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Shahbazi</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://modares.academia.edu/">Tarbiat Modares University</a>, <a class="u-tcGrayDarker" href="https://modares.academia.edu/Departments/Mining_Engineering/Documents">Mining Engineering</a>, <span class="u-tcGrayDarker">Department 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="Behzad" data-follow-user-id="53214123" 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" 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</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 Behzad Shahbazi</h3></div><div class="js-work-strip profile--work_container" data-work-id="97946178"><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/97946178/Effect_of_frother_type_and_operational_parameters_on_nano_bubble_flotation_of_quartz_coarse_particles"><img alt="Research paper thumbnail of Effect of frother type and operational parameters on nano bubble flotation of quartz coarse particles" class="work-thumbnail" src="https://attachments.academia-assets.com/99431526/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/97946178/Effect_of_frother_type_and_operational_parameters_on_nano_bubble_flotation_of_quartz_coarse_particles">Effect of frother type and operational parameters on nano bubble flotation of quartz coarse particles</a></div><div class="wp-workCard_item"><span>Journal of Mining and Environment</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, the effects of the types of frother (MIBC, pine oil, and A65) and operational param...</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 effects of the types of frother (MIBC, pine oil, and A65) and operational parameters (impeller speed and air flow rate) on the flotation of quartz coarse particles was investigated using nano bubbles (NBs). Quartz particles of the size of -425+106 mm and three types of frother were used for the flotation experiments. Also the impeller speed was 600 to 1300 rpm, and the air flow rates were 30 and 60 L/h. In the absence of NBs, the maximum recovery was achieved with the pine oil frother, an impeller speed of 1000 rpm, and an air flow rate of 60 L/h. In the presence of NBs, the maximum recovery was achieved using pine oil at an impeller speed of 900 rpm and an air flow rate of 30 L/h. However, increasing the recovery in the presence of NBs, compared to the absence of NBs for MIBC, was more than the other two frothers, and the recovery using this frother to increase up to 25% but using pine oil, the recovery increased up to 23%. The lowest recovery in the presence of N...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3b68fbecd46a04abc343d883a6ee3875" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99431526,"asset_id":97946178,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99431526/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="97946178"><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="97946178"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 97946178; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=97946178]").text(description); $(".js-view-count[data-work-id=97946178]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 97946178; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='97946178']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 97946178, 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: "3b68fbecd46a04abc343d883a6ee3875" } } $('.js-work-strip[data-work-id=97946178]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":97946178,"title":"Effect of frother type and operational parameters on nano bubble flotation of quartz coarse particles","translated_title":"","metadata":{"abstract":"In this work, the effects of the types of frother (MIBC, pine oil, and A65) and operational parameters (impeller speed and air flow rate) on the flotation of quartz coarse particles was investigated using nano bubbles (NBs). Quartz particles of the size of -425+106 mm and three types of frother were used for the flotation experiments. Also the impeller speed was 600 to 1300 rpm, and the air flow rates were 30 and 60 L/h. In the absence of NBs, the maximum recovery was achieved with the pine oil frother, an impeller speed of 1000 rpm, and an air flow rate of 60 L/h. In the presence of NBs, the maximum recovery was achieved using pine oil at an impeller speed of 900 rpm and an air flow rate of 30 L/h. However, increasing the recovery in the presence of NBs, compared to the absence of NBs for MIBC, was more than the other two frothers, and the recovery using this frother to increase up to 25% but using pine oil, the recovery increased up to 23%. 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$(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="81826895"><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/81826895/A_study_on_the_Effect_of_Planned_Behavior_on_Performance_by_Moderating_Role_of_Individual_organization_proportionality_among_Staff_of_Ardabil_University_of_Medical_Sciences"><img alt="Research paper thumbnail of A study on the Effect of Planned Behavior on Performance by Moderating Role of Individual – organization proportionality among Staff of Ardabil University of Medical Sciences" class="work-thumbnail" src="https://attachments.academia-assets.com/87736083/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/81826895/A_study_on_the_Effect_of_Planned_Behavior_on_Performance_by_Moderating_Role_of_Individual_organization_proportionality_among_Staff_of_Ardabil_University_of_Medical_Sciences">A study on the Effect of Planned Behavior on Performance by Moderating Role of Individual – organization proportionality among Staff of Ardabil University of Medical Sciences</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The purpose of the present study is to study the effect of planned behavior on performance by the...</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 purpose of the present study is to study the effect of planned behavior on performance by the moderating role of individual‐organization proportionality among staff of Ardabil University of Medical Sciences. The study is an applied one in the purpose, and so descriptive and correlative method, and the research method is field one in data collection. The statistical population of this study includes all staff of Ardabil University of Medical Sciences, 601 employees. Morgan table was used to determine the staff sample size and 234 persons were selected by simple random sampling. For measuring variables, Ahmad Tabatabai et al.&#39;s Planned Behavior Questionnaire (2008), Scruggines&#39; Individual‐ propor onality Inventory (2008), and Hersey & Gold Smith&#39;s Organizational Performance Ques onnaire (2008, quoted by Asadi, 2008) were used. Data were analyzed by using SMART PLS software and structural equations were used to analyze the research hypothesis. The findings show that ind...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="252c04665afe880f936ce7dbceee2b48" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87736083,"asset_id":81826895,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87736083/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="81826895"><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="81826895"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81826895; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81826895]").text(description); $(".js-view-count[data-work-id=81826895]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81826895; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81826895']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81826895, 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: "252c04665afe880f936ce7dbceee2b48" } } $('.js-work-strip[data-work-id=81826895]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81826895,"title":"A study on the Effect of Planned Behavior on Performance by Moderating Role of Individual – organization proportionality among Staff of Ardabil University of Medical Sciences","translated_title":"","metadata":{"abstract":"The purpose of the present study is to study the effect of planned behavior on performance by the moderating role of individual‐organization proportionality among staff of Ardabil University of Medical Sciences. The study is an applied one in the purpose, and so descriptive and correlative method, and the research method is field one in data collection. The statistical population of this study includes all staff of Ardabil University of Medical Sciences, 601 employees. Morgan table was used to determine the staff sample size and 234 persons were selected by simple random sampling. For measuring variables, Ahmad Tabatabai et al.\u0026#39;s Planned Behavior Questionnaire (2008), Scruggines\u0026#39; Individual‐ propor onality Inventory (2008), and Hersey \u0026 Gold Smith\u0026#39;s Organizational Performance Ques onnaire (2008, quoted by Asadi, 2008) were used. Data were analyzed by using SMART PLS software and structural equations were used to analyze the research hypothesis. The findings show that ind...","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"The purpose of the present study is to study the effect of planned behavior on performance by the moderating role of individual‐organization proportionality among staff of Ardabil University of Medical Sciences. The study is an applied one in the purpose, and so descriptive and correlative method, and the research method is field one in data collection. The statistical population of this study includes all staff of Ardabil University of Medical Sciences, 601 employees. Morgan table was used to determine the staff sample size and 234 persons were selected by simple random sampling. For measuring variables, Ahmad Tabatabai et al.\u0026#39;s Planned Behavior Questionnaire (2008), Scruggines\u0026#39; Individual‐ propor onality Inventory (2008), and Hersey \u0026 Gold Smith\u0026#39;s Organizational Performance Ques onnaire (2008, quoted by Asadi, 2008) were used. 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$(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="81826874"><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/81826874/Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity"><img alt="Research paper thumbnail of Preparation and characterization of Pistacia khinjuk gum nanoparticles using Response Surface Method: evaluation of its anti-bacterial performance and cytotoxicity" class="work-thumbnail" src="https://attachments.academia-assets.com/87736073/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/81826874/Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity">Preparation and characterization of Pistacia khinjuk gum nanoparticles using Response Surface Method: evaluation of its anti-bacterial performance and cytotoxicity</a></div><div class="wp-workCard_item"><span>Advanced Pharmaceutical Bulletin</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d81449ca563e92130c276faa0c0efbb3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87736073,"asset_id":81826874,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87736073/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="81826874"><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="81826874"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81826874; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81826874]").text(description); $(".js-view-count[data-work-id=81826874]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81826874; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81826874']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81826874, 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); 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Methods: Pistacia khinjuk gum NPs were prepared and Response surface methodology (RSM) was used for statistical analysis of data and optimizing the size of NPs. Results: NPs were in the range of 75.85-241.3 nm. The optimization study was carried out, and an optimized size (70.86nm) was obtained using DMSO as a solvent. The volume of the organic phase was 111.25µl, and the concentration of gum was 1% w/v. The cell viability assay was performed on the pure gum and NPs toward β-TC 3 , MCF7, and HT29 cell lines. It was observed that NPs have higher cytotoxic activity in comparison with pure gum, and that the IC 50 value was achieved at 1% of NPs in β-TC 3 cells. The obtained NPs demonstrated antibacterial activity against two bacterial strains (Pseudomonas aeruginosa and Staphylococcus aureus). Conclusion: Altogether, according to the obtained results, these NPs with inherent cytotoxicity and antibacterial activity are an attractive carrier for drug delivery.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Advanced Pharmaceutical Bulletin","grobid_abstract_attachment_id":87736073},"translated_abstract":null,"internal_url":"https://www.academia.edu/81826874/Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity","translated_internal_url":"","created_at":"2022-06-19T08:06:44.001-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":87736073,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736073/thumbnails/1.jpg","file_name":"f445a570baf3ac20022e9f01fbc2e17c2aec.pdf","download_url":"https://www.academia.edu/attachments/87736073/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Preparation_and_characterization_of_Pist.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736073/f445a570baf3ac20022e9f01fbc2e17c2aec-libre.pdf?1655653779=\u0026response-content-disposition=attachment%3B+filename%3DPreparation_and_characterization_of_Pist.pdf\u0026Expires=1733199951\u0026Signature=OIj6~4au33jY4ZC~LSwe6QX0nHPz80scZRDfYBogwCNI95QYOgqnSyW8DBzCigB8iQVCI-g5tWAR1hSNCEJyO5pjD25n9QzWBK81MVEVtx3kCosQ4XSpJYZICSdbQZHe878sr3Qqsv0HWFZTlJCLTrae9e56JR~uFOVijmHi8dY6KAV61MOTWpz0rC87pY1fl26XsbhLMQViVS2NDCkbsPsdVsV0sr8pMymPf-u1voNxmZZ6BAqi-oWEbafQFEGFqBV5feIcKPG3EgO8oGB0qWZAjqfl5WFNdAN1~ZjgtjEF3VAm-HfEgEOwe2R1byyhmneWJZ8Ca4bSoxNUQSS7Bw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":87736073,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736073/thumbnails/1.jpg","file_name":"f445a570baf3ac20022e9f01fbc2e17c2aec.pdf","download_url":"https://www.academia.edu/attachments/87736073/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Preparation_and_characterization_of_Pist.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736073/f445a570baf3ac20022e9f01fbc2e17c2aec-libre.pdf?1655653779=\u0026response-content-disposition=attachment%3B+filename%3DPreparation_and_characterization_of_Pist.pdf\u0026Expires=1733199951\u0026Signature=OIj6~4au33jY4ZC~LSwe6QX0nHPz80scZRDfYBogwCNI95QYOgqnSyW8DBzCigB8iQVCI-g5tWAR1hSNCEJyO5pjD25n9QzWBK81MVEVtx3kCosQ4XSpJYZICSdbQZHe878sr3Qqsv0HWFZTlJCLTrae9e56JR~uFOVijmHi8dY6KAV61MOTWpz0rC87pY1fl26XsbhLMQViVS2NDCkbsPsdVsV0sr8pMymPf-u1voNxmZZ6BAqi-oWEbafQFEGFqBV5feIcKPG3EgO8oGB0qWZAjqfl5WFNdAN1~ZjgtjEF3VAm-HfEgEOwe2R1byyhmneWJZ8Ca4bSoxNUQSS7Bw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"}],"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="81826814"><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/81826814/Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions"><img alt="Research paper thumbnail of Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions" class="work-thumbnail" src="https://attachments.academia-assets.com/87736034/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/81826814/Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions">Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions</a></div><div class="wp-workCard_item"><span>International Journal of Coal Science & Technology</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cabf4db6a768e4fbf6e5209002cfcd36" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87736034,"asset_id":81826814,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87736034/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="81826814"><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="81826814"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81826814; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81826814]").text(description); $(".js-view-count[data-work-id=81826814]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81826814; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81826814']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81826814, 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: "cabf4db6a768e4fbf6e5209002cfcd36" } } $('.js-work-strip[data-work-id=81826814]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81826814,"title":"Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions","translated_title":"","metadata":{"publisher":"Springer Nature","grobid_abstract":"Flotation is a complex multifaceted process that is widely used for the separation of finely ground minerals. The theory of froth flotation is complex and is not completely understood. This fact has been brought many monitoring challenges in a coal processing plant. To solve those challenges, it is important to understand the effect of different parameters on the fine particle separation, and control flotation performance for a particular system. This study is going to indicate the effect of various parameters (particle characteristics and hydrodynamic conditions) on coal flotation responses (flotation rate constant and recovery) by different modeling techniques. A comprehensive coal flotation database was prepared for the statistical and soft computing methods. Statistical factors were used for variable selections. Results were in a good agreement with recent theoretical flotation investigations. Computational models accurately can estimate flotation rate constant and coal recovery (correlation coefficient 0.85, and 0.99, respectively). According to the results, it can be concluded that the soft computing models can overcome the complexity of process and be used as an expert system to control, and optimize parameters of coal flotation process.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"International Journal of Coal Science \u0026 Technology","grobid_abstract_attachment_id":87736034},"translated_abstract":null,"internal_url":"https://www.academia.edu/81826814/Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions","translated_internal_url":"","created_at":"2022-06-19T08:06:05.342-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":87736034,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736034/thumbnails/1.jpg","file_name":"s40789-016-0147-9.pdf","download_url":"https://www.academia.edu/attachments/87736034/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Modeling_of_fine_coal_flotation_separati.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736034/s40789-016-0147-9-libre.pdf?1655653786=\u0026response-content-disposition=attachment%3B+filename%3DModeling_of_fine_coal_flotation_separati.pdf\u0026Expires=1733199951\u0026Signature=B9c64dvvlS4obMr7QyDxTmqBPXtiTYMZWWtzRuRq-38HAvDEFh4khkZIpEKiDlfdRNh1EBY7YOvnwa~6xGnDyEQlicRKT~25MOND9xV8a6EJhnxTFNnC02dKIN-ENDBIEW14JkYW0cukTD294Lbj3n3gekcJHYS17q7rQi3jSsE1XyVltWMeSQJ4uLhlct3bChdFECwxZnJ2ITFiniRcswkWWTZqQtnbU3z6wwxCcxBukv4BUDTDJPmjlxxgvzPgKF0OCUDJcAy5u4Ud9MM4FIxHtp2LM-I1wVJeTqlAqORt3wrGbVvTlgCdK3YA8Tv9Noc2-QFL0FB61f1uZYC~fA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":87736034,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736034/thumbnails/1.jpg","file_name":"s40789-016-0147-9.pdf","download_url":"https://www.academia.edu/attachments/87736034/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Modeling_of_fine_coal_flotation_separati.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736034/s40789-016-0147-9-libre.pdf?1655653786=\u0026response-content-disposition=attachment%3B+filename%3DModeling_of_fine_coal_flotation_separati.pdf\u0026Expires=1733199951\u0026Signature=B9c64dvvlS4obMr7QyDxTmqBPXtiTYMZWWtzRuRq-38HAvDEFh4khkZIpEKiDlfdRNh1EBY7YOvnwa~6xGnDyEQlicRKT~25MOND9xV8a6EJhnxTFNnC02dKIN-ENDBIEW14JkYW0cukTD294Lbj3n3gekcJHYS17q7rQi3jSsE1XyVltWMeSQJ4uLhlct3bChdFECwxZnJ2ITFiniRcswkWWTZqQtnbU3z6wwxCcxBukv4BUDTDJPmjlxxgvzPgKF0OCUDJcAy5u4Ud9MM4FIxHtp2LM-I1wVJeTqlAqORt3wrGbVvTlgCdK3YA8Tv9Noc2-QFL0FB61f1uZYC~fA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":10743,"name":"Coal","url":"https://www.academia.edu/Documents/in/Coal"}],"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="70829067"><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/70829067/Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles"><img alt="Research paper thumbnail of Effect of Frother on Bubble-Particle Collision Probability of Fine Particles" class="work-thumbnail" src="https://attachments.academia-assets.com/80413077/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/70829067/Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles">Effect of Frother on Bubble-Particle Collision Probability of Fine Particles</a></div><div class="wp-workCard_item"><span>American Journal of Chemical Engineering</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0c39aa110a599e068195486fef192644" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413077,"asset_id":70829067,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413077/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829067"><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="70829067"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829067; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0c39aa110a599e068195486fef192644" } } $('.js-work-strip[data-work-id=70829067]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829067,"title":"Effect of Frother on Bubble-Particle Collision Probability of Fine Particles","translated_title":"","metadata":{"publisher":"Science Publishing Group","grobid_abstract":"The frothers are influence on the ability of bubbles to collect particles from the pulp and carry them to the froth layer. In this study the effect of type and dosage of frothers on bubble-particle collision probability and dispersion of fine particles was investigated. Therefore, collision probability of fine particles was calculated using frothers such as MIBC, Pine Oil, and Poly propylene glycol with concentration of 0, 25, 50 and 75 g/t respectively. According to this study, as the particle size increased the probability of collision increased but with using Poly Propylene Glycol, MIBC and Pine Oil, probability of collision increased, respectively. Under Potential flow conditions, Maximum collision probability was obtained 27.27% with Poly Propylene Glycol dosage of 75 g/t and particle size of 50 µm.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"American Journal of Chemical Engineering","grobid_abstract_attachment_id":80413077},"translated_abstract":null,"internal_url":"https://www.academia.edu/70829067/Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles","translated_internal_url":"","created_at":"2022-02-07T02:43:16.321-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413077,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413077/thumbnails/1.jpg","file_name":"10.11648.j.ajche.s.2015030202.11.pdf","download_url":"https://www.academia.edu/attachments/80413077/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effect_of_Frother_on_Bubble_Particle_Col.