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Application of the Curli method for multi-critical decision of grinding process
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <!-- Google tag (gtag.js) --> <script async src="https://www.googletagmanager.com/gtag/js?id=G-CBMQVF404K"></script> <script> window.dataLayer = window.dataLayer || []; function gtag() { dataLayer.push(arguments); } gtag('js', new Date()); gtag('config', 'G-CBMQVF404K'); </script> <title> Application of the Curli method for multi-critical decision of grinding process </title><link rel="canonical" href="https://scindeks.ceon.rs/article.aspx?artid=1451-41172203634T&lang=sr" /><meta http-equiv="X-UA-Compatible" content="IE=7" /><link rel="shortcut icon" href="favicon.ico" /><link href="css/style.css?c19" rel="stylesheet" type="text/css" /><link href="css/help.css?c7" rel="stylesheet" type="text/css" /><link href="performance/slider/css/ion.rangeSlider.css" rel="stylesheet" type="text/css" /><link href="performance/slider/css/ion.rangeSlider.skinNice.css" rel="stylesheet" type="text/css" /><meta name="citation_year" content="2022" /><meta name="citation_volume" content="20" /><meta name="citation_firstpage" content="634" /><meta name="citation_lastpage" content="643" /><meta name="citation_issue" content="3" /><meta name="citation_issn" content="1451-4117" /><meta name="citation_journal_title" content="Journal of Applied Engineering Science" /><meta property="og:description" content="Journal of Applied Engineering Science" /><meta name="citation_title" content="Application of the Curli method for multi-critical decision of grinding process" /><meta name="citation_abstract" content="In the case of highly precise flat surfaces, surface roughness and flatness tolerance (FL) play virtual roles and directly cause the performance of the parts. In general, both surface roughness and FL are required at the minimum value. Grinding is needed in order to finish the surface. However, sometimes in specific grinding conditions, this could not be achieved. Hence, it is imperative to select the grinding conditions that satisfy both parameters to be considered "minimum". This problem is commonly known as multi-criteria decision making (MCDM). However, choose a method to determine the weights for the criteria sometimes makes the decisionmakers confused because each method of determining the weights finds different sets of the weight values. Along with that, for each method of determining the weight, the ranking results of the alternatives may also be changed. Using an MCDM method without specifying weights for the criteria eliminates this problem. Collaborative Unbiased Rank List integration (CURLI) is one of the multi-criteria decision making methods that do not need to determine the weights for the criteria. In this research, we not only applying CURLI method to multi-criteria decision making, but also developing detailed steps to apply. This work has not been done before even for the authors who proposed it. Using this method for multi-criteria decision-making, the grinding process has determined the abrasive grain size, workpiece velocity, feed rate and depth of cut to ensure that the surface roughness and FL are kept to a minimum." /><meta name="citation_pmid" content="1451-41172203634T" /><meta name="citation_author" content="Trung, Do Duc" /><meta name="citation_author" content="Ba, Nghien Nguyen" /><meta name="citation_author" content="Tien, Dung Hoang" /><meta name="citation_pdf_url" content="https://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2022/1451-41172203634T.pdf" /><meta name="fulltext_pdf" content="https://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2022/1451-41172203634T.pdf" /><meta name="citation_doi" content="10.5937/jaes0-35088" /><meta property="og:image" content="https://scindeks.ceon.rs/images/scindeks-logo_fb_sr.png" /></head> <body> <script type="text/javascript" src="/js/main.js?a10"></script> <script src="/js/jquery-1.8.3.min.js?a9" type="text/javascript"></script> 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style="width:100%"> <div class='cl_doi_cas'><a href=JournalDetails.aspx?issn=1451-4117>Journal of Applied Engineering Science</a></div><div>2022, vol. 