~ZDlwDcVtaQv5Jw-NwyzNPR2UZefrHl1qEv2PSsUM7sa7VECP9JUfUcMpzECFXc~dUouTW6PvxaVEsAjazhg4lV8zUYU0tKtHz0dBNK7w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Investigation_of_Ferro_nanofluid_flow_within_a_porous_ribbed_microchannel_heat_sink_using_single_phase_and_two_phase_approaches_in_the_presence_of_constant_magnetic_field","translated_slug":"","page_count":10,"language":"en","content_type":"Work","summary":"In this investigation, the entropy generation, heat transfer, and Fe 3 O 4-water ferro-nanofluid flow within a porous ribbed microchannel heat sink in the presence of a constant magnetic field are investigated, and their impacts are analyzed for single-phase and two-phase approaches. The values of dimensionless numbers, namely Hartmann and the Reynolds numbers are in the range of 0 ≤ Ha ≤ 10 and 10 ≤ Re ≤ 80. Additionally, the porosity percentage and volume fraction of nanoparticles are in the range of 0 ≤ ε ≤ 75 % and 0 ≤ ϕ ≤ 2 %, respectively. The influences of dimensionless numbers and porosity percentage in three cases of the microchannel (Cases A.1, A.2, and A.3) are investigated. This study provides a comparison between assumed parameters. It is demonstrated that in all cases, variables such as porosity percentage, Reynolds and Hartmann numbers are directly related to the enhancement of the heat transfer coefficient. Also, in the single-phase model, the dimensionless heat transfer coefficient has a lower amount compared to the two-phase model, and the only exception is for ϕ = 0%.","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":66301760,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66301760/thumbnails/1.jpg","file_name":"1_s2.0_S0032591021003132_main.pdf","download_url":"https://www.academia.edu/attachments/66301760/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_of_Ferro_nanofluid_flow_wi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66301760/1_s2.0_S0032591021003132_main-libre.pdf?1618848273=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_of_Ferro_nanofluid_flow_wi.pdf\u0026Expires=1734055887\u0026Signature=OGkUmCTEbAeFPfZdy6h5nYih8XFCfr0FL~g~ywOQrZrR9KCMmH0KyPl0z-lcKR4~WuOJJwaUTt93v9c3OMDq6XyWGY834CjCWlts2~eH6IGaVuQLSjsqXveyquODzG7ngWNv6UG2zTDHMatGCdxc4Qu3tPkqdDb69~ecv94Rez~iCSjjpbdcemROhQNLyfwikHqhD9W1GdaG6Wn9MQ5UeE7FRAXYcqq0RspGYrAzW9jqL~ZDlwDcVtaQv5Jw-NwyzNPR2UZefrHl1qEv2PSsUM7sa7VECP9JUfUcMpzECFXc~dUouTW6PvxaVEsAjazhg4lV8zUYU0tKtHz0dBNK7w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="46931979"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/46931979/Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation"><img alt="Research paper thumbnail of Investigation on the effect of functionalization of single-walled carbon nanotubes on the mechanical properties of epoxy glass composites: Experimental and molecular dynamics simulation" class="work-thumbnail" src="https://attachments.academia-assets.com/66294720/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/46931979/Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation">Investigation on the effect of functionalization of single-walled carbon nanotubes on the mechanical properties of epoxy glass composites: Experimental and molecular dynamics simulation</a></div><div class="wp-workCard_item"><span>www.sciencedirect.com</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In recent decades, polymer composites are widely used in industry due to their good mechanical pr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In recent decades, polymer composites are widely used in industry due to their good mechanical<br />properties and their low specific weight. Also, the use of glass fibers and carbon<br />nanotubes can strengthen and improve the mechanical performance of the polymer due to<br />their good mechanical properties. In this study, incorporated glass/epoxy nanocomposite<br />with carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the<br />effect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH<br />and non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,<br />bending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction<br />(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and<br />morphology of the fibers. The mechanical properties results showed that the highest elastic<br />modulus and tensile strength are obtained for the sample reinforced with F-SWCNT which<br />increased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained<br />results of the bending test indicate that the highest flexural modulus and the highest flexural<br />strength are related to the sample reinforced with functionalized carbon nanotubes which<br />are 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement<br />in the epoxy matrix and the failure mechanismwas monitored using SEM images.