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413077/10.11648.j.ajche.s.2015030202.11-libre.pdf?1644231075=\u0026response-content-disposition=attachment%3B+filename%3DEffect_of_Frother_on_Bubble_Particle_Col.pdf\u0026Expires=1733199951\u0026Signature=g1Yp8bZhOLeOLkeG3zU0v~AWHO6w9UoVvmZiTstNY2lCPbH1csrGLlsVFUSe0sPIIterlzCcErncKB5ysJhJ0895Oa7meps~lhILHrdS7p3uIX2x-rTnEVn4enUHVrux4TiQWceMY05ugENYTeO~NDcX8yql1y2RaBHmA0CDLTfwUiKp9EWcKQmgZLg5YjchfR2uXIWlHHvjyl67~s2J983POehWEZU0AGWwKnyOpLvAMcBuvbxeIvGQnBNOOCnIvZFgaQhaOAgr7eUznz30Fgz6OJM4S7MtccTYihOk5Mqcd05hvwHX6PbYKnUUudGQWFT~vbXzj3oJLW0fALvHhg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413077,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413077/thumbnails/1.jpg","file_name":"10.11648.j.ajche.s.2015030202.11.pdf","download_url":"https://www.academia.edu/attachments/80413077/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effect_of_Frother_on_Bubble_Particle_Col.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413077/10.11648.j.ajche.s.2015030202.11-libre.pdf?1644231075=\u0026response-content-disposition=attachment%3B+filename%3DEffect_of_Frother_on_Bubble_Particle_Col.pdf\u0026Expires=1733199951\u0026Signature=g1Yp8bZhOLeOLkeG3zU0v~AWHO6w9UoVvmZiTstNY2lCPbH1csrGLlsVFUSe0sPIIterlzCcErncKB5ysJhJ0895Oa7meps~lhILHrdS7p3uIX2x-rTnEVn4enUHVrux4TiQWceMY05ugENYTeO~NDcX8yql1y2RaBHmA0CDLTfwUiKp9EWcKQmgZLg5YjchfR2uXIWlHHvjyl67~s2J983POehWEZU0AGWwKnyOpLvAMcBuvbxeIvGQnBNOOCnIvZFgaQhaOAgr7eUznz30Fgz6OJM4S7MtccTYihOk5Mqcd05hvwHX6PbYKnUUudGQWFT~vbXzj3oJLW0fALvHhg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":80413076,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413076/thumbnails/1.jpg","file_name":"10.11648.j.ajche.s.2015030202.11.pdf","download_url":"https://www.academia.edu/attachments/80413076/download_file","bulk_download_file_name":"Effect_of_Frother_on_Bubble_Particle_Col.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413076/10.11648.j.ajche.s.2015030202.11-libre.pdf?1644231075=\u0026response-content-disposition=attachment%3B+filename%3DEffect_of_Frother_on_Bubble_Particle_Col.pdf\u0026Expires=1733199951\u0026Signature=Z3PMuzVH6OQziwBgYgWPWwAHuri57JZGFEhDf1gM4Ifz1XnmcOobmkLQKMQdqXOtL28vJeljLHGLfbxeMdiS2~L83qXq1YFM7lBHqSDYg1B-D2D4RtO2zXX-xUd2gczUw-WAwYUrbgl0SR60d4VpXe1S4ZjyHV1Ip-6504hVNH1jaUzCP5AGRW4NVEpp4y~YG-NdDP6XEIsVdVQSUeoviKbG~bXQDQNDjbKWs4jG2gtYxhqRnbVyc8Ygzog-Bc9N5GP76HJ~aTmoCynCGKrq8N5g5BScIkN~3ns6okJ9blu1FONtW8lQjPyAH~TP8Vsj2APm-FU-Af7h70~euwzEOQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":57608,"name":"Dispersion","url":"https://www.academia.edu/Documents/in/Dispersion"},{"id":171868,"name":"COLLISION","url":"https://www.academia.edu/Documents/in/COLLISION"}],"urls":[{"id":17419460,"url":"http://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.s.2015030202.11.pdf"}]}, 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="70829059"><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/70829059/The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells"><img alt="Research paper thumbnail of The Empirical Prediction of Gas Dispersion Parameters on Mechanical Flotation Cells" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829059/The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells">The Empirical Prediction of Gas Dispersion Parameters on Mechanical Flotation Cells</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area 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">Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area flux ( b) and input power ( ) are effective parameters on flotation performance. During the last 10 years, some investigations have been carried out to measure these parameters in mechanical flotation cells. In this research, some models are created to estimate gas dispersion properties and input power by experimental data. Variables of models are impeller peripheral speed ( S P sN), superficial gas velocity ( gJ) and pulp density ( ) and final form of models are dP J0.486 0.01232 1041 exp 710s g dd N P</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829059"><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="70829059"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829059; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829059]").text(description); $(".js-view-count[data-work-id=70829059]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829059; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829059']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829059, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829059]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829059,"title":"The Empirical Prediction of Gas Dispersion Parameters on Mechanical Flotation Cells","translated_title":"","metadata":{"abstract":"Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area flux ( b) and input power ( ) are effective parameters on flotation performance. During the last 10 years, some investigations have been carried out to measure these parameters in mechanical flotation cells. In this research, some models are created to estimate gas dispersion properties and input power by experimental data. Variables of models are impeller peripheral speed ( S P sN), superficial gas velocity ( gJ) and pulp density ( ) and final form of models are dP J0.486 0.01232 1041 exp 710s g dd N P","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area flux ( b) and input power ( ) are effective parameters on flotation performance. During the last 10 years, some investigations have been carried out to measure these parameters in mechanical flotation cells. In this research, some models are created to estimate gas dispersion properties and input power by experimental data. Variables of models are impeller peripheral speed ( S P sN), superficial gas velocity ( gJ) and pulp density ( ) and final form of models are dP J0.486 0.01232 1041 exp 710s g dd N P","internal_url":"https://www.academia.edu/70829059/The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells","translated_internal_url":"","created_at":"2022-02-07T02:43:12.070-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":39857,"name":"Molecular Imaging","url":"https://www.academia.edu/Documents/in/Molecular_Imaging"},{"id":1523721,"name":"Gas dispersion","url":"https://www.academia.edu/Documents/in/Gas_dispersion"},{"id":3640348,"name":"Input Power","url":"https://www.academia.edu/Documents/in/Input_Power"}],"urls":[{"id":17419458,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.976.2288\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="70829056"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/70829056/The_Effect_of_Hydrodynamic_Parameters_in_Coarse_Particles_Flotation"><img alt="Research paper thumbnail of The Effect of Hydrodynamic Parameters in Coarse Particles Flotation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/70829056/The_Effect_of_Hydrodynamic_Parameters_in_Coarse_Particles_Flotation">The Effect of Hydrodynamic Parameters in Coarse Particles Flotation</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="70829056"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="70829056"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829056; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829056]").text(description); $(".js-view-count[data-work-id=70829056]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829056; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829056']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829056, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829056]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829056,"title":"The Effect of Hydrodynamic Parameters in Coarse Particles Flotation","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/70829056/The_Effect_of_Hydrodynamic_Parameters_in_Coarse_Particles_Flotation","translated_internal_url":"","created_at":"2022-02-07T02:43:09.498-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_Effect_of_Hydrodynamic_Parameters_in_Coarse_Particles_Flotation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"}],"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="70829050"><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/70829050/The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles"><img alt="Research paper thumbnail of The Effect of Bubble Surface Area Flux on Flotation Efficiency of Pyrite Particles" class="work-thumbnail" src="https://attachments.academia-assets.com/80413070/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/70829050/The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles">The Effect of Bubble Surface Area Flux on Flotation Efficiency of Pyrite Particles</a></div><div class="wp-workCard_item"><span>Iranian Journal of Chemistry & Chemical Engineering-international English Edition</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this research, the effect of bubble surface area flux, S b, and particle size on flotation rat...</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 effect of bubble surface area flux, S b, and particle size on flotation rate constant, k, of pyrite (FeS 2) particles was studied using bubble-particle interactions. The bubble-particle collision, attachment and detachment efficiencies were calculated under different flow regimes. The k increased with increase in the collision efficiency and decrease in the detachment efficiency. Also the bubble-particle collection efficiency increased with increase in the Sb. Thus difficulty in the floating of fine particles was attributed to low efficiency of the bubble-particle collision efficiency while difficulty in the floating of coarse particles was due to high efficiency of bubble-particle detachment. Maximum collision, attachment and detachment efficiencies were obtained as 81.57%, 50.60% and 51.89%, respectively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7153208213f97a362582bc62c8783163" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413070,"asset_id":70829050,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413070/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829050"><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="70829050"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829050; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829050]").text(description); $(".js-view-count[data-work-id=70829050]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829050; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829050']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829050, 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: "7153208213f97a362582bc62c8783163" } } $('.js-work-strip[data-work-id=70829050]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829050,"title":"The Effect of Bubble Surface Area Flux on Flotation Efficiency of Pyrite Particles","translated_title":"","metadata":{"abstract":"In this research, the effect of bubble surface area flux, S b, and particle size on flotation rate constant, k, of pyrite (FeS 2) particles was studied using bubble-particle interactions. The bubble-particle collision, attachment and detachment efficiencies were calculated under different flow regimes. The k increased with increase in the collision efficiency and decrease in the detachment efficiency. Also the bubble-particle collection efficiency increased with increase in the Sb. Thus difficulty in the floating of fine particles was attributed to low efficiency of the bubble-particle collision efficiency while difficulty in the floating of coarse particles was due to high efficiency of bubble-particle detachment. Maximum collision, attachment and detachment efficiencies were obtained as 81.57%, 50.60% and 51.89%, respectively.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Iranian Journal of Chemistry \u0026 Chemical Engineering-international English Edition"},"translated_abstract":"In this research, the effect of bubble surface area flux, S b, and particle size on flotation rate constant, k, of pyrite (FeS 2) particles was studied using bubble-particle interactions. The bubble-particle collision, attachment and detachment efficiencies were calculated under different flow regimes. The k increased with increase in the collision efficiency and decrease in the detachment efficiency. Also the bubble-particle collection efficiency increased with increase in the Sb. Thus difficulty in the floating of fine particles was attributed to low efficiency of the bubble-particle collision efficiency while difficulty in the floating of coarse particles was due to high efficiency of bubble-particle detachment. Maximum collision, attachment and detachment efficiencies were obtained as 81.57%, 50.60% and 51.89%, respectively.","internal_url":"https://www.academia.edu/70829050/The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles","translated_internal_url":"","created_at":"2022-02-07T02:43:05.798-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413070,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413070/thumbnails/1.jpg","file_name":"article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf","download_url":"https://www.academia.edu/attachments/80413070/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Bubble_Surface_Area_Flux_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413070/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Bubble_Surface_Area_Flux_o.pdf\u0026Expires=1733199951\u0026Signature=eKIFD~VT-s9QlF35IdijF19cuInN4VU~~LIzc--2OPPQl7n1XowiMD69rHy5ZBHwunlvkxLvkKJ9W1C~yWD7b3WbvxffFW6mNAfzplDAj379K8MUToc8YcqGoOQbWHAAHyx4m45ABKtnHRXo17Cea1PHW-KbOO3ribr1MtVs8w3o~LV54MJWlxqF-EtAUPfQgAqCddeITsa7eVvpM0mLDSpzGNaeyro7GtvXy6PpfYVTTCpPyn1SUSrm9Zkov1SIy89Z6HjYzDjWorupI1ZIe8v-2~H~y4kcWR9hwFot1qXFBCrFGfddnlQ8UBLyTzARrlRSh48d0IHtPbacdYDL6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413070,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413070/thumbnails/1.jpg","file_name":"article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf","download_url":"https://www.academia.edu/attachments/80413070/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Bubble_Surface_Area_Flux_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413070/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Bubble_Surface_Area_Flux_o.pdf\u0026Expires=1733199951\u0026Signature=eKIFD~VT-s9QlF35IdijF19cuInN4VU~~LIzc--2OPPQl7n1XowiMD69rHy5ZBHwunlvkxLvkKJ9W1C~yWD7b3WbvxffFW6mNAfzplDAj379K8MUToc8YcqGoOQbWHAAHyx4m45ABKtnHRXo17Cea1PHW-KbOO3ribr1MtVs8w3o~LV54MJWlxqF-EtAUPfQgAqCddeITsa7eVvpM0mLDSpzGNaeyro7GtvXy6PpfYVTTCpPyn1SUSrm9Zkov1SIy89Z6HjYzDjWorupI1ZIe8v-2~H~y4kcWR9hwFot1qXFBCrFGfddnlQ8UBLyTzARrlRSh48d0IHtPbacdYDL6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":80413069,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413069/thumbnails/1.jpg","file_name":"article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf","download_url":"https://www.academia.edu/attachments/80413069/download_file","bulk_download_file_name":"The_Effect_of_Bubble_Surface_Area_Flux_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413069/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Bubble_Surface_Area_Flux_o.pdf\u0026Expires=1733199951\u0026Signature=Cvzo3G~mD8dHp9-6xoercyGvNSeERB2bfmLuw3XClzS4kyQDC0riGYDJfhktqy9GpNJO6axb~LE0KBYciGEhQiVF3fl54rVF5a7~pJB~kbRxXAm9jAl-XyHAYCRNwz7BefnTScMdgK0o1rFf0iXytW7gBGvDOsYmEwsz85L1EMMptbRsH3JT0Fz0oAfstvrpNXPopSkxyTMGYKbT5jNS015z~BCCh8eNemXym~xH4P-nVVMizvBu5esS~yLQKr-k~R3f38zZSuefC83tEgXxy4R6PNjhHEvciPAUp4Mj9HTxLhnaCZXXNlXazUeNc7mJt-E7Iecvb-wypwI4rnBT8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":91031,"name":"Attachment","url":"https://www.academia.edu/Documents/in/Attachment"},{"id":171868,"name":"COLLISION","url":"https://www.academia.edu/Documents/in/COLLISION"}],"urls":[{"id":17419454,"url":"http://www.ijcce.ac.ir/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf"}]}, 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="70829043"><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/70829043/Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation"><img alt="Research paper thumbnail of Effect of Dimensionless Hydrodynamic Parameters on Coarse Particles Flotation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829043/Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation">Effect of Dimensionless Hydrodynamic Parameters on Coarse Particles Flotation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The upper particle size is an important parameter inflotation operation and the sharp decrease 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 upper particle size is an important parameter inflotation operation and the sharp decrease of flotation responsewhen particle size approaches such a limit is well knownphenomenon. Nowadays, particle size is often measured andcontrolled in flotation concentrators. In this study the depen-dence of the dimensionless hydrodynamic parameters(Reynolds Number-Re, Froude Number-Fr and Weber Number-We) on the particle size variation was investigated on thequartz particles using laboratory mechanical flotation cell.Maximum flotation response was observed at Re = 89800, Fr= 2.4 and We = 1558. For either more quiescent (Re 106200 and Fr &gt;3.35) conditions, flotation recovery decreased steadily.Under more quiescent hydrodynamic conditions, the lowerrecovery was due to the fact that the impeller was not capableof keeping particles in suspension properly whereas undermore turbulent conditions the disruption of particle/bubbleaggregate was intensively observed. Furthermore, amount ofcollision...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829043"><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="70829043"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829043; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829043]").text(description); $(".js-view-count[data-work-id=70829043]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829043; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829043']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829043, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829043]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829043,"title":"Effect of Dimensionless Hydrodynamic Parameters on Coarse Particles Flotation","translated_title":"","metadata":{"abstract":"The upper particle size is an important parameter inflotation operation and the sharp decrease of flotation responsewhen particle size approaches such a limit is well knownphenomenon. Nowadays, particle size is often measured andcontrolled in flotation concentrators. In this study the depen-dence of the dimensionless hydrodynamic parameters(Reynolds Number-Re, Froude Number-Fr and Weber Number-We) on the particle size variation was investigated on thequartz particles using laboratory mechanical flotation cell.Maximum flotation response was observed at Re = 89800, Fr= 2.4 and We = 1558. For either more quiescent (Re 106200 and Fr \u0026gt;3.35) conditions, flotation recovery decreased steadily.Under more quiescent hydrodynamic conditions, the lowerrecovery was due to the fact that the impeller was not capableof keeping particles in suspension properly whereas undermore turbulent conditions the disruption of particle/bubbleaggregate was intensively observed. Furthermore, amount ofcollision...","publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":"The upper particle size is an important parameter inflotation operation and the sharp decrease of flotation responsewhen particle size approaches such a limit is well knownphenomenon. Nowadays, particle size is often measured andcontrolled in flotation concentrators. In this study the depen-dence of the dimensionless hydrodynamic parameters(Reynolds Number-Re, Froude Number-Fr and Weber Number-We) on the particle size variation was investigated on thequartz particles using laboratory mechanical flotation cell.Maximum flotation response was observed at Re = 89800, Fr= 2.4 and We = 1558. For either more quiescent (Re 106200 and Fr \u0026gt;3.35) conditions, flotation recovery decreased steadily.Under more quiescent hydrodynamic conditions, the lowerrecovery was due to the fact that the impeller was not capableof keeping particles in suspension properly whereas undermore turbulent conditions the disruption of particle/bubbleaggregate was intensively observed. Furthermore, amount ofcollision...","internal_url":"https://www.academia.edu/70829043/Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation","translated_internal_url":"","created_at":"2022-02-07T02:43:03.056-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":530,"name":"Inorganic Chemistry","url":"https://www.academia.edu/Documents/in/Inorganic_Chemistry"}],"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="70829040"><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/70829040/Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method"><img alt="Research paper thumbnail of Mercury Removal from Sea Sediments Using Electrokinetics Method" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829040/Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method">Mercury Removal from Sea Sediments Using Electrokinetics Method</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of the present work was to discover the efficient variants to remove mercury and its toxi...