20, br. 3, str. 634-643</div> </div> <div class="cl_badges"> <a href='https://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2022/1451-41172203634T.pdf' target='_blank'><img id='imgPDF' class='ftImg' alt='' src='images/ftPDF.png' title='pun tekst u PDF-u' /></a> </div> </div> </td> </tr> <tr id="ctl00_cph1_Details1_ArticleR3Cont"> <td colspan="2"> <div class="cl_nas"> Application of the Curli method for multi-critical decision of grinding process <div id="ctl00_cph1_Details1_TitleNotAvailableLangNote" class="noTitleInLanguage">(naslov ne postoji na srpskom)</div> </div> <div class="cl_nas cl_other_nas hidden"> </div> <div class="cl_aut"> <a href='Related.aspx?artaun=227838'>Trung Do Duc</a><sup>a</sup>, <a href='Related.aspx?artaun=232092'>Ba Nghien Nguyen</a><sup>b</sup>, <a href='Related.aspx?artaun=232093'>Tien Dung Hoang</a><sup>a</sup> </div> <div class="cl_afil"> <sup>a</sup>Hanoi University of Industry, Faculty of Mechanical Engineering, Hanoi city, Vietnam<br /><sup>b</sup>Hanoi University of Industry, Faculty of Information Technology, Vietnam<br /> <br /><span class='boldGrey'>e-adresa</span>: <a href="/cdn-cgi/l/email-protection#e09489858e84958e87a088819589ce858495ce968e"><span class="__cf_email__" data-cfemail="9beff2fef5ffeef5fcdbf3faeef2b5feffeeb5edf5">[email protected]</span></a> </div> <div> </div> <div> <span class='boldGrey'>Klju膷ne re膷i</span>: <a href='Related.aspx?artak=MCDM'>MCDM</a>; Curli method; <a href='Related.aspx?artak=grinding'>grinding</a>; <a href='Related.aspx?artak=Surface+roughness'>Surface roughness</a>; Flatness tolerance </div> <div class="cl_other_kw hidden"> </div> <div> <div class='cl_section'>Sa啪etak</div> <div id="ctl00_cph1_Details1_AbstractNotAvailableLangNote" class="noAbstractInLanguage">(ne postoji na srpskom)</div> <div class='cl_saz cl_saz_ab'>In the case of highly precise flat surfaces, surface roughness and flatness tolerance (FL) play virtual roles and directly cause the performance of the parts. In general, both surface roughness and FL are required at the minimum value. Grinding is needed in order to finish the surface. However, sometimes in specific grinding conditions, this could not be achieved. Hence, it is imperative to select the grinding conditions that satisfy both parameters to be considered "minimum". This problem is commonly known as multi-criteria decision making (MCDM). However, choose a method to determine the weights for the criteria sometimes makes the decisionmakers confused because each method of determining the weights finds different sets of the weight values. Along with that, for each method of determining the weight, the ranking results of the alternatives may also be changed. Using an MCDM method without specifying weights for the criteria eliminates this problem. Collaborative Unbiased Rank List integration (CURLI) is one of the multi-criteria decision making methods that do not need to determine the weights for the criteria. In this research, we not only applying CURLI method to multi-criteria decision making, but also developing detailed steps to apply. This work has not been done before even for the authors who proposed it. Using this method for multi-criteria decision-making, the grinding process has determined the abrasive grain size, workpiece velocity, feed rate and depth of cut to ensure that the surface roughness and FL are kept to a minimum.</div> </div> <div class="cl_other_ab hidden"> <div class='cl_section'>Abstract</div> <div class="cl_saz cl_saz_ab"> </div> </div> </td> </tr> </table> </div> </td> </tr> <tr id="ctl00_cph1_Details1_ReferencesCont"> <td colspan="2"> <table cellspacing="0" style="width:98%;"> <tr> <td> </td> <td> <div class="cl_section cl_section_up">Reference</div> </td> </tr> <tr> <td class="cl_reflink"> <p> <a id="inGS9" href='https://scholar.google.com/scholar_lookup?author=Brauers+K.W.M.&publication_year=2004&title=Optimization+methods+for+a+stakeholder+society:+A+revolution+in+economic+thinking+by+multi-objective+optimization' target='blank' onmouseout="UnTip();" onmouseover="toolTipDynamic('u Google Scholar-u')"> <img src='images/linked/GS.png' class='linkoutImg' /> </a> </p> </td> <td class="cl_ref1"> Brauers, K.W.M. 