Article(id=1321893418763145380, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893331622286028, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1753804800000, receivedDateStr=2025-07-30, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093550624, onlineDateStr=2026-10-27, pubDate=1784908800000, pubDateStr=2026-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093550624, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093550624, creator=13701087609, updateTime=1793093550624, updator=13701087609, issue=Issue{id=1321893331622286028, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='7', pageStart='1', pageEnd='320', issueExtLink='null', onlineDate='null', pubDate='1784908800000', pubDateStr='2026-07-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793093529849, creator='13701087609', updateTime=1793094587578, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897768357048353, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893331622286028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897768357048354, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893331622286028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=276, endPage=282, ext={EN=ArticleExt(id=1321893418956083365, articleId=1321893418763145380, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Simulation of Flocculation Kinetics of Fine Mineral Particles Based on CFD-PBM Coupling, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Considering the characteristics of turbulent flow field and the influence of process parameters on particle flocculation behavior, a particle flocculation kinetic mathematical model based on local turbulent energy dissipation rate and slurry viscosity correction was established using the CFD-PBM coupling method. On the basis of test verification of flow velocity and average particle size distribution of flocs, the influence of feed volume concentration on flocculation behavior in deep cone thickener was studied. The results show that the energy dissipation rate of turbulent flow above the annular baffle in the feedwell is about 2 orders of magnitude higher than that in the lower area, and the energy dissipation rate of turbulent flow below the baffle first increases and then decreases with the increase of feed volume concentration. The average particle size of flocs first increases and then decreases with the increase of feed volume concentration, and the average particle size of flocs is larger under the condition of medium feed volume concentration (10%). Appropriately increasing the length of the feedwell can improve the flocculation effect of fine mineral particles. The research results can provide guidance for modeling turbulent flocculation kinetics and optimizing flocculation thickening process parameters.
, authors=Xuetao Wang
1, Zhiran Mao
1, Yuchen Shao
1, Yulian Wang
1, Baoyu Cui
2, Yangyang Liu
1, Yisheng Jiang
1, authorsList=Xuetao Wang, Zhiran Mao, Yuchen Shao, Yulian Wang, Baoyu Cui, Yangyang Liu, Yisheng Jiang, authorCompany=null, correspAuthors=Zhiran Mao, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321893419224518822, articleId=1321893418763145380, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于CFD-PBM耦合的微细矿物颗粒絮凝动力学模拟, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=
鉴于湍流场特性及工艺参数对颗粒絮凝行为的影响,采用CFD-PBM耦合方法,建立了基于局部湍流动能耗散率和矿浆黏度修正的颗粒絮凝动力学数学模型。在流场速度和絮团平均粒度分布试验验证的基础上,研究了给料体积浓度对深锥浓密机内絮凝行为的影响。结果表明,给料井内环形挡板上方湍流动能耗散率高于下方区域约两个数量级,且挡板下方湍流动能耗散率随着给料体积浓度的增加先增大后减小;絮团平均粒度随给料体积浓度的增大先增大后减小,中等给料体积浓度(10%)条件下絮团平均粒度较大;适当增加给料井长度可提升微细矿物颗粒的絮凝效果。研究结果可为湍动絮凝动力学建模及絮凝浓密工艺参数优化提供指导。
, authors=王学涛
1, 毛治然
1, 邵宇晨
1, 王余莲
1, 崔宝玉
2, 刘洋洋
1, 蒋沂声
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王学涛(1990—),男,辽宁朝阳人,博士,讲师,主要从事复杂多相流动过程模拟及矿产资源高效综合利用方面的研究工作。E-mail:wangxuetao@sylu.edu.cn
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王学涛(1990—),男,辽宁朝阳人,博士,讲师,主要从事复杂多相流动过程模拟及矿产资源高效综合利用方面的研究工作。E-mail:wangxuetao@sylu.edu.cn
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