</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 aim of the present work was to discover the efficient variants to remove mercury and its toxic compositions from contaminated regions around Bandar Imam Petrochemical Complex (in Persian Gulf) by which the environment and human health will be safe. Analysis for cleaning was done by electrokinetics method. According to aforementioned goal, the following problems were posed: • To study and analyze cleaning methods and efficiency of different types of soil contaminated with mercury. • To determine such expedient tension of power which is used in electrokinetics method by which it will be possible to reach the maximum efficiency. • To reveal such expedient compound of solutions which is used in electrokinetics method during electrolysis by which it will be possible to reach the maximum efficiency. • To discover all the preventing factors which result in the decrease of the efficiency of cleaning processes. Also to discover all the optimal factors which result in the increase of the ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829040"><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="70829040"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829040; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829040]").text(description); $(".js-view-count[data-work-id=70829040]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829040; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829040']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829040, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829040]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829040,"title":"Mercury Removal from Sea Sediments Using Electrokinetics Method","translated_title":"","metadata":{"abstract":"The aim of the present work was to discover the efficient variants to remove mercury and its toxic compositions from contaminated regions around Bandar Imam Petrochemical Complex (in Persian Gulf) by which the environment and human health will be safe. Analysis for cleaning was done by electrokinetics method. According to aforementioned goal, the following problems were posed: • To study and analyze cleaning methods and efficiency of different types of soil contaminated with mercury. • To determine such expedient tension of power which is used in electrokinetics method by which it will be possible to reach the maximum efficiency. • To reveal such expedient compound of solutions which is used in electrokinetics method during electrolysis by which it will be possible to reach the maximum efficiency. • To discover all the preventing factors which result in the decrease of the efficiency of cleaning processes. Also to discover all the optimal factors which result in the increase of the ...","publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":"The aim of the present work was to discover the efficient variants to remove mercury and its toxic compositions from contaminated regions around Bandar Imam Petrochemical Complex (in Persian Gulf) by which the environment and human health will be safe. Analysis for cleaning was done by electrokinetics method. According to aforementioned goal, the following problems were posed: • To study and analyze cleaning methods and efficiency of different types of soil contaminated with mercury. • To determine such expedient tension of power which is used in electrokinetics method by which it will be possible to reach the maximum efficiency. • To reveal such expedient compound of solutions which is used in electrokinetics method during electrolysis by which it will be possible to reach the maximum efficiency. • To discover all the preventing factors which result in the decrease of the efficiency of cleaning processes. Also to discover all the optimal factors which result in the increase of the ...","internal_url":"https://www.academia.edu/70829040/Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method","translated_internal_url":"","created_at":"2022-02-07T02:43:00.103-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"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="70829032"><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/70829032/The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation"><img alt="Research paper thumbnail of The Effect of Type and Dosage of Frothers on Coarse Particles Flotation" class="work-thumbnail" src="https://attachments.academia-assets.com/80413063/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/70829032/The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation">The Effect of Type and Dosage of Frothers on Coarse Particles Flotation</a></div><div class="wp-workCard_item"><span>Iranian Journal of Chemistry & Chemical Engineering-international English Edition</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Frothers have a profound effect on bubble size and also flotation efficiency. In present study th...</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">Frothers have a profound effect on bubble size and also flotation efficiency. In present study the effect of type and dosage of frothers on the flotation response of coarse particles of quartz was investigated. Therefore, flotation response of coarse particles using frothers such as MIBC, pine oil, poly propylene glycol with concentration of 0, 25, 50 and 75 g/t, was obtained respectively. For all used frothers, maximum recovery was obtained around frother dosage of 25 g/t and with increasing frother dosage, flotation recovery decreased. With increasing frother dosage, bubble diameter, d32, decreased and when Poly Propylene Glycol, MIBC and Pine Oil were used as frother, bubble diameter increased. Maximum bubble diameter was obtained around Pine Oil and frother dosage of 25 g/t and minimum bubble diameter was obtained around Poly Propylene Glycol and frother dosage of 75 g/t. As the particle size increased, the probability of collision increased and with using Poly Propylene Glycol,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c004bd65b57bda2a0b2e342d80a68ccd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413063,"asset_id":70829032,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413063/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829032"><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="70829032"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829032; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829032]").text(description); $(".js-view-count[data-work-id=70829032]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829032; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829032']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829032, 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: "c004bd65b57bda2a0b2e342d80a68ccd" } } $('.js-work-strip[data-work-id=70829032]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829032,"title":"The Effect of Type and Dosage of Frothers on Coarse Particles Flotation","translated_title":"","metadata":{"abstract":"Frothers have a profound effect on bubble size and also flotation efficiency. In present study the effect of type and dosage of frothers on the flotation response of coarse particles of quartz was investigated. Therefore, flotation response of coarse particles using frothers such as MIBC, pine oil, poly propylene glycol with concentration of 0, 25, 50 and 75 g/t, was obtained respectively. For all used frothers, maximum recovery was obtained around frother dosage of 25 g/t and with increasing frother dosage, flotation recovery decreased. With increasing frother dosage, bubble diameter, d32, decreased and when Poly Propylene Glycol, MIBC and Pine Oil were used as frother, bubble diameter increased. Maximum bubble diameter was obtained around Pine Oil and frother dosage of 25 g/t and minimum bubble diameter was obtained around Poly Propylene Glycol and frother dosage of 75 g/t. As the particle size increased, the probability of collision increased and with using Poly Propylene Glycol,...","publication_date":{"day":null,"month":null,"year":2009,"errors":{}},"publication_name":"Iranian Journal of Chemistry \u0026 Chemical Engineering-international English Edition"},"translated_abstract":"Frothers have a profound effect on bubble size and also flotation efficiency. In present study the effect of type and dosage of frothers on the flotation response of coarse particles of quartz was investigated. Therefore, flotation response of coarse particles using frothers such as MIBC, pine oil, poly propylene glycol with concentration of 0, 25, 50 and 75 g/t, was obtained respectively. For all used frothers, maximum recovery was obtained around frother dosage of 25 g/t and with increasing frother dosage, flotation recovery decreased. With increasing frother dosage, bubble diameter, d32, decreased and when Poly Propylene Glycol, MIBC and Pine Oil were used as frother, bubble diameter increased. Maximum bubble diameter was obtained around Pine Oil and frother dosage of 25 g/t and minimum bubble diameter was obtained around Poly Propylene Glycol and frother dosage of 75 g/t. As the particle size increased, the probability of collision increased and with using Poly Propylene Glycol,...","internal_url":"https://www.academia.edu/70829032/The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation","translated_internal_url":"","created_at":"2022-02-07T02:42:56.004-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413063,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413063/thumbnails/1.jpg","file_name":"article_6920_5168d984a1a910c2afcf697f8def8983.pdf","download_url":"https://www.academia.edu/attachments/80413063/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Type_and_Dosage_of_Frother.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413063/article_6920_5168d984a1a910c2afcf697f8def8983-libre.pdf?1644231077=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Type_and_Dosage_of_Frother.pdf\u0026Expires=1733199951\u0026Signature=DgYOEogJMvBy-wuAmUpm1ANr0PzEtJPCa4E5rS-ofT3UCyl9E0uTnTVu6fpZ41jnrxkiFqDYefmL2-9GE0ujMZeAbJJIP88BpyIiNryRr32o-rbgwevoSzy4iT-xer3gbpGSpylSr2GEFqNtwfEmgdqc3UVo8w35QYFGj9VJgETJvmhSLgIbV~9O-CTCPMSRRO96Zf2pUVnC5RkbBfX8jItxS0Ujfwr5TtuFMhqvkgqCmScNTbh5zkPZGhvmu7CfNY7k8~kLD~sr22WdA1rkFoB0HPRoXomlOUkzRZNpSdjalZL0uf4wX-WI06jH3-X4LPOyjqzeJoGR3Mdj4o-J8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413063,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413063/thumbnails/1.jpg","file_name":"article_6920_5168d984a1a910c2afcf697f8def8983.pdf","download_url":"https://www.academia.edu/attachments/80413063/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Type_and_Dosage_of_Frother.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413063/article_6920_5168d984a1a910c2afcf697f8def8983-libre.pdf?1644231077=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Type_and_Dosage_of_Frother.pdf\u0026Expires=1733199951\u0026Signature=DgYOEogJMvBy-wuAmUpm1ANr0PzEtJPCa4E5rS-ofT3UCyl9E0uTnTVu6fpZ41jnrxkiFqDYefmL2-9GE0ujMZeAbJJIP88BpyIiNryRr32o-rbgwevoSzy4iT-xer3gbpGSpylSr2GEFqNtwfEmgdqc3UVo8w35QYFGj9VJgETJvmhSLgIbV~9O-CTCPMSRRO96Zf2pUVnC5RkbBfX8jItxS0Ujfwr5TtuFMhqvkgqCmScNTbh5zkPZGhvmu7CfNY7k8~kLD~sr22WdA1rkFoB0HPRoXomlOUkzRZNpSdjalZL0uf4wX-WI06jH3-X4LPOyjqzeJoGR3Mdj4o-J8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":80413064,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413064/thumbnails/1.jpg","file_name":"article_6920_5168d984a1a910c2afcf697f8def8983.pdf","download_url":"https://www.academia.edu/attachments/80413064/download_file","bulk_download_file_name":"The_Effect_of_Type_and_Dosage_of_Frother.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413064/article_6920_5168d984a1a910c2afcf697f8def8983-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Type_and_Dosage_of_Frother.pdf\u0026Expires=1733199951\u0026Signature=Vl2rCCJs2g0x7DHp10Fzm9S1RuqwJx4nlm6fHvvnnyvd1Pt~ZQPTrxGePV4eCsx7oScpr9VahhDQ2u3rYvnUMusxCkevNy~ySDerqLQTJU1SPbeCF8lJkO5sJbKDfezP5YH4eBkH8I9i-YHrUtTqkKIf0EL4tKMbXb1rqQCeyhCkIQw4vot50AhZ2sgXmQ-GDkBvdMA~04zPRQ6lWbO-dOsQl0~xlxSOZ2JgtYpiXZfQyzGWwJOjr6C7z2O8JawnSO4CHqQBj9jn1FzdauFaPY~7Ff5eNa3oBSqB921cvHVmS8G9IuytbrtkI-evxuP5u3oXLToKisMUl74puuDZEQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"}],"urls":[{"id":17419452,"url":"http://www.ijcce.ac.ir/article_6920_5168d984a1a910c2afcf697f8def8983.pdf"}]}, 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="70829028"><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/70829028/Study_of_effective_parameters_on_generating_submicron_nano_bubbles_using_the_hydrodynamic_cavitation"><img alt="Research paper thumbnail of Study of effective parameters on generating submicron (nano)-bubbles using the hydrodynamic cavitation" class="work-thumbnail" src="https://attachments.academia-assets.com/80413116/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/70829028/Study_of_effective_parameters_on_generating_submicron_nano_bubbles_using_the_hydrodynamic_cavitation">Study of effective parameters on generating submicron (nano)-bubbles using the hydrodynamic cavitation</a></div><div class="wp-workCard_item"><span>Physicochemical Problems of Mineral Processing</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22e7f822df1b2dd68131134743308442" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413116,"asset_id":70829028,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413116/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829028"><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="70829028"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829028; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829028]").text(description); $(".js-view-count[data-work-id=70829028]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829028; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829028']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829028, 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: "22e7f822df1b2dd68131134743308442" } } $('.js-work-strip[data-work-id=70829028]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829028,"title":"Study of effective parameters on generating submicron (nano)-bubbles using the hydrodynamic cavitation","translated_title":"","metadata":{"publisher":"Politechnika Wroclawska Oficyna Wydawnicza","grobid_abstract":"Although submicron (nano)-bubbles (NBs) have been broadly used in the laboratory flotation processes, the role of critical factors in their generation is not adequately explored in the literature. The present study investigates the effect of six key factors on generating submicron-sized bubbles and its application to coarse-sized quartz flotation. Interaction of influential factors is highlighted, which was generally overlooked in previous studies. These parameters i.e. frother type (MIBC and A65), frother dosage (50-130 mg/L), air flow rate (0.1-0.4 L/min), pressure in Venturi tube (250-400 kPa), liquid temperature (22-42 °C) and pH (6-10) were evaluated through software based statistical fractional factorial design. The size distribution of NBs produced by the principle of hydrodynamic cavitation was measured using a laser particle size analyzer (LPSA), and Sauter mean bubble diameter (d32) was considered as the response of experimental design. Batch flotation experiments were performed with and without the A65 and MIBC-NBs. The results of experimental design showed that relative intensity of the main factors followed the order of air flow rate\u003etemperature\u003efrother type as the most effective parameters on the bubble size. It was revealed that the lowest air flow rate (0.1 L/min) produced the smallest bubbles. Meanwhile, the d32 decreased as the liquid temperature increased, and the bubble size strongly was related to the frother type and its concentration. Indeed, with changing frother from MIBC to A65, the reduction in mean bubble size was twofold. Interaction of frother type with its dosage, air flow rate and pressure were statistically recognized significant on the mean bubble size, which was confirmed by p-values. 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Extraction and recovery 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">Industrial wastes may contain high concentrations of valuable metals. Extraction and recovery of these metals have several economic and environmental advantages. Various studies showed positive effects of microwaves as a pretreatment method before the leaching of minerals. However, there are empty rooms for exploring simultaneous microwave and leaching (microwave-leaching) of industrial waste material for the production of valuable metals. This investigation examined the microwave-leaching method to extract copper and zinc from a copper-smelter dust (CSD). The results of microwave-leaching mechanism were compared with conventional heating leaching based on kinetics modelling. The final Cu recovery in the conventional heating and microwave irradiation was 80.88% and 69.83%, respectively. Kinetic studies indicated that the leaching reactions follow diffusion across the product layer. Based on X-ray powder diffraction (XRD) analyses, during conventional experiments sulfate; components ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9d6658cb341d6dc65d45497ba2d62042" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413053,"asset_id":70829015,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413053/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829015"><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="70829015"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829015; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829015]").text(description); $(".js-view-count[data-work-id=70829015]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829015; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829015']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829015, 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: "9d6658cb341d6dc65d45497ba2d62042" } } $('.js-work-strip[data-work-id=70829015]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829015,"title":"Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction","translated_title":"","metadata":{"abstract":"Industrial wastes may contain high concentrations of valuable metals. 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Kinetic studies indicated that the leaching reactions follow diffusion across the product layer. 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$(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="70829007"><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/70829007/Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks"><img alt="Research paper thumbnail of Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829007/Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks">Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks</a></div><div class="wp-workCard_item"><span>Separation Science and Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The effects of particle characteristics and hydrodynamic conditions on the flotation rat...</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 The effects of particle characteristics and hydrodynamic conditions on the flotation rate constant (k) and bubble–particle collision efficiency (Ec) of pyrite and chalcopyrite particles were investigated. Experimental results showed that k increases with increase of bubble surface area flux (Sb) and Ec. Artificial neural network (ANN) and multivariable linear regression procedures were used to predict both k and Ec based on the particle characteristics and hydrodynamic conditions. Multivariable linear regression resulted in R2 of 0.6 and 0.93 for k and Ec, respectively. Using an ANN model, R2 as high as 0.98 was achieved in modeling the Ec with regard to the available parameters. The proposed ANN model can be reliably used to determine both k and Ec parameters in froth flotation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829007"><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="70829007"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829007; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829007]").text(description); $(".js-view-count[data-work-id=70829007]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829007; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829007']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829007, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829007]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829007,"title":"Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks","translated_title":"","metadata":{"abstract":"ABSTRACT The effects of particle characteristics and hydrodynamic conditions on the flotation rate constant (k) and bubble–particle collision efficiency (Ec) of pyrite and chalcopyrite particles were investigated. Experimental results showed that k increases with increase of bubble surface area flux (Sb) and Ec. Artificial neural network (ANN) and multivariable linear regression procedures were used to predict both k and Ec based on the particle characteristics and hydrodynamic conditions. Multivariable linear regression resulted in R2 of 0.6 and 0.93 for k and Ec, respectively. Using an ANN model, R2 as high as 0.98 was achieved in modeling the Ec with regard to the available parameters. The proposed ANN model can be reliably used to determine both k and Ec parameters in froth flotation.","publisher":"Informa UK Limited","publication_name":"Separation Science and Technology"},"translated_abstract":"ABSTRACT The effects of particle characteristics and hydrodynamic conditions on the flotation rate constant (k) and bubble–particle collision efficiency (Ec) of pyrite and chalcopyrite particles were investigated. Experimental results showed that k increases with increase of bubble surface area flux (Sb) and Ec. Artificial neural network (ANN) and multivariable linear regression procedures were used to predict both k and Ec based on the particle characteristics and hydrodynamic conditions. Multivariable linear regression resulted in R2 of 0.6 and 0.93 for k and Ec, respectively. Using an ANN model, R2 as high as 0.98 was achieved in modeling the Ec with regard to the available parameters. The proposed ANN model can be reliably used to determine both k and Ec parameters in froth flotation.","internal_url":"https://www.academia.edu/70829007/Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks","translated_internal_url":"","created_at":"2022-02-07T02:42:40.910-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":524,"name":"Analytical Chemistry","url":"https://www.academia.edu/Documents/in/Analytical_Chemistry"},{"id":651530,"name":"Froth Flotation","url":"https://www.academia.edu/Documents/in/Froth_Flotation"}],"urls":[{"id":17419440,"url":"https://www.tandfonline.com/doi/pdf/10.1080/01496395.2017.1386216"}]}, 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="70829002"><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/70829002/New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution"><img alt="Research paper thumbnail of New Approach to Quartz Coarse Particles Flotation Using Nanobubbles, Emphasis on the Bubble Size Distribution" class="work-thumbnail" src="https://attachments.academia-assets.com/80413098/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/70829002/New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution">New Approach to Quartz Coarse Particles Flotation Using Nanobubbles, Emphasis on the Bubble Size Distribution</a></div><div class="wp-workCard_item"><span>International Journal of Nanoscience</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigates the influence of bubble size distribution and operational parameters on 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 study investigates the influence of bubble size distribution and operational parameters on the flotation behavior of quartz coarse particles. The parameters evaluated during this study include the different bubble size distribution, air flow rate and impeller speed. Experiments were conducted at three different bubble sizes: 110, 171 and 293[Formula: see text]nm as db(32). Then, the results were compared with common air bubbles of the conventional flotation process. The bubble size distribution was measured using a laser particle size analyzer (LPSA). Results showed that the recovery of [Formula: see text]m particles increased in presence of nano bubbles (NBs) up to 25% compared to the conventional flotation. The maximum recovery of 95.59% was obtained using NBs size of 171[Formula: see text]nm at the impeller speed of 900[Formula: see text]rpm and air flow rate of 30[Formula: see text]l/h. It was also indicated that NBs caused an increasing in flotation recovery for all the sa...