<br />Finally, reinforced epoxy nanocomposites with functionalized and non-functionalized<br />SWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement<br />with the trends of experimental results. TheMDobtained results showed that the most<br />appropriate mode of dispersion occurs when functionalized carbon nanotubes are used.<br />Also, it was observed that the elastic modulus of incorporated nanocomposites with F-</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="457695fbcd7e4e301429ed6f8cbd8828" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66294720,"asset_id":46931979,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66294720/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="46931979"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="46931979"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46931979; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46931979]").text(description); $(".js-view-count[data-work-id=46931979]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46931979; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46931979']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46931979, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "457695fbcd7e4e301429ed6f8cbd8828" } } $('.js-work-strip[data-work-id=46931979]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46931979,"title":"Investigation on the effect of functionalization of single-walled carbon nanotubes on the mechanical properties of epoxy glass composites: Experimental and molecular dynamics simulation","translated_title":"","metadata":{"doi":"10.1016/j.jmrt.2021.03.104","abstract":"In recent decades, polymer composites are widely used in industry due to their good mechanical\nproperties and their low specific weight. Also, the use of glass fibers and carbon\nnanotubes can strengthen and improve the mechanical performance of the polymer due to\ntheir good mechanical properties. In this study, incorporated glass/epoxy nanocomposite\nwith carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the\neffect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH\nand non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,\nbending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction\n(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and\nmorphology of the fibers. The mechanical properties results showed that the highest elastic\nmodulus and tensile strength are obtained for the sample reinforced with F-SWCNT which\nincreased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained\nresults of the bending test indicate that the highest flexural modulus and the highest flexural\nstrength are related to the sample reinforced with functionalized carbon nanotubes which\nare 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement\nin the epoxy matrix and the failure mechanismwas monitored using SEM images.\nFinally, reinforced epoxy nanocomposites with functionalized and non-functionalized\nSWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement\nwith the trends of experimental results. TheMDobtained results showed that the most\nappropriate mode of dispersion occurs when functionalized carbon nanotubes are used.\nAlso, it was observed that the elastic modulus of incorporated nanocomposites with F-","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"www.sciencedirect.com"},"translated_abstract":"In recent decades, polymer composites are widely used in industry due to their good mechanical\nproperties and their low specific weight. Also, the use of glass fibers and carbon\nnanotubes can strengthen and improve the mechanical performance of the polymer due to\ntheir good mechanical properties. In this study, incorporated glass/epoxy nanocomposite\nwith carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the\neffect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH\nand non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,\nbending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction\n(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and\nmorphology of the fibers. The mechanical properties results showed that the highest elastic\nmodulus and tensile strength are obtained for the sample reinforced with F-SWCNT which\nincreased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained\nresults of the bending test indicate that the highest flexural modulus and the highest flexural\nstrength are related to the sample reinforced with functionalized carbon nanotubes which\nare 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement\nin the epoxy matrix and the failure mechanismwas monitored using SEM images.\nFinally, reinforced epoxy nanocomposites with functionalized and non-functionalized\nSWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement\nwith the trends of experimental results. TheMDobtained results showed that the most\nappropriate mode of dispersion occurs when functionalized carbon nanotubes are used.