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(2012) Optimization of Weighted Aggregated Sum Product Assessment. <i>Electronics and Electrical Engineering</i>, 122(6): 3-6 </td> </tr> <tr> <td class="cl_reflink"> </td> <td> </td> </tr> </table> </td> </tr> </table> <div> <div valign="top" style="width: 250px;"> <div class="box"> <div class="naslov"> <h2>O 膷lanku</h2> <div class="clear"></div> </div> <div class="aboutArticle"> <span class='boldGrey'>jezik rada</span>: engleski<br/> <span class='boldGrey'>vrsta rada</span>: izvorni nau膷ni 膷lanak<br/> <span class='boldGrey'>DOI</span>: <a href='https://doi.org/10.5937/jaes0-35088' target='_blank'>10.5937/jaes0-35088</a><br /> <span class='boldGrey'>primljen</span>: 25.01.2021.<br/><span class='boldGrey'>prihva膰en</span>: 08.03.2022.<br/><span class='boldGrey'>objavljen u SCIndeksu</span>: 24.09.2022. <br/><span class='boldGrey'>metod recenzije</span>: dvostruko anoniman<br/> </div> <div id="badges"> <div id='badgeDim'><a href="https://badge.dimensions.ai/details/doi/10.5937/jaes0-35088" target="_blank"><span data-hide-zero-citations="true" data-style="small_circle" class="__dimensions_badge_embed__" data-legend="hover-left" data-doi="10.5937/jaes0-35088"></span></a></div> <div id='badgeAlt' class='altmetric-embed' data-link-target='_blank' data-hide-no-mentions='true' data-badge-type='donut' data-badge-popover="left" data-doi="10.5937/jaes0-35088"></div> <div id='badgeCC'><a rel="license" href="https://creativecommons.org/licenses/by/4.0/" target="_blank"><img title="Creative Commons License 4.0" alt="Creative Commons License 4.0" style="border-width:0; height:35px" src="images/icons/by.png" /></a></div> </div> </div> <div class="box"> <div class="naslov"> <h2>Povezani 膷lanci</h2> <div class="clear"></div> </div> <div class="relatedRecs"> <span>Vojnotehni膷ki glasnik (2022)</span><br/><a href='article.aspx?artid=0042-84692202314T'><span class='boldGrey'>Model DIBR - Fuzzy MARCOS za izbor lokacije za postavljanje te拧kog mehanizovanog mosta</span></a><br/><span>Te拧i膰 Du拧ko Z., i dr.</span><br/><br/><span>Industrija (2023)</span><br/><a href='article.aspx?artid=0350-03732303073S'><span class='boldGrey'>Unapre膽enje poslovnog odlu膷ivanja u IT industriji primenom VKO pristupa</span></a><br/><span>Stanujki膰 Maja, i dr.</span><br/><br/><span>Ekonomika poljoprivrede (2017)</span><br/><a href='article.aspx?artid=0352-34621704355V'><span class='boldGrey'>Pristup vi拧eatributivne procene u proizvodnji povr膰a</span></a><br/><span>Vico Grujica, i dr.</span><br/><br/><span class='sp_l20'><a href='Related.aspx?artrel=1451-41172203634T'>prika啪i sve [16]</a></span><br /> </div> </div> </div> </div> <div id="LinkOutPopup" style="display:none"></div> </div> <script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script type="text/javascript"> //set parameters for AddThis var url = $("#" + 'ctl00_cph1_Details1_fbUrl').val(); var title = $("#" + 'ctl00_cph1_Details1_fbTitle').val(); var description = $("#" + 'ctl00_cph1_Details1_fbDescription').val(); var image = $("#" + 'ctl00_cph1_Details1_fbImage').val(); var addthis_share = { url: url, title: title, description: description, media: image } //hover for full text images $(".ftImg").mouseover(function () { $(this).attr('src', $(this).attr('src').replace(".png","hover.png")); }).mouseleave(function () { $(this).attr('src', $(this).attr('src').replace("hover", "")); }); //show-hide data in other language $("#showHideOther").click(function () { var show = $("#" + 'ctl00_cph1_Details1_ShowOtherTextHiddenField').val(); var hide = $("#" + 'ctl00_cph1_Details1_HideOtherTextHiddenField').val(); var hasOther = $("#" + 'ctl00_cph1_Details1_HasOtherHiddenField').val(); var link = $("#showHideOther"); if (link.text() == show) { link.text(hide); } else { link.text(show); } if (~hasOther.indexOf("t")) { $(".cl_other_nas").toggleClass("hidden") } if (~hasOther.indexOf("k")) { $(".cl_other_kw").toggleClass("hidden") } if (~hasOther.indexOf("a")) { $(".cl_other_ab").toggleClass("hidden") } if ($('#fulltext_container').is(':visible')) { setMenuPositioning(); } }); //log pdf and interactive visits $("#imgHtml").on("click", function () { var htmlOpened = $('#leftHTML').css('display') == "none" ? 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