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="727fe0c82a6e1472511562f1cb7473a5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413098,"asset_id":70829002,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413098/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829002"><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="70829002"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829002; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829002]").text(description); $(".js-view-count[data-work-id=70829002]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829002; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829002']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829002, 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: "727fe0c82a6e1472511562f1cb7473a5" } } $('.js-work-strip[data-work-id=70829002]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829002,"title":"New Approach to Quartz Coarse Particles Flotation Using Nanobubbles, Emphasis on the Bubble Size Distribution","translated_title":"","metadata":{"abstract":"This study investigates the influence of bubble size distribution and operational parameters on the flotation behavior of quartz coarse particles. 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It was also indicated that NBs caused an increasing in flotation recovery for all the sa...","publisher":"World Scientific Pub Co Pte Lt","publication_name":"International Journal of Nanoscience"},"translated_abstract":"This study investigates the influence of bubble size distribution and operational parameters on the flotation behavior of quartz coarse particles. The parameters evaluated during this study include the different bubble size distribution, air flow rate and impeller speed. Experiments were conducted at three different bubble sizes: 110, 171 and 293[Formula: see text]nm as db(32). Then, the results were compared with common air bubbles of the conventional flotation process. The bubble size distribution was measured using a laser particle size analyzer (LPSA). Results showed that the recovery of [Formula: see text]m particles increased in presence of nano bubbles (NBs) up to 25% compared to the conventional flotation. The maximum recovery of 95.59% was obtained using NBs size of 171[Formula: see text]nm at the impeller speed of 900[Formula: see text]rpm and air flow rate of 30[Formula: see text]l/h. It was also indicated that NBs caused an increasing in flotation recovery for all the sa...","internal_url":"https://www.academia.edu/70829002/New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution","translated_internal_url":"","created_at":"2022-02-07T02:42:38.271-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413098,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413098/thumbnails/1.jpg","file_name":"article_1074_cfafe2b0e0861073b0d77a0e7997b4ef.pdf","download_url":"https://www.academia.edu/attachments/80413098/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"New_Approach_to_Quartz_Coarse_Particles.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413098/article_1074_cfafe2b0e0861073b0d77a0e7997b4ef-libre.pdf?1644231071=\u0026response-content-disposition=attachment%3B+filename%3DNew_Approach_to_Quartz_Coarse_Particles.pdf\u0026Expires=1733199951\u0026Signature=EAJ9n1gD4falEohwYBKEtwlKnd0bJcu2rENdVFynJz4GdUnNve88q5cVT8~TitKD~PGJQL0MKiMeTcYdKheWnvBQ2D~SZesmwglM30XV4QHIi6lRg6xLzizuoIKGrXGtt1Y5gNKNquw10PydZ3t~0qSYCk~Sj2FN01ZGnky5cPMDw59NIk7Lkhkiu61euBIUDPnH2B44JMZQ-HBfh2N-8j-kCPgh1X99a5WumX~V1dOI48jUqC5-DgXGs48T5ERxsNdnckOV7IqSmR0xT4wzVQI1aWs1~UahxszxXnKiLkpUIOiwF5g6hOG~uQFfaLomIzw3qaounMqr-Z0rUr3Pww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413098,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413098/thumbnails/1.jpg","file_name":"article_1074_cfafe2b0e0861073b0d77a0e7997b4ef.pdf","download_url":"https://www.academia.edu/attachments/80413098/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"New_Approach_to_Quartz_Coarse_Particles.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413098/article_1074_cfafe2b0e0861073b0d77a0e7997b4ef-libre.pdf?1644231071=\u0026response-content-disposition=attachment%3B+filename%3DNew_Approach_to_Quartz_Coarse_Particles.pdf\u0026Expires=1733199951\u0026Signature=EAJ9n1gD4falEohwYBKEtwlKnd0bJcu2rENdVFynJz4GdUnNve88q5cVT8~TitKD~PGJQL0MKiMeTcYdKheWnvBQ2D~SZesmwglM30XV4QHIi6lRg6xLzizuoIKGrXGtt1Y5gNKNquw10PydZ3t~0qSYCk~Sj2FN01ZGnky5cPMDw59NIk7Lkhkiu61euBIUDPnH2B44JMZQ-HBfh2N-8j-kCPgh1X99a5WumX~V1dOI48jUqC5-DgXGs48T5ERxsNdnckOV7IqSmR0xT4wzVQI1aWs1~UahxszxXnKiLkpUIOiwF5g6hOG~uQFfaLomIzw3qaounMqr-Z0rUr3Pww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":17733,"name":"Nanotechnology","url":"https://www.academia.edu/Documents/in/Nanotechnology"},{"id":103213,"name":"Nanoscience","url":"https://www.academia.edu/Documents/in/Nanoscience"}],"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="70828994"><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/70828994/Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation"><img alt="Research paper thumbnail of Effects of nanobubble and hydrodynamic parameters on coarse quartz flotation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70828994/Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation">Effects of nanobubble and hydrodynamic parameters on coarse quartz flotation</a></div><div class="wp-workCard_item"><span>International Journal of Mining Science and Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in 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">Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in practically every flotation process. Coarse quartz flotation has been a long standing problem in various mineral processing plants to reduce milling cost and increase valuable mineral recovery. Based on this, the effects of nanobubbles (NBs) and hydrodynamic parameters on coarse quartz particle flotation were systematically investigated. Mechanical flotation experiments were carried out using the 7 cm and 9 cm diameter impellers in order to produce different hydrodynamic conditions. 900–1300 rpm impeller speeds were used for the 7 cm diameter impeller and 554–786 rpm for the 9 cm diameter impeller. The results show that the presence of NBs increased the flotation recovery of −425 + 106 μm quartz by up to 21%. For the 7 cm diameter impeller, the maximum flotation recoveries of 86.4% and 98% were obtained in the absence and presence of NBs at Reynolds number (Re) of 81,000 and 66,000, respectively. For the 9 cm diameter impeller, the maximum recoveries of 86.3% and 97.5% were obtained in the absence and presence of NBs at Re of 90,000 and 75,000, respectively. NBs increased the flotation rate constant up to 36%.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70828994"><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="70828994"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70828994; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70828994]").text(description); $(".js-view-count[data-work-id=70828994]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70828994; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70828994']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70828994, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70828994]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70828994,"title":"Effects of nanobubble and hydrodynamic parameters on coarse quartz flotation","translated_title":"","metadata":{"abstract":"Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in practically every flotation process. Coarse quartz flotation has been a long standing problem in various mineral processing plants to reduce milling cost and increase valuable mineral recovery. Based on this, the effects of nanobubbles (NBs) and hydrodynamic parameters on coarse quartz particle flotation were systematically investigated. Mechanical flotation experiments were carried out using the 7 cm and 9 cm diameter impellers in order to produce different hydrodynamic conditions. 900–1300 rpm impeller speeds were used for the 7 cm diameter impeller and 554–786 rpm for the 9 cm diameter impeller. The results show that the presence of NBs increased the flotation recovery of −425 + 106 μm quartz by up to 21%. For the 7 cm diameter impeller, the maximum flotation recoveries of 86.4% and 98% were obtained in the absence and presence of NBs at Reynolds number (Re) of 81,000 and 66,000, respectively. For the 9 cm diameter impeller, the maximum recoveries of 86.3% and 97.5% were obtained in the absence and presence of NBs at Re of 90,000 and 75,000, respectively. NBs increased the flotation rate constant up to 36%.","publisher":"Elsevier BV","publication_name":"International Journal of Mining Science and Technology"},"translated_abstract":"Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in practically every flotation process. Coarse quartz flotation has been a long standing problem in various mineral processing plants to reduce milling cost and increase valuable mineral recovery. Based on this, the effects of nanobubbles (NBs) and hydrodynamic parameters on coarse quartz particle flotation were systematically investigated. Mechanical flotation experiments were carried out using the 7 cm and 9 cm diameter impellers in order to produce different hydrodynamic conditions. 900–1300 rpm impeller speeds were used for the 7 cm diameter impeller and 554–786 rpm for the 9 cm diameter impeller. The results show that the presence of NBs increased the flotation recovery of −425 + 106 μm quartz by up to 21%. For the 7 cm diameter impeller, the maximum flotation recoveries of 86.4% and 98% were obtained in the absence and presence of NBs at Reynolds number (Re) of 81,000 and 66,000, respectively. For the 9 cm diameter impeller, the maximum recoveries of 86.3% and 97.5% were obtained in the absence and presence of NBs at Re of 90,000 and 75,000, respectively. NBs increased the flotation rate constant up to 36%.","internal_url":"https://www.academia.edu/70828994/Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation","translated_internal_url":"","created_at":"2022-02-07T02:42:34.497-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"}],"urls":[{"id":17419437,"url":"https://api.elsevier.com/content/article/PII:S2095268618304373?httpAccept=text/xml"}]}, 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="70828985"><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/70828985/Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method"><img alt="Research paper thumbnail of Prediction of froth flotation responses based on various conditioning parameters by Random Forest method" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70828985/Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method">Prediction of froth flotation responses based on various conditioning parameters by Random Forest method</a></div><div class="wp-workCard_item"><span>Colloids and Surfaces A: Physicochemical and Engineering Aspects</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Flotation procedure is a combination of many sub-processes which make its modeling quite...</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 Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d 1 ), and circularity (C p ) and hydrodynamic conditions: bubble Reynolds number (R eb ), energy dissipation (e), and bubble surface area flux (S b )), on the flotation rate constant “ k ” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were S b -R eb -e and d 1 -C p -S b , respectively. The predictive models yield satisfactory results for k and R with R 2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70828985"><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="70828985"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70828985; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70828985]").text(description); $(".js-view-count[data-work-id=70828985]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70828985; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70828985']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70828985, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70828985]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70828985,"title":"Prediction of froth flotation responses based on various conditioning parameters by Random Forest method","translated_title":"","metadata":{"abstract":"Abstract Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d 1 ), and circularity (C p ) and hydrodynamic conditions: bubble Reynolds number (R eb ), energy dissipation (e), and bubble surface area flux (S b )), on the flotation rate constant “ k ” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were S b -R eb -e and d 1 -C p -S b , respectively. The predictive models yield satisfactory results for k and R with R 2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.","publisher":"Elsevier BV","publication_name":"Colloids and Surfaces A: Physicochemical and Engineering Aspects"},"translated_abstract":"Abstract Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d 1 ), and circularity (C p ) and hydrodynamic conditions: bubble Reynolds number (R eb ), energy dissipation (e), and bubble surface area flux (S b )), on the flotation rate constant “ k ” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were S b -R eb -e and d 1 -C p -S b , respectively. The predictive models yield satisfactory results for k and R with R 2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.","internal_url":"https://www.academia.edu/70828985/Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method","translated_internal_url":"","created_at":"2022-02-07T02:42:30.156-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":17419436,"url":"http://api.elsevier.com/content/article/PII:S0927775717306623?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); 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Coal flotation is a complicated multifaceted separation process and many measurable and unmeasurable variables can be considered for its modeling. Therefore, feature selection can be used to save time and cost of measuring irrelevant parameters. Mutual information (MI) as a powerful variable selection tool was used through laboratory measured variables to assess interactions and choose the most effective ones for predictions of R* and k. Feature selection by MI through variables indicated that the best arrangements for the R* and k predictions are the sets of particle Reynolds number-energy dissipation and particle size-bubble Reynolds number, respectively. Correlation of determination (R 2) and difference between laboratory measured and SVR predicted values based on MI selected variables indicated that the SVR can model R* and k quite accurately with R 2 =0.93 and R 2 =0.72, respectively. These results demonstrated that the MI-SVR combination can quite satisfactorily measure the importance of variables, increase interpretability, reduce the risk of overfitting, decrease complexity and generate predictive models for high dimension of variables based on selected features for complicated processing systems.","publication_name":"Measurement","grobid_abstract_attachment_id":80413089},"translated_abstract":null,"internal_url":"https://www.academia.edu/70828978/Support_vector_regression_modeling_of_coal_flotation_based_on_variable_importance_measurements_by_mutual_information_method","translated_internal_url":"","created_at":"2022-02-07T02:42:26.267-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413089,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413089/thumbnails/1.jpg","file_name":"110401.pdf","download_url":"https://www.academia.edu/attachments/80413089/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Support_vector_regression_modeling_of_co.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413089/110401-libre.pdf?1644231073=\u0026response-content-disposition=attachment%3B+filename%3DSupport_vector_regression_modeling_of_co.pdf\u0026Expires=1733199951\u0026Signature=g7WxHcAqSzKxbxsXkldfONwGmkKVYe72eG2~3~qaIwq0hu0ayXaTS9j6Y-g2GCSPe2EbyMP-wjG5bzl4DhX9jInoVQ1vn2~TzxWrdr3~BAfbeCg4KDhwb-PczfspNafGLQzlZF6dQtPZTpVYOPDZSukJaljTFZUNfRDP-3YTeNoqPRbOkPks66UdMCYGZFNsX9DYggEJHGMyjYm7SzzXkf8zcE4jJWvrpE0-9uOEWJ4Go5VceiL2NVOD4sO6h6NQcn9i5ScA4xdBVJY2ujO5Z0OjSgvmSCMHHHLLfk4~QOkEtzGcsuMJrMnvQO9z8HWzmWBQBcJ~mkoqYVg761TqJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Support_vector_regression_modeling_of_coal_flotation_based_on_variable_importance_measurements_by_mutual_information_method","translated_slug":"","page_count":3,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413089,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413089/thumbnails/1.jpg","file_name":"110401.pdf","download_url":"https://www.academia.edu/attachments/80413089/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Support_vector_regression_modeling_of_co.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413089/110401-libre.pdf?1644231073=\u0026response-content-disposition=attachment%3B+filename%3DSupport_vector_regression_modeling_of_co.pdf\u0026Expires=1733199951\u0026Signature=g7WxHcAqSzKxbxsXkldfONwGmkKVYe72eG2~3~qaIwq0hu0ayXaTS9j6Y-g2GCSPe2EbyMP-wjG5bzl4DhX9jInoVQ1vn2~TzxWrdr3~BAfbeCg4KDhwb-PczfspNafGLQzlZF6dQtPZTpVYOPDZSukJaljTFZUNfRDP-3YTeNoqPRbOkPks66UdMCYGZFNsX9DYggEJHGMyjYm7SzzXkf8zcE4jJWvrpE0-9uOEWJ4Go5VceiL2NVOD4sO6h6NQcn9i5ScA4xdBVJY2ujO5Z0OjSgvmSCMHHHLLfk4~QOkEtzGcsuMJrMnvQO9z8HWzmWBQBcJ~mkoqYVg761TqJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics"},{"id":96446,"name":"Measurement","url":"https://www.academia.edu/Documents/in/Measurement"}],"urls":[{"id":17419435,"url":"http://api.elsevier.com/content/article/PII:S0263224117305900?httpAccept=text/xml"}]}, 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="5786810" id="papers"><div class="js-work-strip profile--work_container" data-work-id="97946178"><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/97946178/Effect_of_frother_type_and_operational_parameters_on_nano_bubble_flotation_of_quartz_coarse_particles"><img alt="Research paper thumbnail of Effect of frother type and operational parameters on nano bubble flotation of quartz coarse particles" class="work-thumbnail" src="https://attachments.academia-assets.com/99431526/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/97946178/Effect_of_frother_type_and_operational_parameters_on_nano_bubble_flotation_of_quartz_coarse_particles">Effect of frother type and operational parameters on nano bubble flotation of quartz coarse particles</a></div><div class="wp-workCard_item"><span>Journal of Mining and Environment</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this work, the effects of the types of frother (MIBC, pine oil, and A65) and operational param...</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 effects of the types of frother (MIBC, pine oil, and A65) and operational parameters (impeller speed and air flow rate) on the flotation of quartz coarse particles was investigated using nano bubbles (NBs). Quartz particles of the size of -425+106 mm and three types of frother were used for the flotation experiments. Also the impeller speed was 600 to 1300 rpm, and the air flow rates were 30 and 60 L/h. In the absence of NBs, the maximum recovery was achieved with the pine oil frother, an impeller speed of 1000 rpm, and an air flow rate of 60 L/h. In the presence of NBs, the maximum recovery was achieved using pine oil at an impeller speed of 900 rpm and an air flow rate of 30 L/h. However, increasing the recovery in the presence of NBs, compared to the absence of NBs for MIBC, was more than the other two frothers, and the recovery using this frother to increase up to 25% but using pine oil, the recovery increased up to 23%. The lowest recovery in the presence of N...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3b68fbecd46a04abc343d883a6ee3875" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99431526,"asset_id":97946178,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99431526/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="97946178"><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="97946178"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 97946178; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=97946178]").text(description); $(".js-view-count[data-work-id=97946178]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 97946178; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='97946178']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 97946178, 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: "3b68fbecd46a04abc343d883a6ee3875" } } $('.js-work-strip[data-work-id=97946178]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":97946178,"title":"Effect of frother type and operational parameters on nano bubble flotation of quartz coarse particles","translated_title":"","metadata":{"abstract":"In this work, the effects of the types of frother (MIBC, pine oil, and A65) and operational parameters (impeller speed and air flow rate) on the flotation of quartz coarse particles was investigated using nano bubbles (NBs). Quartz particles of the size of -425+106 mm and three types of frother were used for the flotation experiments. Also the impeller speed was 600 to 1300 rpm, and the air flow rates were 30 and 60 L/h. In the absence of NBs, the maximum recovery was achieved with the pine oil frother, an impeller speed of 1000 rpm, and an air flow rate of 60 L/h. In the presence of NBs, the maximum recovery was achieved using pine oil at an impeller speed of 900 rpm and an air flow rate of 30 L/h. However, increasing the recovery in the presence of NBs, compared to the absence of NBs for MIBC, was more than the other two frothers, and the recovery using this frother to increase up to 25% but using pine oil, the recovery increased up to 23%. The lowest recovery in the presence of N...","ai_title_tag":"Frother Effects and Parameters on Quartz Flotation with Nano Bubbles","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Journal of Mining and Environment"},"translated_abstract":"In this work, the effects of the types of frother (MIBC, pine oil, and A65) and operational parameters (impeller speed and air flow rate) on the flotation of quartz coarse particles was investigated using nano bubbles (NBs). Quartz particles of the size of -425+106 mm and three types of frother were used for the flotation experiments. Also the impeller speed was 600 to 1300 rpm, and the air flow rates were 30 and 60 L/h. In the absence of NBs, the maximum recovery was achieved with the pine oil frother, an impeller speed of 1000 rpm, and an air flow rate of 60 L/h. In the presence of NBs, the maximum recovery was achieved using pine oil at an impeller speed of 900 rpm and an air flow rate of 30 L/h. However, increasing the recovery in the presence of NBs, compared to the absence of NBs for MIBC, was more than the other two frothers, and the recovery using this frother to increase up to 25% but using pine oil, the recovery increased up to 23%. 