\nAlso, it was observed that the elastic modulus of incorporated nanocomposites with F-","internal_url":"https://www.academia.edu/46931979/Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation","translated_internal_url":"","created_at":"2021-04-18T10:50:45.401-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":5734988,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":66294720,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66294720/thumbnails/1.jpg","file_name":"1_s2.0_S2238785421003318_main.pdf","download_url":"https://www.academia.edu/attachments/66294720/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_on_the_effect_of_functiona.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66294720/1_s2.0_S2238785421003318_main-libre.pdf?1618770613=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_on_the_effect_of_functiona.pdf\u0026Expires=1734055887\u0026Signature=N9EfiExHx2HqCVKiKnB4pdWrlcWiJJNDDoz7o8TS0A22rSaerM~Pf5Xj3ILsZyH9NLBsLbBNmqr14tqCzcY7wOBnriNGHuvdZVriZ~VYMlLRTz6sqSgA~QxRxvwnq1r-yEEpetJL4qhS94VLhCoEBLN~P-dohi1krFbDRYPVT1FiEVTfII72OSgaRdyeg5gQMi2Rcja7mD67MMj8Ikdxu1sqBiTbRKOuEDi-KvObfU9fHQPvQOa3IUS7QGVCQQdJkG-0pktihoXYI0PyBIYGOrZHaZBMYAA3IWWMvM4Rq8YSbilDFLs1PLU8gfGg6Kh0CA1bAIjSu85KRUrMeimBRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Investigation_on_the_effect_of_functionalization_of_single_walled_carbon_nanotubes_on_the_mechanical_properties_of_epoxy_glass_composites_Experimental_and_molecular_dynamics_simulation","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"In recent decades, polymer composites are widely used in industry due to their good mechanical\nproperties and their low specific weight. Also, the use of glass fibers and carbon\nnanotubes can strengthen and improve the mechanical performance of the polymer due to\ntheir good mechanical properties. In this study, incorporated glass/epoxy nanocomposite\nwith carbon nanotubes (CNT) samples were fabricated using a hand lay-up process, and the\neffect of addition functionalized Single-Walled Carbon Nanotubes (F-SWCNT) with COOH\nand non-functionalized SWCNT was investigated. The tensile strength, elastic modulus,\nbending strength was obtained experimentally using SANTAM-STM50. X-Ray Diffraction\n(XRD) and Scanning Electron Microscopy (SEM) were used to investigate the phase and\nmorphology of the fibers. The mechanical properties results showed that the highest elastic\nmodulus and tensile strength are obtained for the sample reinforced with F-SWCNT which\nincreased by 32% and 10%, respectively in comparison with pure epoxy. Also, the obtained\nresults of the bending test indicate that the highest flexural modulus and the highest flexural\nstrength are related to the sample reinforced with functionalized carbon nanotubes which\nare 16.9 GPa and 381.39 MPa, respectively. Then, the mechanical performance of the reinforcement\nin the epoxy matrix and the failure mechanismwas monitored using SEM images.\nFinally, reinforced epoxy nanocomposites with functionalized and non-functionalized\nSWCNT were simulated using Molecular Dynamics (MD) simulation to examine the agreement\nwith the trends of experimental results. TheMDobtained results showed that the most\nappropriate mode of dispersion occurs when functionalized carbon nanotubes are used.\nAlso, it was observed that the elastic modulus of incorporated nanocomposites with F-","owner":{"id":5734988,"first_name":"Dr. Davood","middle_initials":null,"last_name":"Toghraie","page_name":"DavoodToghraie","domain_name":"iaukhsh","created_at":"2013-09-24T13:52:15.804-07:00","display_name":"Dr. Davood Toghraie","url":"https://iaukhsh.academia.edu/DavoodToghraie"},"attachments":[{"id":66294720,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/66294720/thumbnails/1.jpg","file_name":"1_s2.0_S2238785421003318_main.pdf","download_url":"https://www.academia.edu/attachments/66294720/download_file?st=MTczNDA2MjYxNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Investigation_on_the_effect_of_functiona.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/66294720/1_s2.0_S2238785421003318_main-libre.pdf?1618770613=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_on_the_effect_of_functiona.pdf\u0026Expires=1734055887\u0026Signature=N9EfiExHx2HqCVKiKnB4pdWrlcWiJJNDDoz7o8TS0A22rSaerM~Pf5Xj3ILsZyH9NLBsLbBNmqr14tqCzcY7wOBnriNGHuvdZVriZ~VYMlLRTz6sqSgA~QxRxvwnq1r-yEEpetJL4qhS94VLhCoEBLN~P-dohi1krFbDRYPVT1FiEVTfII72OSgaRdyeg5gQMi2Rcja7mD67MMj8Ikdxu1sqBiTbRKOuEDi-KvObfU9fHQPvQOa3IUS7QGVCQQdJkG-0pktihoXYI0PyBIYGOrZHaZBMYAA3IWWMvM4Rq8YSbilDFLs1PLU8gfGg6Kh0CA1bAIjSu85KRUrMeimBRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "cf67d416c54598992f5993c537c68da263fa3705b1c6a7aa262fb6a6f6812daa", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="p+PbpoE/8tMFLzLAKYadnuTDCM43h/k8a7rsDvw1yy0A/P8d/gRBusr3YR6/5lDPthVsA1nooynLfxcerjMjMw==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://iaukhsh.academia.edu/DavoodToghraie" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="YyeHRTa6xWwpCmzUqJHL4rApMAVpPG2K+0MaAAP4zYrEOKP+SYF2BebSPwo+8Qaz4v9UyAdTN59bhuEQUf4llA==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>