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$(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="97942356"><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/97942356/Study_on_the_impacts_of_media_shapes_on_the_performance_of_tumbling_mills_A_review"><img alt="Research paper thumbnail of Study on the impacts of media shapes on the performance of tumbling mills – A review" class="work-thumbnail" src="https://attachments.academia-assets.com/99428796/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/97942356/Study_on_the_impacts_of_media_shapes_on_the_performance_of_tumbling_mills_A_review">Study on the impacts of media shapes on the performance of tumbling mills – A review</a></div><div class="wp-workCard_item"><span>Minerals Engineering</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8388474cd44215cfa03782b03b92880c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99428796,"asset_id":97942356,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99428796/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="97942356"><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="97942356"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 97942356; 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$(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="81826895"><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/81826895/A_study_on_the_Effect_of_Planned_Behavior_on_Performance_by_Moderating_Role_of_Individual_organization_proportionality_among_Staff_of_Ardabil_University_of_Medical_Sciences"><img alt="Research paper thumbnail of A study on the Effect of Planned Behavior on Performance by Moderating Role of Individual – organization proportionality among Staff of Ardabil University of Medical Sciences" class="work-thumbnail" src="https://attachments.academia-assets.com/87736083/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/81826895/A_study_on_the_Effect_of_Planned_Behavior_on_Performance_by_Moderating_Role_of_Individual_organization_proportionality_among_Staff_of_Ardabil_University_of_Medical_Sciences">A study on the Effect of Planned Behavior on Performance by Moderating Role of Individual – organization proportionality among Staff of Ardabil University of Medical Sciences</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The purpose of the present study is to study the effect of planned behavior on performance by the...</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 purpose of the present study is to study the effect of planned behavior on performance by the moderating role of individual‐organization proportionality among staff of Ardabil University of Medical Sciences. The study is an applied one in the purpose, and so descriptive and correlative method, and the research method is field one in data collection. The statistical population of this study includes all staff of Ardabil University of Medical Sciences, 601 employees. Morgan table was used to determine the staff sample size and 234 persons were selected by simple random sampling. For measuring variables, Ahmad Tabatabai et al.&#39;s Planned Behavior Questionnaire (2008), Scruggines&#39; Individual‐ propor onality Inventory (2008), and Hersey & Gold Smith&#39;s Organizational Performance Ques onnaire (2008, quoted by Asadi, 2008) were used. Data were analyzed by using SMART PLS software and structural equations were used to analyze the research hypothesis. The findings show that ind...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="252c04665afe880f936ce7dbceee2b48" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87736083,"asset_id":81826895,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87736083/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="81826895"><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="81826895"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81826895; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81826895]").text(description); $(".js-view-count[data-work-id=81826895]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81826895; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81826895']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 81826895, 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: "252c04665afe880f936ce7dbceee2b48" } } $('.js-work-strip[data-work-id=81826895]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81826895,"title":"A study on the Effect of Planned Behavior on Performance by Moderating Role of Individual – organization proportionality among Staff of Ardabil University of Medical Sciences","translated_title":"","metadata":{"abstract":"The purpose of the present study is to study the effect of planned behavior on performance by the moderating role of individual‐organization proportionality among staff of Ardabil University of Medical Sciences. 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The findings show that ind...","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"The purpose of the present study is to study the effect of planned behavior on performance by the moderating role of individual‐organization proportionality among staff of Ardabil University of Medical Sciences. The study is an applied one in the purpose, and so descriptive and correlative method, and the research method is field one in data collection. The statistical population of this study includes all staff of Ardabil University of Medical Sciences, 601 employees. Morgan table was used to determine the staff sample size and 234 persons were selected by simple random sampling. For measuring variables, Ahmad Tabatabai et al.\u0026#39;s Planned Behavior Questionnaire (2008), Scruggines\u0026#39; Individual‐ propor onality Inventory (2008), and Hersey \u0026 Gold Smith\u0026#39;s Organizational Performance Ques onnaire (2008, quoted by Asadi, 2008) were used. Data were analyzed by using SMART PLS software and structural equations were used to analyze the research hypothesis. The findings show that ind...","internal_url":"https://www.academia.edu/81826895/A_study_on_the_Effect_of_Planned_Behavior_on_Performance_by_Moderating_Role_of_Individual_organization_proportionality_among_Staff_of_Ardabil_University_of_Medical_Sciences","translated_internal_url":"","created_at":"2022-06-19T08:07:19.565-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":87736083,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736083/thumbnails/1.jpg","file_name":"mbrq.2019.12.04.pdf","download_url":"https://www.academia.edu/attachments/87736083/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_study_on_the_Effect_of_Planned_Behavio.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736083/mbrq.2019.12.04-libre.pdf?1655653786=\u0026response-content-disposition=attachment%3B+filename%3DA_study_on_the_Effect_of_Planned_Behavio.pdf\u0026Expires=1733199951\u0026Signature=Us2d7j7DYBEJve94UW2bavpvZf~9vPHjyaT0VsR8tFzFooIqJugzoY60PFj~XZkWsgSQiVJvRbSoXxP1vlc5giDISiAchARz0nz4txmDPYodTs3nooBp8vRGzuocyiSywkXLMRNurfdOS-S16IVoyfmyafLl2AJICMHFzE-4V2tclHw-9-xM-4oT~i05IHW6D73oVXI8B0e0OLBT9ukwlhTnzKTD-7usugxPJ9qdQQugdsdDD4H9bQoSUaDUCBEh3OYiblK7BlWXpKDK-Ql2wMRU8iJ8JkPnniDdT-d2ovXE8QL0ElPzMLrFQEbTAiI~GcRr1bV4j6jrlOxn0aoYSA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_study_on_the_Effect_of_Planned_Behavior_on_Performance_by_Moderating_Role_of_Individual_organization_proportionality_among_Staff_of_Ardabil_University_of_Medical_Sciences","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":87736083,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736083/thumbnails/1.jpg","file_name":"mbrq.2019.12.04.pdf","download_url":"https://www.academia.edu/attachments/87736083/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_study_on_the_Effect_of_Planned_Behavio.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736083/mbrq.2019.12.04-libre.pdf?1655653786=\u0026response-content-disposition=attachment%3B+filename%3DA_study_on_the_Effect_of_Planned_Behavio.pdf\u0026Expires=1733199951\u0026Signature=Us2d7j7DYBEJve94UW2bavpvZf~9vPHjyaT0VsR8tFzFooIqJugzoY60PFj~XZkWsgSQiVJvRbSoXxP1vlc5giDISiAchARz0nz4txmDPYodTs3nooBp8vRGzuocyiSywkXLMRNurfdOS-S16IVoyfmyafLl2AJICMHFzE-4V2tclHw-9-xM-4oT~i05IHW6D73oVXI8B0e0OLBT9ukwlhTnzKTD-7usugxPJ9qdQQugdsdDD4H9bQoSUaDUCBEh3OYiblK7BlWXpKDK-Ql2wMRU8iJ8JkPnniDdT-d2ovXE8QL0ElPzMLrFQEbTAiI~GcRr1bV4j6jrlOxn0aoYSA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":21576327,"url":"https://eurokd.com/MBRQ/doi/10.32038/mbrq.2019.12.04.pdf"}]}, 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="81826874"><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/81826874/Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity"><img alt="Research paper thumbnail of Preparation and characterization of Pistacia khinjuk gum nanoparticles using Response Surface Method: evaluation of its anti-bacterial performance and cytotoxicity" class="work-thumbnail" src="https://attachments.academia-assets.com/87736073/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/81826874/Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity">Preparation and characterization of Pistacia khinjuk gum nanoparticles using Response Surface Method: evaluation of its anti-bacterial performance and cytotoxicity</a></div><div class="wp-workCard_item"><span>Advanced Pharmaceutical Bulletin</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d81449ca563e92130c276faa0c0efbb3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87736073,"asset_id":81826874,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87736073/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="81826874"><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="81826874"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81826874; 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Methods: Pistacia khinjuk gum NPs were prepared and Response surface methodology (RSM) was used for statistical analysis of data and optimizing the size of NPs. Results: NPs were in the range of 75.85-241.3 nm. The optimization study was carried out, and an optimized size (70.86nm) was obtained using DMSO as a solvent. The volume of the organic phase was 111.25µl, and the concentration of gum was 1% w/v. The cell viability assay was performed on the pure gum and NPs toward β-TC 3 , MCF7, and HT29 cell lines. It was observed that NPs have higher cytotoxic activity in comparison with pure gum, and that the IC 50 value was achieved at 1% of NPs in β-TC 3 cells. The obtained NPs demonstrated antibacterial activity against two bacterial strains (Pseudomonas aeruginosa and Staphylococcus aureus). Conclusion: Altogether, according to the obtained results, these NPs with inherent cytotoxicity and antibacterial activity are an attractive carrier for drug delivery.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Advanced Pharmaceutical Bulletin","grobid_abstract_attachment_id":87736073},"translated_abstract":null,"internal_url":"https://www.academia.edu/81826874/Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity","translated_internal_url":"","created_at":"2022-06-19T08:06:44.001-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":87736073,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736073/thumbnails/1.jpg","file_name":"f445a570baf3ac20022e9f01fbc2e17c2aec.pdf","download_url":"https://www.academia.edu/attachments/87736073/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Preparation_and_characterization_of_Pist.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736073/f445a570baf3ac20022e9f01fbc2e17c2aec-libre.pdf?1655653779=\u0026response-content-disposition=attachment%3B+filename%3DPreparation_and_characterization_of_Pist.pdf\u0026Expires=1733199951\u0026Signature=OIj6~4au33jY4ZC~LSwe6QX0nHPz80scZRDfYBogwCNI95QYOgqnSyW8DBzCigB8iQVCI-g5tWAR1hSNCEJyO5pjD25n9QzWBK81MVEVtx3kCosQ4XSpJYZICSdbQZHe878sr3Qqsv0HWFZTlJCLTrae9e56JR~uFOVijmHi8dY6KAV61MOTWpz0rC87pY1fl26XsbhLMQViVS2NDCkbsPsdVsV0sr8pMymPf-u1voNxmZZ6BAqi-oWEbafQFEGFqBV5feIcKPG3EgO8oGB0qWZAjqfl5WFNdAN1~ZjgtjEF3VAm-HfEgEOwe2R1byyhmneWJZ8Ca4bSoxNUQSS7Bw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Preparation_and_characterization_of_Pistacia_khinjuk_gum_nanoparticles_using_Response_Surface_Method_evaluation_of_its_anti_bacterial_performance_and_cytotoxicity","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":87736073,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736073/thumbnails/1.jpg","file_name":"f445a570baf3ac20022e9f01fbc2e17c2aec.pdf","download_url":"https://www.academia.edu/attachments/87736073/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Preparation_and_characterization_of_Pist.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736073/f445a570baf3ac20022e9f01fbc2e17c2aec-libre.pdf?1655653779=\u0026response-content-disposition=attachment%3B+filename%3DPreparation_and_characterization_of_Pist.pdf\u0026Expires=1733199951\u0026Signature=OIj6~4au33jY4ZC~LSwe6QX0nHPz80scZRDfYBogwCNI95QYOgqnSyW8DBzCigB8iQVCI-g5tWAR1hSNCEJyO5pjD25n9QzWBK81MVEVtx3kCosQ4XSpJYZICSdbQZHe878sr3Qqsv0HWFZTlJCLTrae9e56JR~uFOVijmHi8dY6KAV61MOTWpz0rC87pY1fl26XsbhLMQViVS2NDCkbsPsdVsV0sr8pMymPf-u1voNxmZZ6BAqi-oWEbafQFEGFqBV5feIcKPG3EgO8oGB0qWZAjqfl5WFNdAN1~ZjgtjEF3VAm-HfEgEOwe2R1byyhmneWJZ8Ca4bSoxNUQSS7Bw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"}],"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="81826814"><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/81826814/Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions"><img alt="Research paper thumbnail of Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions" class="work-thumbnail" src="https://attachments.academia-assets.com/87736034/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/81826814/Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions">Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions</a></div><div class="wp-workCard_item"><span>International Journal of Coal Science & Technology</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cabf4db6a768e4fbf6e5209002cfcd36" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87736034,"asset_id":81826814,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87736034/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="81826814"><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="81826814"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81826814; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "cabf4db6a768e4fbf6e5209002cfcd36" } } $('.js-work-strip[data-work-id=81826814]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81826814,"title":"Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions","translated_title":"","metadata":{"publisher":"Springer Nature","grobid_abstract":"Flotation is a complex multifaceted process that is widely used for the separation of finely ground minerals. The theory of froth flotation is complex and is not completely understood. This fact has been brought many monitoring challenges in a coal processing plant. To solve those challenges, it is important to understand the effect of different parameters on the fine particle separation, and control flotation performance for a particular system. This study is going to indicate the effect of various parameters (particle characteristics and hydrodynamic conditions) on coal flotation responses (flotation rate constant and recovery) by different modeling techniques. A comprehensive coal flotation database was prepared for the statistical and soft computing methods. Statistical factors were used for variable selections. Results were in a good agreement with recent theoretical flotation investigations. Computational models accurately can estimate flotation rate constant and coal recovery (correlation coefficient 0.85, and 0.99, respectively). According to the results, it can be concluded that the soft computing models can overcome the complexity of process and be used as an expert system to control, and optimize parameters of coal flotation process.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"International Journal of Coal Science \u0026 Technology","grobid_abstract_attachment_id":87736034},"translated_abstract":null,"internal_url":"https://www.academia.edu/81826814/Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions","translated_internal_url":"","created_at":"2022-06-19T08:06:05.342-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":87736034,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736034/thumbnails/1.jpg","file_name":"s40789-016-0147-9.pdf","download_url":"https://www.academia.edu/attachments/87736034/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Modeling_of_fine_coal_flotation_separati.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736034/s40789-016-0147-9-libre.pdf?1655653786=\u0026response-content-disposition=attachment%3B+filename%3DModeling_of_fine_coal_flotation_separati.pdf\u0026Expires=1733199951\u0026Signature=B9c64dvvlS4obMr7QyDxTmqBPXtiTYMZWWtzRuRq-38HAvDEFh4khkZIpEKiDlfdRNh1EBY7YOvnwa~6xGnDyEQlicRKT~25MOND9xV8a6EJhnxTFNnC02dKIN-ENDBIEW14JkYW0cukTD294Lbj3n3gekcJHYS17q7rQi3jSsE1XyVltWMeSQJ4uLhlct3bChdFECwxZnJ2ITFiniRcswkWWTZqQtnbU3z6wwxCcxBukv4BUDTDJPmjlxxgvzPgKF0OCUDJcAy5u4Ud9MM4FIxHtp2LM-I1wVJeTqlAqORt3wrGbVvTlgCdK3YA8Tv9Noc2-QFL0FB61f1uZYC~fA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Modeling_of_fine_coal_flotation_separation_based_on_particle_characteristics_and_hydrodynamic_conditions","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":87736034,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87736034/thumbnails/1.jpg","file_name":"s40789-016-0147-9.pdf","download_url":"https://www.academia.edu/attachments/87736034/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Modeling_of_fine_coal_flotation_separati.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87736034/s40789-016-0147-9-libre.pdf?1655653786=\u0026response-content-disposition=attachment%3B+filename%3DModeling_of_fine_coal_flotation_separati.pdf\u0026Expires=1733199951\u0026Signature=B9c64dvvlS4obMr7QyDxTmqBPXtiTYMZWWtzRuRq-38HAvDEFh4khkZIpEKiDlfdRNh1EBY7YOvnwa~6xGnDyEQlicRKT~25MOND9xV8a6EJhnxTFNnC02dKIN-ENDBIEW14JkYW0cukTD294Lbj3n3gekcJHYS17q7rQi3jSsE1XyVltWMeSQJ4uLhlct3bChdFECwxZnJ2ITFiniRcswkWWTZqQtnbU3z6wwxCcxBukv4BUDTDJPmjlxxgvzPgKF0OCUDJcAy5u4Ud9MM4FIxHtp2LM-I1wVJeTqlAqORt3wrGbVvTlgCdK3YA8Tv9Noc2-QFL0FB61f1uZYC~fA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":10743,"name":"Coal","url":"https://www.academia.edu/Documents/in/Coal"}],"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="70829067"><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/70829067/Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles"><img alt="Research paper thumbnail of Effect of Frother on Bubble-Particle Collision Probability of Fine Particles" class="work-thumbnail" src="https://attachments.academia-assets.com/80413077/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/70829067/Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles">Effect of Frother on Bubble-Particle Collision Probability of Fine Particles</a></div><div class="wp-workCard_item"><span>American Journal of Chemical Engineering</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0c39aa110a599e068195486fef192644" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413077,"asset_id":70829067,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413077/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829067"><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="70829067"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829067; 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In this study the effect of type and dosage of frothers on bubble-particle collision probability and dispersion of fine particles was investigated. Therefore, collision probability of fine particles was calculated using frothers such as MIBC, Pine Oil, and Poly propylene glycol with concentration of 0, 25, 50 and 75 g/t respectively. According to this study, as the particle size increased the probability of collision increased but with using Poly Propylene Glycol, MIBC and Pine Oil, probability of collision increased, respectively. Under Potential flow conditions, Maximum collision probability was obtained 27.27% with Poly Propylene Glycol dosage of 75 g/t and particle size of 50 µm.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"American Journal of Chemical Engineering","grobid_abstract_attachment_id":80413077},"translated_abstract":null,"internal_url":"https://www.academia.edu/70829067/Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles","translated_internal_url":"","created_at":"2022-02-07T02:43:16.321-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413077,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413077/thumbnails/1.jpg","file_name":"10.11648.j.ajche.s.2015030202.11.pdf","download_url":"https://www.academia.edu/attachments/80413077/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effect_of_Frother_on_Bubble_Particle_Col.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413077/10.11648.j.ajche.s.2015030202.11-libre.pdf?1644231075=\u0026response-content-disposition=attachment%3B+filename%3DEffect_of_Frother_on_Bubble_Particle_Col.pdf\u0026Expires=1733199951\u0026Signature=g1Yp8bZhOLeOLkeG3zU0v~AWHO6w9UoVvmZiTstNY2lCPbH1csrGLlsVFUSe0sPIIterlzCcErncKB5ysJhJ0895Oa7meps~lhILHrdS7p3uIX2x-rTnEVn4enUHVrux4TiQWceMY05ugENYTeO~NDcX8yql1y2RaBHmA0CDLTfwUiKp9EWcKQmgZLg5YjchfR2uXIWlHHvjyl67~s2J983POehWEZU0AGWwKnyOpLvAMcBuvbxeIvGQnBNOOCnIvZFgaQhaOAgr7eUznz30Fgz6OJM4S7MtccTYihOk5Mqcd05hvwHX6PbYKnUUudGQWFT~vbXzj3oJLW0fALvHhg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Effect_of_Frother_on_Bubble_Particle_Collision_Probability_of_Fine_Particles","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413077,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413077/thumbnails/1.jpg","file_name":"10.11648.j.ajche.s.2015030202.11.pdf","download_url":"https://www.academia.edu/attachments/80413077/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effect_of_Frother_on_Bubble_Particle_Col.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413077/10.11648.j.ajche.s.2015030202.11-libre.pdf?1644231075=\u0026response-content-disposition=attachment%3B+filename%3DEffect_of_Frother_on_Bubble_Particle_Col.pdf\u0026Expires=1733199951\u0026Signature=g1Yp8bZhOLeOLkeG3zU0v~AWHO6w9UoVvmZiTstNY2lCPbH1csrGLlsVFUSe0sPIIterlzCcErncKB5ysJhJ0895Oa7meps~lhILHrdS7p3uIX2x-rTnEVn4enUHVrux4TiQWceMY05ugENYTeO~NDcX8yql1y2RaBHmA0CDLTfwUiKp9EWcKQmgZLg5YjchfR2uXIWlHHvjyl67~s2J983POehWEZU0AGWwKnyOpLvAMcBuvbxeIvGQnBNOOCnIvZFgaQhaOAgr7eUznz30Fgz6OJM4S7MtccTYihOk5Mqcd05hvwHX6PbYKnUUudGQWFT~vbXzj3oJLW0fALvHhg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":80413076,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413076/thumbnails/1.jpg","file_name":"10.11648.j.ajche.s.2015030202.11.pdf","download_url":"https://www.academia.edu/attachments/80413076/download_file","bulk_download_file_name":"Effect_of_Frother_on_Bubble_Particle_Col.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413076/10.11648.j.ajche.s.2015030202.11-libre.pdf?1644231075=\u0026response-content-disposition=attachment%3B+filename%3DEffect_of_Frother_on_Bubble_Particle_Col.pdf\u0026Expires=1733199951\u0026Signature=Z3PMuzVH6OQziwBgYgWPWwAHuri57JZGFEhDf1gM4Ifz1XnmcOobmkLQKMQdqXOtL28vJeljLHGLfbxeMdiS2~L83qXq1YFM7lBHqSDYg1B-D2D4RtO2zXX-xUd2gczUw-WAwYUrbgl0SR60d4VpXe1S4ZjyHV1Ip-6504hVNH1jaUzCP5AGRW4NVEpp4y~YG-NdDP6XEIsVdVQSUeoviKbG~bXQDQNDjbKWs4jG2gtYxhqRnbVyc8Ygzog-Bc9N5GP76HJ~aTmoCynCGKrq8N5g5BScIkN~3ns6okJ9blu1FONtW8lQjPyAH~TP8Vsj2APm-FU-Af7h70~euwzEOQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":57608,"name":"Dispersion","url":"https://www.academia.edu/Documents/in/Dispersion"},{"id":171868,"name":"COLLISION","url":"https://www.academia.edu/Documents/in/COLLISION"}],"urls":[{"id":17419460,"url":"http://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.s.2015030202.11.pdf"}]}, 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="70829059"><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/70829059/The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells"><img alt="Research paper thumbnail of The Empirical Prediction of Gas Dispersion Parameters on Mechanical Flotation Cells" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829059/The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells">The Empirical Prediction of Gas Dispersion Parameters on Mechanical Flotation Cells</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area 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">Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area flux ( b) and input power ( ) are effective parameters on flotation performance. During the last 10 years, some investigations have been carried out to measure these parameters in mechanical flotation cells. In this research, some models are created to estimate gas dispersion properties and input power by experimental data. Variables of models are impeller peripheral speed ( S P sN), superficial gas velocity ( gJ) and pulp density ( ) and final form of models are dP J0.486 0.01232 1041 exp 710s g dd N P</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829059"><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="70829059"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829059; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829059]").text(description); $(".js-view-count[data-work-id=70829059]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829059; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829059']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829059, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829059]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829059,"title":"The Empirical Prediction of Gas Dispersion Parameters on Mechanical Flotation Cells","translated_title":"","metadata":{"abstract":"Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area flux ( b) and input power ( ) are effective parameters on flotation performance. During the last 10 years, some investigations have been carried out to measure these parameters in mechanical flotation cells. In this research, some models are created to estimate gas dispersion properties and input power by experimental data. Variables of models are impeller peripheral speed ( S P sN), superficial gas velocity ( gJ) and pulp density ( ) and final form of models are dP J0.486 0.01232 1041 exp 710s g dd N P","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"Gas dispersion properties include bubble size ( 32), gas holdup (d g ) and bubble surface area flux ( b) and input power ( ) are effective parameters on flotation performance. During the last 10 years, some investigations have been carried out to measure these parameters in mechanical flotation cells. In this research, some models are created to estimate gas dispersion properties and input power by experimental data. Variables of models are impeller peripheral speed ( S P sN), superficial gas velocity ( gJ) and pulp density ( ) and final form of models are dP J0.486 0.01232 1041 exp 710s g dd N P","internal_url":"https://www.academia.edu/70829059/The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells","translated_internal_url":"","created_at":"2022-02-07T02:43:12.070-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_Empirical_Prediction_of_Gas_Dispersion_Parameters_on_Mechanical_Flotation_Cells","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":39857,"name":"Molecular Imaging","url":"https://www.academia.edu/Documents/in/Molecular_Imaging"},{"id":1523721,"name":"Gas dispersion","url":"https://www.academia.edu/Documents/in/Gas_dispersion"},{"id":3640348,"name":"Input Power","url":"https://www.academia.edu/Documents/in/Input_Power"}],"urls":[{"id":17419458,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.976.2288\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="70829056"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/70829056/The_Effect_of_Hydrodynamic_Parameters_in_Coarse_Particles_Flotation"><img alt="Research paper thumbnail of The Effect of Hydrodynamic Parameters in Coarse Particles Flotation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/70829056/The_Effect_of_Hydrodynamic_Parameters_in_Coarse_Particles_Flotation">The Effect of Hydrodynamic Parameters in Coarse Particles Flotation</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="70829056"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="70829056"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829056; 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$(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="70829050"><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/70829050/The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles"><img alt="Research paper thumbnail of The Effect of Bubble Surface Area Flux on Flotation Efficiency of Pyrite Particles" class="work-thumbnail" src="https://attachments.academia-assets.com/80413070/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/70829050/The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles">The Effect of Bubble Surface Area Flux on Flotation Efficiency of Pyrite Particles</a></div><div class="wp-workCard_item"><span>Iranian Journal of Chemistry & Chemical Engineering-international English Edition</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this research, the effect of bubble surface area flux, S b, and particle size on flotation rat...</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 effect of bubble surface area flux, S b, and particle size on flotation rate constant, k, of pyrite (FeS 2) particles was studied using bubble-particle interactions. The bubble-particle collision, attachment and detachment efficiencies were calculated under different flow regimes. The k increased with increase in the collision efficiency and decrease in the detachment efficiency. Also the bubble-particle collection efficiency increased with increase in the Sb. Thus difficulty in the floating of fine particles was attributed to low efficiency of the bubble-particle collision efficiency while difficulty in the floating of coarse particles was due to high efficiency of bubble-particle detachment. Maximum collision, attachment and detachment efficiencies were obtained as 81.57%, 50.60% and 51.89%, respectively.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7153208213f97a362582bc62c8783163" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413070,"asset_id":70829050,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413070/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829050"><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="70829050"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829050; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829050]").text(description); $(".js-view-count[data-work-id=70829050]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829050; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829050']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829050, 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: "7153208213f97a362582bc62c8783163" } } $('.js-work-strip[data-work-id=70829050]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829050,"title":"The Effect of Bubble Surface Area Flux on Flotation Efficiency of Pyrite Particles","translated_title":"","metadata":{"abstract":"In this research, the effect of bubble surface area flux, S b, and particle size on flotation rate constant, k, of pyrite (FeS 2) particles was studied using bubble-particle interactions. The bubble-particle collision, attachment and detachment efficiencies were calculated under different flow regimes. The k increased with increase in the collision efficiency and decrease in the detachment efficiency. Also the bubble-particle collection efficiency increased with increase in the Sb. Thus difficulty in the floating of fine particles was attributed to low efficiency of the bubble-particle collision efficiency while difficulty in the floating of coarse particles was due to high efficiency of bubble-particle detachment. Maximum collision, attachment and detachment efficiencies were obtained as 81.57%, 50.60% and 51.89%, respectively.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Iranian Journal of Chemistry \u0026 Chemical Engineering-international English Edition"},"translated_abstract":"In this research, the effect of bubble surface area flux, S b, and particle size on flotation rate constant, k, of pyrite (FeS 2) particles was studied using bubble-particle interactions. The bubble-particle collision, attachment and detachment efficiencies were calculated under different flow regimes. The k increased with increase in the collision efficiency and decrease in the detachment efficiency. Also the bubble-particle collection efficiency increased with increase in the Sb. Thus difficulty in the floating of fine particles was attributed to low efficiency of the bubble-particle collision efficiency while difficulty in the floating of coarse particles was due to high efficiency of bubble-particle detachment. Maximum collision, attachment and detachment efficiencies were obtained as 81.57%, 50.60% and 51.89%, respectively.","internal_url":"https://www.academia.edu/70829050/The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles","translated_internal_url":"","created_at":"2022-02-07T02:43:05.798-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413070,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413070/thumbnails/1.jpg","file_name":"article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf","download_url":"https://www.academia.edu/attachments/80413070/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Bubble_Surface_Area_Flux_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413070/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Bubble_Surface_Area_Flux_o.pdf\u0026Expires=1733199951\u0026Signature=eKIFD~VT-s9QlF35IdijF19cuInN4VU~~LIzc--2OPPQl7n1XowiMD69rHy5ZBHwunlvkxLvkKJ9W1C~yWD7b3WbvxffFW6mNAfzplDAj379K8MUToc8YcqGoOQbWHAAHyx4m45ABKtnHRXo17Cea1PHW-KbOO3ribr1MtVs8w3o~LV54MJWlxqF-EtAUPfQgAqCddeITsa7eVvpM0mLDSpzGNaeyro7GtvXy6PpfYVTTCpPyn1SUSrm9Zkov1SIy89Z6HjYzDjWorupI1ZIe8v-2~H~y4kcWR9hwFot1qXFBCrFGfddnlQ8UBLyTzARrlRSh48d0IHtPbacdYDL6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Effect_of_Bubble_Surface_Area_Flux_on_Flotation_Efficiency_of_Pyrite_Particles","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413070,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413070/thumbnails/1.jpg","file_name":"article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf","download_url":"https://www.academia.edu/attachments/80413070/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Bubble_Surface_Area_Flux_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413070/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Bubble_Surface_Area_Flux_o.pdf\u0026Expires=1733199951\u0026Signature=eKIFD~VT-s9QlF35IdijF19cuInN4VU~~LIzc--2OPPQl7n1XowiMD69rHy5ZBHwunlvkxLvkKJ9W1C~yWD7b3WbvxffFW6mNAfzplDAj379K8MUToc8YcqGoOQbWHAAHyx4m45ABKtnHRXo17Cea1PHW-KbOO3ribr1MtVs8w3o~LV54MJWlxqF-EtAUPfQgAqCddeITsa7eVvpM0mLDSpzGNaeyro7GtvXy6PpfYVTTCpPyn1SUSrm9Zkov1SIy89Z6HjYzDjWorupI1ZIe8v-2~H~y4kcWR9hwFot1qXFBCrFGfddnlQ8UBLyTzARrlRSh48d0IHtPbacdYDL6A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":80413069,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413069/thumbnails/1.jpg","file_name":"article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf","download_url":"https://www.academia.edu/attachments/80413069/download_file","bulk_download_file_name":"The_Effect_of_Bubble_Surface_Area_Flux_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413069/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Bubble_Surface_Area_Flux_o.pdf\u0026Expires=1733199951\u0026Signature=Cvzo3G~mD8dHp9-6xoercyGvNSeERB2bfmLuw3XClzS4kyQDC0riGYDJfhktqy9GpNJO6axb~LE0KBYciGEhQiVF3fl54rVF5a7~pJB~kbRxXAm9jAl-XyHAYCRNwz7BefnTScMdgK0o1rFf0iXytW7gBGvDOsYmEwsz85L1EMMptbRsH3JT0Fz0oAfstvrpNXPopSkxyTMGYKbT5jNS015z~BCCh8eNemXym~xH4P-nVVMizvBu5esS~yLQKr-k~R3f38zZSuefC83tEgXxy4R6PNjhHEvciPAUp4Mj9HTxLhnaCZXXNlXazUeNc7mJt-E7Iecvb-wypwI4rnBT8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":91031,"name":"Attachment","url":"https://www.academia.edu/Documents/in/Attachment"},{"id":171868,"name":"COLLISION","url":"https://www.academia.edu/Documents/in/COLLISION"}],"urls":[{"id":17419454,"url":"http://www.ijcce.ac.ir/article_5895_f9fd35cab9e769a60f7b7fa2f2f4c7c9.pdf"}]}, 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="70829043"><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/70829043/Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation"><img alt="Research paper thumbnail of Effect of Dimensionless Hydrodynamic Parameters on Coarse Particles Flotation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829043/Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation">Effect of Dimensionless Hydrodynamic Parameters on Coarse Particles Flotation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The upper particle size is an important parameter inflotation operation and the sharp decrease 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 upper particle size is an important parameter inflotation operation and the sharp decrease of flotation responsewhen particle size approaches such a limit is well knownphenomenon. Nowadays, particle size is often measured andcontrolled in flotation concentrators. In this study the depen-dence of the dimensionless hydrodynamic parameters(Reynolds Number-Re, Froude Number-Fr and Weber Number-We) on the particle size variation was investigated on thequartz particles using laboratory mechanical flotation cell.Maximum flotation response was observed at Re = 89800, Fr= 2.4 and We = 1558. For either more quiescent (Re 106200 and Fr &gt;3.35) conditions, flotation recovery decreased steadily.Under more quiescent hydrodynamic conditions, the lowerrecovery was due to the fact that the impeller was not capableof keeping particles in suspension properly whereas undermore turbulent conditions the disruption of particle/bubbleaggregate was intensively observed. Furthermore, amount ofcollision...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829043"><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="70829043"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829043; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829043]").text(description); $(".js-view-count[data-work-id=70829043]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829043; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829043']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829043, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829043]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829043,"title":"Effect of Dimensionless Hydrodynamic Parameters on Coarse Particles Flotation","translated_title":"","metadata":{"abstract":"The upper particle size is an important parameter inflotation operation and the sharp decrease of flotation responsewhen particle size approaches such a limit is well knownphenomenon. Nowadays, particle size is often measured andcontrolled in flotation concentrators. In this study the depen-dence of the dimensionless hydrodynamic parameters(Reynolds Number-Re, Froude Number-Fr and Weber Number-We) on the particle size variation was investigated on thequartz particles using laboratory mechanical flotation cell.Maximum flotation response was observed at Re = 89800, Fr= 2.4 and We = 1558. For either more quiescent (Re 106200 and Fr \u0026gt;3.35) conditions, flotation recovery decreased steadily.Under more quiescent hydrodynamic conditions, the lowerrecovery was due to the fact that the impeller was not capableof keeping particles in suspension properly whereas undermore turbulent conditions the disruption of particle/bubbleaggregate was intensively observed. Furthermore, amount ofcollision...","publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":"The upper particle size is an important parameter inflotation operation and the sharp decrease of flotation responsewhen particle size approaches such a limit is well knownphenomenon. Nowadays, particle size is often measured andcontrolled in flotation concentrators. In this study the depen-dence of the dimensionless hydrodynamic parameters(Reynolds Number-Re, Froude Number-Fr and Weber Number-We) on the particle size variation was investigated on thequartz particles using laboratory mechanical flotation cell.Maximum flotation response was observed at Re = 89800, Fr= 2.4 and We = 1558. For either more quiescent (Re 106200 and Fr \u0026gt;3.35) conditions, flotation recovery decreased steadily.Under more quiescent hydrodynamic conditions, the lowerrecovery was due to the fact that the impeller was not capableof keeping particles in suspension properly whereas undermore turbulent conditions the disruption of particle/bubbleaggregate was intensively observed. Furthermore, amount ofcollision...","internal_url":"https://www.academia.edu/70829043/Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation","translated_internal_url":"","created_at":"2022-02-07T02:43:03.056-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_Dimensionless_Hydrodynamic_Parameters_on_Coarse_Particles_Flotation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":530,"name":"Inorganic Chemistry","url":"https://www.academia.edu/Documents/in/Inorganic_Chemistry"}],"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="70829040"><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/70829040/Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method"><img alt="Research paper thumbnail of Mercury Removal from Sea Sediments Using Electrokinetics Method" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829040/Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method">Mercury Removal from Sea Sediments Using Electrokinetics Method</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of the present work was to discover the efficient variants to remove mercury and its toxi...</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 aim of the present work was to discover the efficient variants to remove mercury and its toxic compositions from contaminated regions around Bandar Imam Petrochemical Complex (in Persian Gulf) by which the environment and human health will be safe. Analysis for cleaning was done by electrokinetics method. According to aforementioned goal, the following problems were posed: • To study and analyze cleaning methods and efficiency of different types of soil contaminated with mercury. • To determine such expedient tension of power which is used in electrokinetics method by which it will be possible to reach the maximum efficiency. • To reveal such expedient compound of solutions which is used in electrokinetics method during electrolysis by which it will be possible to reach the maximum efficiency. • To discover all the preventing factors which result in the decrease of the efficiency of cleaning processes. Also to discover all the optimal factors which result in the increase of the ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829040"><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="70829040"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829040; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829040]").text(description); $(".js-view-count[data-work-id=70829040]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829040; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829040']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829040, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829040]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829040,"title":"Mercury Removal from Sea Sediments Using Electrokinetics Method","translated_title":"","metadata":{"abstract":"The aim of the present work was to discover the efficient variants to remove mercury and its toxic compositions from contaminated regions around Bandar Imam Petrochemical Complex (in Persian Gulf) by which the environment and human health will be safe. Analysis for cleaning was done by electrokinetics method. According to aforementioned goal, the following problems were posed: • To study and analyze cleaning methods and efficiency of different types of soil contaminated with mercury. • To determine such expedient tension of power which is used in electrokinetics method by which it will be possible to reach the maximum efficiency. • To reveal such expedient compound of solutions which is used in electrokinetics method during electrolysis by which it will be possible to reach the maximum efficiency. • To discover all the preventing factors which result in the decrease of the efficiency of cleaning processes. Also to discover all the optimal factors which result in the increase of the ...","publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":"The aim of the present work was to discover the efficient variants to remove mercury and its toxic compositions from contaminated regions around Bandar Imam Petrochemical Complex (in Persian Gulf) by which the environment and human health will be safe. Analysis for cleaning was done by electrokinetics method. According to aforementioned goal, the following problems were posed: • To study and analyze cleaning methods and efficiency of different types of soil contaminated with mercury. • To determine such expedient tension of power which is used in electrokinetics method by which it will be possible to reach the maximum efficiency. • To reveal such expedient compound of solutions which is used in electrokinetics method during electrolysis by which it will be possible to reach the maximum efficiency. • To discover all the preventing factors which result in the decrease of the efficiency of cleaning processes. Also to discover all the optimal factors which result in the increase of the ...","internal_url":"https://www.academia.edu/70829040/Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method","translated_internal_url":"","created_at":"2022-02-07T02:43:00.103-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Mercury_Removal_from_Sea_Sediments_Using_Electrokinetics_Method","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"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="70829032"><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/70829032/The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation"><img alt="Research paper thumbnail of The Effect of Type and Dosage of Frothers on Coarse Particles Flotation" class="work-thumbnail" src="https://attachments.academia-assets.com/80413063/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/70829032/The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation">The Effect of Type and Dosage of Frothers on Coarse Particles Flotation</a></div><div class="wp-workCard_item"><span>Iranian Journal of Chemistry & Chemical Engineering-international English Edition</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Frothers have a profound effect on bubble size and also flotation efficiency. In present study th...</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">Frothers have a profound effect on bubble size and also flotation efficiency. In present study the effect of type and dosage of frothers on the flotation response of coarse particles of quartz was investigated. Therefore, flotation response of coarse particles using frothers such as MIBC, pine oil, poly propylene glycol with concentration of 0, 25, 50 and 75 g/t, was obtained respectively. For all used frothers, maximum recovery was obtained around frother dosage of 25 g/t and with increasing frother dosage, flotation recovery decreased. With increasing frother dosage, bubble diameter, d32, decreased and when Poly Propylene Glycol, MIBC and Pine Oil were used as frother, bubble diameter increased. Maximum bubble diameter was obtained around Pine Oil and frother dosage of 25 g/t and minimum bubble diameter was obtained around Poly Propylene Glycol and frother dosage of 75 g/t. As the particle size increased, the probability of collision increased and with using Poly Propylene Glycol,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c004bd65b57bda2a0b2e342d80a68ccd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413063,"asset_id":70829032,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413063/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829032"><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="70829032"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829032; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829032]").text(description); $(".js-view-count[data-work-id=70829032]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829032; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829032']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829032, 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: "c004bd65b57bda2a0b2e342d80a68ccd" } } $('.js-work-strip[data-work-id=70829032]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829032,"title":"The Effect of Type and Dosage of Frothers on Coarse Particles Flotation","translated_title":"","metadata":{"abstract":"Frothers have a profound effect on bubble size and also flotation efficiency. In present study the effect of type and dosage of frothers on the flotation response of coarse particles of quartz was investigated. Therefore, flotation response of coarse particles using frothers such as MIBC, pine oil, poly propylene glycol with concentration of 0, 25, 50 and 75 g/t, was obtained respectively. For all used frothers, maximum recovery was obtained around frother dosage of 25 g/t and with increasing frother dosage, flotation recovery decreased. With increasing frother dosage, bubble diameter, d32, decreased and when Poly Propylene Glycol, MIBC and Pine Oil were used as frother, bubble diameter increased. Maximum bubble diameter was obtained around Pine Oil and frother dosage of 25 g/t and minimum bubble diameter was obtained around Poly Propylene Glycol and frother dosage of 75 g/t. As the particle size increased, the probability of collision increased and with using Poly Propylene Glycol,...","publication_date":{"day":null,"month":null,"year":2009,"errors":{}},"publication_name":"Iranian Journal of Chemistry \u0026 Chemical Engineering-international English Edition"},"translated_abstract":"Frothers have a profound effect on bubble size and also flotation efficiency. In present study the effect of type and dosage of frothers on the flotation response of coarse particles of quartz was investigated. Therefore, flotation response of coarse particles using frothers such as MIBC, pine oil, poly propylene glycol with concentration of 0, 25, 50 and 75 g/t, was obtained respectively. For all used frothers, maximum recovery was obtained around frother dosage of 25 g/t and with increasing frother dosage, flotation recovery decreased. With increasing frother dosage, bubble diameter, d32, decreased and when Poly Propylene Glycol, MIBC and Pine Oil were used as frother, bubble diameter increased. Maximum bubble diameter was obtained around Pine Oil and frother dosage of 25 g/t and minimum bubble diameter was obtained around Poly Propylene Glycol and frother dosage of 75 g/t. As the particle size increased, the probability of collision increased and with using Poly Propylene Glycol,...","internal_url":"https://www.academia.edu/70829032/The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation","translated_internal_url":"","created_at":"2022-02-07T02:42:56.004-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413063,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413063/thumbnails/1.jpg","file_name":"article_6920_5168d984a1a910c2afcf697f8def8983.pdf","download_url":"https://www.academia.edu/attachments/80413063/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Type_and_Dosage_of_Frother.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413063/article_6920_5168d984a1a910c2afcf697f8def8983-libre.pdf?1644231077=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Type_and_Dosage_of_Frother.pdf\u0026Expires=1733199951\u0026Signature=DgYOEogJMvBy-wuAmUpm1ANr0PzEtJPCa4E5rS-ofT3UCyl9E0uTnTVu6fpZ41jnrxkiFqDYefmL2-9GE0ujMZeAbJJIP88BpyIiNryRr32o-rbgwevoSzy4iT-xer3gbpGSpylSr2GEFqNtwfEmgdqc3UVo8w35QYFGj9VJgETJvmhSLgIbV~9O-CTCPMSRRO96Zf2pUVnC5RkbBfX8jItxS0Ujfwr5TtuFMhqvkgqCmScNTbh5zkPZGhvmu7CfNY7k8~kLD~sr22WdA1rkFoB0HPRoXomlOUkzRZNpSdjalZL0uf4wX-WI06jH3-X4LPOyjqzeJoGR3Mdj4o-J8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Effect_of_Type_and_Dosage_of_Frothers_on_Coarse_Particles_Flotation","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413063,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413063/thumbnails/1.jpg","file_name":"article_6920_5168d984a1a910c2afcf697f8def8983.pdf","download_url":"https://www.academia.edu/attachments/80413063/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Effect_of_Type_and_Dosage_of_Frother.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413063/article_6920_5168d984a1a910c2afcf697f8def8983-libre.pdf?1644231077=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Type_and_Dosage_of_Frother.pdf\u0026Expires=1733199951\u0026Signature=DgYOEogJMvBy-wuAmUpm1ANr0PzEtJPCa4E5rS-ofT3UCyl9E0uTnTVu6fpZ41jnrxkiFqDYefmL2-9GE0ujMZeAbJJIP88BpyIiNryRr32o-rbgwevoSzy4iT-xer3gbpGSpylSr2GEFqNtwfEmgdqc3UVo8w35QYFGj9VJgETJvmhSLgIbV~9O-CTCPMSRRO96Zf2pUVnC5RkbBfX8jItxS0Ujfwr5TtuFMhqvkgqCmScNTbh5zkPZGhvmu7CfNY7k8~kLD~sr22WdA1rkFoB0HPRoXomlOUkzRZNpSdjalZL0uf4wX-WI06jH3-X4LPOyjqzeJoGR3Mdj4o-J8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":80413064,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413064/thumbnails/1.jpg","file_name":"article_6920_5168d984a1a910c2afcf697f8def8983.pdf","download_url":"https://www.academia.edu/attachments/80413064/download_file","bulk_download_file_name":"The_Effect_of_Type_and_Dosage_of_Frother.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413064/article_6920_5168d984a1a910c2afcf697f8def8983-libre.pdf?1644231076=\u0026response-content-disposition=attachment%3B+filename%3DThe_Effect_of_Type_and_Dosage_of_Frother.pdf\u0026Expires=1733199951\u0026Signature=Vl2rCCJs2g0x7DHp10Fzm9S1RuqwJx4nlm6fHvvnnyvd1Pt~ZQPTrxGePV4eCsx7oScpr9VahhDQ2u3rYvnUMusxCkevNy~ySDerqLQTJU1SPbeCF8lJkO5sJbKDfezP5YH4eBkH8I9i-YHrUtTqkKIf0EL4tKMbXb1rqQCeyhCkIQw4vot50AhZ2sgXmQ-GDkBvdMA~04zPRQ6lWbO-dOsQl0~xlxSOZ2JgtYpiXZfQyzGWwJOjr6C7z2O8JawnSO4CHqQBj9jn1FzdauFaPY~7Ff5eNa3oBSqB921cvHVmS8G9IuytbrtkI-evxuP5u3oXLToKisMUl74puuDZEQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"}],"urls":[{"id":17419452,"url":"http://www.ijcce.ac.ir/article_6920_5168d984a1a910c2afcf697f8def8983.pdf"}]}, dispatcherData: dispatcherData }); 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The present study investigates the effect of six key factors on generating submicron-sized bubbles and its application to coarse-sized quartz flotation. Interaction of influential factors is highlighted, which was generally overlooked in previous studies. These parameters i.e. frother type (MIBC and A65), frother dosage (50-130 mg/L), air flow rate (0.1-0.4 L/min), pressure in Venturi tube (250-400 kPa), liquid temperature (22-42 °C) and pH (6-10) were evaluated through software based statistical fractional factorial design. The size distribution of NBs produced by the principle of hydrodynamic cavitation was measured using a laser particle size analyzer (LPSA), and Sauter mean bubble diameter (d32) was considered as the response of experimental design. Batch flotation experiments were performed with and without the A65 and MIBC-NBs. The results of experimental design showed that relative intensity of the main factors followed the order of air flow rate\u003etemperature\u003efrother type as the most effective parameters on the bubble size. It was revealed that the lowest air flow rate (0.1 L/min) produced the smallest bubbles. Meanwhile, the d32 decreased as the liquid temperature increased, and the bubble size strongly was related to the frother type and its concentration. Indeed, with changing frother from MIBC to A65, the reduction in mean bubble size was twofold. Interaction of frother type with its dosage, air flow rate and pressure were statistically recognized significant on the mean bubble size, which was confirmed by p-values. Finally, flotation recovery of quartz particles improved ca. 22% in the presence of NBs compared to the conventional flotation.","publication_name":"Physicochemical Problems of Mineral Processing","grobid_abstract_attachment_id":80413116},"translated_abstract":null,"internal_url":"https://www.academia.edu/70829028/Study_of_effective_parameters_on_generating_submicron_nano_bubbles_using_the_hydrodynamic_cavitation","translated_internal_url":"","created_at":"2022-02-07T02:42:53.592-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413116,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413116/thumbnails/1.jpg","file_name":"pdf-126628-54382.pdf","download_url":"https://www.academia.edu/attachments/80413116/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Study_of_effective_parameters_on_generat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413116/pdf-126628-54382-libre.pdf?1644231069=\u0026response-content-disposition=attachment%3B+filename%3DStudy_of_effective_parameters_on_generat.pdf\u0026Expires=1733199951\u0026Signature=Mimr6TkwYsTxEClHbAi54zwdTn94yjB0Fy~SlEdnF3c8o~v7agvLWrgbuY9~6sX82iSZlYBARQxmAK6uEd3Zid18L1b2L9eI77IOJU5vxzJ4Q9F3EkMY9KaPd2zlWAQHYp-h8tk~KmEqutf7M64O75Q40vSezgTcUjPOf1E09VSwKnBkDP55n7fmoCgyEqW-Z3lvwX0KmZdCJGJpCzRpqv2gOqVJrwausE8HHZ52DN85vZCWZw7BDWaB-JHQUiopxKlK6R00JhiIjRP4TtAroCVGJY1n4dOuUhfDKz~IEo3MufPnWRfBXLHfr6BSeeIUwzr1AQaoDayLNUPLo1LTZA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Study_of_effective_parameters_on_generating_submicron_nano_bubbles_using_the_hydrodynamic_cavitation","translated_slug":"","page_count":21,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413116,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413116/thumbnails/1.jpg","file_name":"pdf-126628-54382.pdf","download_url":"https://www.academia.edu/attachments/80413116/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Study_of_effective_parameters_on_generat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413116/pdf-126628-54382-libre.pdf?1644231069=\u0026response-content-disposition=attachment%3B+filename%3DStudy_of_effective_parameters_on_generat.pdf\u0026Expires=1733199951\u0026Signature=Mimr6TkwYsTxEClHbAi54zwdTn94yjB0Fy~SlEdnF3c8o~v7agvLWrgbuY9~6sX82iSZlYBARQxmAK6uEd3Zid18L1b2L9eI77IOJU5vxzJ4Q9F3EkMY9KaPd2zlWAQHYp-h8tk~KmEqutf7M64O75Q40vSezgTcUjPOf1E09VSwKnBkDP55n7fmoCgyEqW-Z3lvwX0KmZdCJGJpCzRpqv2gOqVJrwausE8HHZ52DN85vZCWZw7BDWaB-JHQUiopxKlK6R00JhiIjRP4TtAroCVGJY1n4dOuUhfDKz~IEo3MufPnWRfBXLHfr6BSeeIUwzr1AQaoDayLNUPLo1LTZA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2166,"name":"Surfaces and Interfaces","url":"https://www.academia.edu/Documents/in/Surfaces_and_Interfaces"},{"id":29067,"name":"Surface Chemistry","url":"https://www.academia.edu/Documents/in/Surface_Chemistry"},{"id":651530,"name":"Froth Flotation","url":"https://www.academia.edu/Documents/in/Froth_Flotation"},{"id":1455021,"name":"Micro and Nanobubbles","url":"https://www.academia.edu/Documents/in/Micro_and_Nanobubbles"}],"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="70829023"><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/70829023/Study_relationships_between_flotation_variables_and_recovery_of_coarse_particles_in_the_absence_and_presence_of_nanobubble"><img alt="Research paper thumbnail of Study relationships between flotation variables and recovery of coarse particles in the absence and presence of nanobubble" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829023/Study_relationships_between_flotation_variables_and_recovery_of_coarse_particles_in_the_absence_and_presence_of_nanobubble">Study relationships between flotation variables and recovery of coarse particles in the absence and presence of nanobubble</a></div><div class="wp-workCard_item"><span>Colloids and Surfaces A: Physicochemical and Engineering Aspects</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent investigations indicated that using nanobubbles (NBs) in flotation separation of fine part...</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 investigations indicated that using nanobubbles (NBs) in flotation separation of fine particles (100 μm) in the presence of NBs have not been fully understood. This work was explored how NBs ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829023"><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="70829023"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829023; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829023]").text(description); $(".js-view-count[data-work-id=70829023]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829023; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829023']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829023, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829023]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829023,"title":"Study relationships between flotation variables and recovery of coarse particles in the absence and presence of nanobubble","translated_title":"","metadata":{"abstract":"Recent investigations indicated that using nanobubbles (NBs) in flotation separation of fine particles (100 μm) in the presence of NBs have not been fully understood. 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This work was explored how NBs ...","internal_url":"https://www.academia.edu/70829023/Study_relationships_between_flotation_variables_and_recovery_of_coarse_particles_in_the_absence_and_presence_of_nanobubble","translated_internal_url":"","created_at":"2022-02-07T02:42:49.525-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Study_relationships_between_flotation_variables_and_recovery_of_coarse_particles_in_the_absence_and_presence_of_nanobubble","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":17419449,"url":"https://api.elsevier.com/content/article/PII:S0927775718307635?httpAccept=text/xml"}]}, 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="70829015"><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/70829015/Microwave_Leaching_of_Copper_Smelting_Dust_for_Cu_and_Zn_Extraction"><img alt="Research paper thumbnail of Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/80413053/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/70829015/Microwave_Leaching_of_Copper_Smelting_Dust_for_Cu_and_Zn_Extraction">Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction</a></div><div class="wp-workCard_item"><span>Materials</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Industrial wastes may contain high concentrations of valuable metals. Extraction and recovery 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">Industrial wastes may contain high concentrations of valuable metals. Extraction and recovery of these metals have several economic and environmental advantages. Various studies showed positive effects of microwaves as a pretreatment method before the leaching of minerals. However, there are empty rooms for exploring simultaneous microwave and leaching (microwave-leaching) of industrial waste material for the production of valuable metals. This investigation examined the microwave-leaching method to extract copper and zinc from a copper-smelter dust (CSD). The results of microwave-leaching mechanism were compared with conventional heating leaching based on kinetics modelling. The final Cu recovery in the conventional heating and microwave irradiation was 80.88% and 69.83%, respectively. Kinetic studies indicated that the leaching reactions follow diffusion across the product layer. Based on X-ray powder diffraction (XRD) analyses, during conventional experiments sulfate; components ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9d6658cb341d6dc65d45497ba2d62042" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413053,"asset_id":70829015,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413053/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829015"><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="70829015"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829015; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829015]").text(description); $(".js-view-count[data-work-id=70829015]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829015; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829015']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829015, 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: "9d6658cb341d6dc65d45497ba2d62042" } } $('.js-work-strip[data-work-id=70829015]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829015,"title":"Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction","translated_title":"","metadata":{"abstract":"Industrial wastes may contain high concentrations of valuable metals. 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Kinetic studies indicated that the leaching reactions follow diffusion across the product layer. 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$(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="70829007"><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/70829007/Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks"><img alt="Research paper thumbnail of Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70829007/Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks">Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks</a></div><div class="wp-workCard_item"><span>Separation Science and Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The effects of particle characteristics and hydrodynamic conditions on the flotation rat...</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 The effects of particle characteristics and hydrodynamic conditions on the flotation rate constant (k) and bubble–particle collision efficiency (Ec) of pyrite and chalcopyrite particles were investigated. Experimental results showed that k increases with increase of bubble surface area flux (Sb) and Ec. Artificial neural network (ANN) and multivariable linear regression procedures were used to predict both k and Ec based on the particle characteristics and hydrodynamic conditions. Multivariable linear regression resulted in R2 of 0.6 and 0.93 for k and Ec, respectively. Using an ANN model, R2 as high as 0.98 was achieved in modeling the Ec with regard to the available parameters. The proposed ANN model can be reliably used to determine both k and Ec parameters in froth flotation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70829007"><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="70829007"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829007; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829007]").text(description); $(".js-view-count[data-work-id=70829007]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829007; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829007']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829007, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70829007]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829007,"title":"Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks","translated_title":"","metadata":{"abstract":"ABSTRACT The effects of particle characteristics and hydrodynamic conditions on the flotation rate constant (k) and bubble–particle collision efficiency (Ec) of pyrite and chalcopyrite particles were investigated. Experimental results showed that k increases with increase of bubble surface area flux (Sb) and Ec. Artificial neural network (ANN) and multivariable linear regression procedures were used to predict both k and Ec based on the particle characteristics and hydrodynamic conditions. Multivariable linear regression resulted in R2 of 0.6 and 0.93 for k and Ec, respectively. Using an ANN model, R2 as high as 0.98 was achieved in modeling the Ec with regard to the available parameters. The proposed ANN model can be reliably used to determine both k and Ec parameters in froth flotation.","publisher":"Informa UK Limited","publication_name":"Separation Science and Technology"},"translated_abstract":"ABSTRACT The effects of particle characteristics and hydrodynamic conditions on the flotation rate constant (k) and bubble–particle collision efficiency (Ec) of pyrite and chalcopyrite particles were investigated. Experimental results showed that k increases with increase of bubble surface area flux (Sb) and Ec. Artificial neural network (ANN) and multivariable linear regression procedures were used to predict both k and Ec based on the particle characteristics and hydrodynamic conditions. Multivariable linear regression resulted in R2 of 0.6 and 0.93 for k and Ec, respectively. Using an ANN model, R2 as high as 0.98 was achieved in modeling the Ec with regard to the available parameters. The proposed ANN model can be reliably used to determine both k and Ec parameters in froth flotation.","internal_url":"https://www.academia.edu/70829007/Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks","translated_internal_url":"","created_at":"2022-02-07T02:42:40.910-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Estimation_of_flotation_rate_constant_and_collision_efficiency_using_regression_and_artificial_neural_networks","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":524,"name":"Analytical Chemistry","url":"https://www.academia.edu/Documents/in/Analytical_Chemistry"},{"id":651530,"name":"Froth Flotation","url":"https://www.academia.edu/Documents/in/Froth_Flotation"}],"urls":[{"id":17419440,"url":"https://www.tandfonline.com/doi/pdf/10.1080/01496395.2017.1386216"}]}, 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="70829002"><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/70829002/New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution"><img alt="Research paper thumbnail of New Approach to Quartz Coarse Particles Flotation Using Nanobubbles, Emphasis on the Bubble Size Distribution" class="work-thumbnail" src="https://attachments.academia-assets.com/80413098/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/70829002/New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution">New Approach to Quartz Coarse Particles Flotation Using Nanobubbles, Emphasis on the Bubble Size Distribution</a></div><div class="wp-workCard_item"><span>International Journal of Nanoscience</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigates the influence of bubble size distribution and operational parameters on 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 study investigates the influence of bubble size distribution and operational parameters on the flotation behavior of quartz coarse particles. The parameters evaluated during this study include the different bubble size distribution, air flow rate and impeller speed. Experiments were conducted at three different bubble sizes: 110, 171 and 293[Formula: see text]nm as db(32). Then, the results were compared with common air bubbles of the conventional flotation process. The bubble size distribution was measured using a laser particle size analyzer (LPSA). Results showed that the recovery of [Formula: see text]m particles increased in presence of nano bubbles (NBs) up to 25% compared to the conventional flotation. The maximum recovery of 95.59% was obtained using NBs size of 171[Formula: see text]nm at the impeller speed of 900[Formula: see text]rpm and air flow rate of 30[Formula: see text]l/h. It was also indicated that NBs caused an increasing in flotation recovery for all the sa...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="727fe0c82a6e1472511562f1cb7473a5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413098,"asset_id":70829002,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413098/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70829002"><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="70829002"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70829002; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70829002]").text(description); $(".js-view-count[data-work-id=70829002]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70829002; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70829002']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70829002, 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: "727fe0c82a6e1472511562f1cb7473a5" } } $('.js-work-strip[data-work-id=70829002]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70829002,"title":"New Approach to Quartz Coarse Particles Flotation Using Nanobubbles, Emphasis on the Bubble Size Distribution","translated_title":"","metadata":{"abstract":"This study investigates the influence of bubble size distribution and operational parameters on the flotation behavior of quartz coarse particles. The parameters evaluated during this study include the different bubble size distribution, air flow rate and impeller speed. Experiments were conducted at three different bubble sizes: 110, 171 and 293[Formula: see text]nm as db(32). Then, the results were compared with common air bubbles of the conventional flotation process. The bubble size distribution was measured using a laser particle size analyzer (LPSA). Results showed that the recovery of [Formula: see text]m particles increased in presence of nano bubbles (NBs) up to 25% compared to the conventional flotation. The maximum recovery of 95.59% was obtained using NBs size of 171[Formula: see text]nm at the impeller speed of 900[Formula: see text]rpm and air flow rate of 30[Formula: see text]l/h. It was also indicated that NBs caused an increasing in flotation recovery for all the sa...","publisher":"World Scientific Pub Co Pte Lt","publication_name":"International Journal of Nanoscience"},"translated_abstract":"This study investigates the influence of bubble size distribution and operational parameters on the flotation behavior of quartz coarse particles. The parameters evaluated during this study include the different bubble size distribution, air flow rate and impeller speed. Experiments were conducted at three different bubble sizes: 110, 171 and 293[Formula: see text]nm as db(32). Then, the results were compared with common air bubbles of the conventional flotation process. The bubble size distribution was measured using a laser particle size analyzer (LPSA). Results showed that the recovery of [Formula: see text]m particles increased in presence of nano bubbles (NBs) up to 25% compared to the conventional flotation. The maximum recovery of 95.59% was obtained using NBs size of 171[Formula: see text]nm at the impeller speed of 900[Formula: see text]rpm and air flow rate of 30[Formula: see text]l/h. It was also indicated that NBs caused an increasing in flotation recovery for all the sa...","internal_url":"https://www.academia.edu/70829002/New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution","translated_internal_url":"","created_at":"2022-02-07T02:42:38.271-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413098,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413098/thumbnails/1.jpg","file_name":"article_1074_cfafe2b0e0861073b0d77a0e7997b4ef.pdf","download_url":"https://www.academia.edu/attachments/80413098/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"New_Approach_to_Quartz_Coarse_Particles.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413098/article_1074_cfafe2b0e0861073b0d77a0e7997b4ef-libre.pdf?1644231071=\u0026response-content-disposition=attachment%3B+filename%3DNew_Approach_to_Quartz_Coarse_Particles.pdf\u0026Expires=1733199951\u0026Signature=EAJ9n1gD4falEohwYBKEtwlKnd0bJcu2rENdVFynJz4GdUnNve88q5cVT8~TitKD~PGJQL0MKiMeTcYdKheWnvBQ2D~SZesmwglM30XV4QHIi6lRg6xLzizuoIKGrXGtt1Y5gNKNquw10PydZ3t~0qSYCk~Sj2FN01ZGnky5cPMDw59NIk7Lkhkiu61euBIUDPnH2B44JMZQ-HBfh2N-8j-kCPgh1X99a5WumX~V1dOI48jUqC5-DgXGs48T5ERxsNdnckOV7IqSmR0xT4wzVQI1aWs1~UahxszxXnKiLkpUIOiwF5g6hOG~uQFfaLomIzw3qaounMqr-Z0rUr3Pww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"New_Approach_to_Quartz_Coarse_Particles_Flotation_Using_Nanobubbles_Emphasis_on_the_Bubble_Size_Distribution","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413098,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413098/thumbnails/1.jpg","file_name":"article_1074_cfafe2b0e0861073b0d77a0e7997b4ef.pdf","download_url":"https://www.academia.edu/attachments/80413098/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"New_Approach_to_Quartz_Coarse_Particles.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413098/article_1074_cfafe2b0e0861073b0d77a0e7997b4ef-libre.pdf?1644231071=\u0026response-content-disposition=attachment%3B+filename%3DNew_Approach_to_Quartz_Coarse_Particles.pdf\u0026Expires=1733199951\u0026Signature=EAJ9n1gD4falEohwYBKEtwlKnd0bJcu2rENdVFynJz4GdUnNve88q5cVT8~TitKD~PGJQL0MKiMeTcYdKheWnvBQ2D~SZesmwglM30XV4QHIi6lRg6xLzizuoIKGrXGtt1Y5gNKNquw10PydZ3t~0qSYCk~Sj2FN01ZGnky5cPMDw59NIk7Lkhkiu61euBIUDPnH2B44JMZQ-HBfh2N-8j-kCPgh1X99a5WumX~V1dOI48jUqC5-DgXGs48T5ERxsNdnckOV7IqSmR0xT4wzVQI1aWs1~UahxszxXnKiLkpUIOiwF5g6hOG~uQFfaLomIzw3qaounMqr-Z0rUr3Pww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":17733,"name":"Nanotechnology","url":"https://www.academia.edu/Documents/in/Nanotechnology"},{"id":103213,"name":"Nanoscience","url":"https://www.academia.edu/Documents/in/Nanoscience"}],"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="70828994"><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/70828994/Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation"><img alt="Research paper thumbnail of Effects of nanobubble and hydrodynamic parameters on coarse quartz flotation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70828994/Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation">Effects of nanobubble and hydrodynamic parameters on coarse quartz flotation</a></div><div class="wp-workCard_item"><span>International Journal of Mining Science and Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in 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">Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in practically every flotation process. Coarse quartz flotation has been a long standing problem in various mineral processing plants to reduce milling cost and increase valuable mineral recovery. Based on this, the effects of nanobubbles (NBs) and hydrodynamic parameters on coarse quartz particle flotation were systematically investigated. Mechanical flotation experiments were carried out using the 7 cm and 9 cm diameter impellers in order to produce different hydrodynamic conditions. 900–1300 rpm impeller speeds were used for the 7 cm diameter impeller and 554–786 rpm for the 9 cm diameter impeller. The results show that the presence of NBs increased the flotation recovery of −425 + 106 μm quartz by up to 21%. For the 7 cm diameter impeller, the maximum flotation recoveries of 86.4% and 98% were obtained in the absence and presence of NBs at Reynolds number (Re) of 81,000 and 66,000, respectively. For the 9 cm diameter impeller, the maximum recoveries of 86.3% and 97.5% were obtained in the absence and presence of NBs at Re of 90,000 and 75,000, respectively. NBs increased the flotation rate constant up to 36%.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70828994"><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="70828994"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70828994; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70828994]").text(description); $(".js-view-count[data-work-id=70828994]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70828994; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70828994']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70828994, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70828994]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70828994,"title":"Effects of nanobubble and hydrodynamic parameters on coarse quartz flotation","translated_title":"","metadata":{"abstract":"Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in practically every flotation process. Coarse quartz flotation has been a long standing problem in various mineral processing plants to reduce milling cost and increase valuable mineral recovery. Based on this, the effects of nanobubbles (NBs) and hydrodynamic parameters on coarse quartz particle flotation were systematically investigated. Mechanical flotation experiments were carried out using the 7 cm and 9 cm diameter impellers in order to produce different hydrodynamic conditions. 900–1300 rpm impeller speeds were used for the 7 cm diameter impeller and 554–786 rpm for the 9 cm diameter impeller. The results show that the presence of NBs increased the flotation recovery of −425 + 106 μm quartz by up to 21%. For the 7 cm diameter impeller, the maximum flotation recoveries of 86.4% and 98% were obtained in the absence and presence of NBs at Reynolds number (Re) of 81,000 and 66,000, respectively. For the 9 cm diameter impeller, the maximum recoveries of 86.3% and 97.5% were obtained in the absence and presence of NBs at Re of 90,000 and 75,000, respectively. NBs increased the flotation rate constant up to 36%.","publisher":"Elsevier BV","publication_name":"International Journal of Mining Science and Technology"},"translated_abstract":"Abstract Quartz, the second most abundant mineral in the earth’s crust, is a gangue mineral in practically every flotation process. Coarse quartz flotation has been a long standing problem in various mineral processing plants to reduce milling cost and increase valuable mineral recovery. Based on this, the effects of nanobubbles (NBs) and hydrodynamic parameters on coarse quartz particle flotation were systematically investigated. Mechanical flotation experiments were carried out using the 7 cm and 9 cm diameter impellers in order to produce different hydrodynamic conditions. 900–1300 rpm impeller speeds were used for the 7 cm diameter impeller and 554–786 rpm for the 9 cm diameter impeller. The results show that the presence of NBs increased the flotation recovery of −425 + 106 μm quartz by up to 21%. For the 7 cm diameter impeller, the maximum flotation recoveries of 86.4% and 98% were obtained in the absence and presence of NBs at Reynolds number (Re) of 81,000 and 66,000, respectively. For the 9 cm diameter impeller, the maximum recoveries of 86.3% and 97.5% were obtained in the absence and presence of NBs at Re of 90,000 and 75,000, respectively. NBs increased the flotation rate constant up to 36%.","internal_url":"https://www.academia.edu/70828994/Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation","translated_internal_url":"","created_at":"2022-02-07T02:42:34.497-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effects_of_nanobubble_and_hydrodynamic_parameters_on_coarse_quartz_flotation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"}],"urls":[{"id":17419437,"url":"https://api.elsevier.com/content/article/PII:S2095268618304373?httpAccept=text/xml"}]}, 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="70828985"><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/70828985/Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method"><img alt="Research paper thumbnail of Prediction of froth flotation responses based on various conditioning parameters by Random Forest method" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.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/70828985/Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method">Prediction of froth flotation responses based on various conditioning parameters by Random Forest method</a></div><div class="wp-workCard_item"><span>Colloids and Surfaces A: Physicochemical and Engineering Aspects</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Flotation procedure is a combination of many sub-processes which make its modeling quite...</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 Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d 1 ), and circularity (C p ) and hydrodynamic conditions: bubble Reynolds number (R eb ), energy dissipation (e), and bubble surface area flux (S b )), on the flotation rate constant “ k ” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were S b -R eb -e and d 1 -C p -S b , respectively. The predictive models yield satisfactory results for k and R with R 2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="70828985"><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="70828985"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70828985; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70828985]").text(description); $(".js-view-count[data-work-id=70828985]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70828985; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='70828985']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 70828985, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=70828985]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":70828985,"title":"Prediction of froth flotation responses based on various conditioning parameters by Random Forest method","translated_title":"","metadata":{"abstract":"Abstract Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d 1 ), and circularity (C p ) and hydrodynamic conditions: bubble Reynolds number (R eb ), energy dissipation (e), and bubble surface area flux (S b )), on the flotation rate constant “ k ” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were S b -R eb -e and d 1 -C p -S b , respectively. The predictive models yield satisfactory results for k and R with R 2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.","publisher":"Elsevier BV","publication_name":"Colloids and Surfaces A: Physicochemical and Engineering Aspects"},"translated_abstract":"Abstract Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d 1 ), and circularity (C p ) and hydrodynamic conditions: bubble Reynolds number (R eb ), energy dissipation (e), and bubble surface area flux (S b )), on the flotation rate constant “ k ” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were S b -R eb -e and d 1 -C p -S b , respectively. The predictive models yield satisfactory results for k and R with R 2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.","internal_url":"https://www.academia.edu/70828985/Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method","translated_internal_url":"","created_at":"2022-02-07T02:42:30.156-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Prediction_of_froth_flotation_responses_based_on_various_conditioning_parameters_by_Random_Forest_method","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":17419436,"url":"http://api.elsevier.com/content/article/PII:S0927775717306623?httpAccept=text/xml"}]}, 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="70828978"><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/70828978/Support_vector_regression_modeling_of_coal_flotation_based_on_variable_importance_measurements_by_mutual_information_method"><img alt="Research paper thumbnail of Support vector regression modeling of coal flotation based on variable importance measurements by mutual information method" class="work-thumbnail" src="https://attachments.academia-assets.com/80413089/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/70828978/Support_vector_regression_modeling_of_coal_flotation_based_on_variable_importance_measurements_by_mutual_information_method">Support vector regression modeling of coal flotation based on variable importance measurements by mutual information method</a></div><div class="wp-workCard_item"><span>Measurement</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4d05e7aa47ddd33fad2242a1de513a76" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80413089,"asset_id":70828978,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80413089/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&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="70828978"><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="70828978"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70828978; 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Coal flotation is a complicated multifaceted separation process and many measurable and unmeasurable variables can be considered for its modeling. Therefore, feature selection can be used to save time and cost of measuring irrelevant parameters. Mutual information (MI) as a powerful variable selection tool was used through laboratory measured variables to assess interactions and choose the most effective ones for predictions of R* and k. Feature selection by MI through variables indicated that the best arrangements for the R* and k predictions are the sets of particle Reynolds number-energy dissipation and particle size-bubble Reynolds number, respectively. Correlation of determination (R 2) and difference between laboratory measured and SVR predicted values based on MI selected variables indicated that the SVR can model R* and k quite accurately with R 2 =0.93 and R 2 =0.72, respectively. These results demonstrated that the MI-SVR combination can quite satisfactorily measure the importance of variables, increase interpretability, reduce the risk of overfitting, decrease complexity and generate predictive models for high dimension of variables based on selected features for complicated processing systems.","publication_name":"Measurement","grobid_abstract_attachment_id":80413089},"translated_abstract":null,"internal_url":"https://www.academia.edu/70828978/Support_vector_regression_modeling_of_coal_flotation_based_on_variable_importance_measurements_by_mutual_information_method","translated_internal_url":"","created_at":"2022-02-07T02:42:26.267-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":53214123,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":80413089,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413089/thumbnails/1.jpg","file_name":"110401.pdf","download_url":"https://www.academia.edu/attachments/80413089/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Support_vector_regression_modeling_of_co.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413089/110401-libre.pdf?1644231073=\u0026response-content-disposition=attachment%3B+filename%3DSupport_vector_regression_modeling_of_co.pdf\u0026Expires=1733199951\u0026Signature=g7WxHcAqSzKxbxsXkldfONwGmkKVYe72eG2~3~qaIwq0hu0ayXaTS9j6Y-g2GCSPe2EbyMP-wjG5bzl4DhX9jInoVQ1vn2~TzxWrdr3~BAfbeCg4KDhwb-PczfspNafGLQzlZF6dQtPZTpVYOPDZSukJaljTFZUNfRDP-3YTeNoqPRbOkPks66UdMCYGZFNsX9DYggEJHGMyjYm7SzzXkf8zcE4jJWvrpE0-9uOEWJ4Go5VceiL2NVOD4sO6h6NQcn9i5ScA4xdBVJY2ujO5Z0OjSgvmSCMHHHLLfk4~QOkEtzGcsuMJrMnvQO9z8HWzmWBQBcJ~mkoqYVg761TqJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Support_vector_regression_modeling_of_coal_flotation_based_on_variable_importance_measurements_by_mutual_information_method","translated_slug":"","page_count":3,"language":"en","content_type":"Work","owner":{"id":53214123,"first_name":"Behzad","middle_initials":null,"last_name":"Shahbazi","page_name":"BehzadShahbazi","domain_name":"modares","created_at":"2016-09-09T22:59:01.447-07:00","display_name":"Behzad Shahbazi","url":"https://modares.academia.edu/BehzadShahbazi"},"attachments":[{"id":80413089,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/80413089/thumbnails/1.jpg","file_name":"110401.pdf","download_url":"https://www.academia.edu/attachments/80413089/download_file?st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&st=MTczMzE5NjM1MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Support_vector_regression_modeling_of_co.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/80413089/110401-libre.pdf?1644231073=\u0026response-content-disposition=attachment%3B+filename%3DSupport_vector_regression_modeling_of_co.pdf\u0026Expires=1733199951\u0026Signature=g7WxHcAqSzKxbxsXkldfONwGmkKVYe72eG2~3~qaIwq0hu0ayXaTS9j6Y-g2GCSPe2EbyMP-wjG5bzl4DhX9jInoVQ1vn2~TzxWrdr3~BAfbeCg4KDhwb-PczfspNafGLQzlZF6dQtPZTpVYOPDZSukJaljTFZUNfRDP-3YTeNoqPRbOkPks66UdMCYGZFNsX9DYggEJHGMyjYm7SzzXkf8zcE4jJWvrpE0-9uOEWJ4Go5VceiL2NVOD4sO6h6NQcn9i5ScA4xdBVJY2ujO5Z0OjSgvmSCMHHHLLfk4~QOkEtzGcsuMJrMnvQO9z8HWzmWBQBcJ~mkoqYVg761TqJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics"},{"id":96446,"name":"Measurement","url":"https://www.academia.edu/Documents/in/Measurement"}],"urls":[{"id":17419435,"url":"http://api.elsevier.com/content/article/PII:S0263224117305900?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); 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