Article(id=1321893363859701871, 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=1752076800000, receivedDateStr=2025-07-10, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093537534, onlineDateStr=2026-10-27, pubDate=1784908800000, pubDateStr=2026-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093537534, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093537534, creator=13701087609, updateTime=1793093537534, 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=212, endPage=220, ext={EN=ArticleExt(id=1321893364077805680, articleId=1321893363859701871, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Study on Influencing Factors of Working Performance of Spiral Stirred Mill Based on DEM-CFD Coupling, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=
To establish a working performance prediction model for a vertical spiral stirred mill and determine reasonable model input independent variables, this study systematically investigates the key factors influencing the mill's working performance from the grinding mechanism perspective using a univariate analysis method. Firstly, a numerical simulation model of the spiral stirred mill was established using a coupled discrete element method (DEM) and computational fluid dynamics (CFD) approach. The dynamic characteristics of the grinding media and slurry during the stirring process were analyzed, and the reliability of the simulation model was verified. Subsequently, based on the validated numerical simulation model, the influence laws of process parameters (rotational speed, media filling rate, and slurry mass concentration) and spatial structural parameters (bottom clearance, side clearance, and helix angle) on the mill's working performance (collision energy, driving torque, and energy utilization rate) were systematically analyzed, clarifying the quantitative relationships between each factor and the grinding performance indicators. Finally, a sensitivity analysis method was employed to investigate the degree of influence of each factor on the performance indicators. The research results indicate that, under the premise of satisfying the grinding effect, optimal design values exist for both the mill's spatial dimension design and process parameter selection, which can achieve a balance point between grinding performance and energy utilization rate. Spatial structural parameters exert a stronger influence degree on the mill's energy utilization rate, collision energy, and driving torque compared to process parameters. Among them, the helix angle is the critical parameter affecting the grinding performance of the tower mill and can serve as the core input variable for the mill's performance prediction model.
, authors=Wenda Yu
1, Jiaxuan Cui
1, Defang Zou
1, Jinlu Hu
2, Shebin Lu
3, authorsList=Wenda Yu, Jiaxuan Cui, Defang Zou, Jinlu Hu, Shebin Lu, authorCompany=null, correspAuthors=null, 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=1321893364291715185, articleId=1321893363859701871, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于DEM-CFD耦合的螺旋搅拌磨机工作性能影响因素研究, 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=
为建立立式螺旋搅拌磨机工作性能预报模型并确定合理的模型输入自变量,从粉磨机理出发,采用单变量分析法系统研究了影响磨机工作性能的关键因素。首先,采用离散元法(DEM)与计算流体动力学(CFD)耦合方法建立螺旋搅拌磨机数值仿真模型,分析搅拌过程中研磨介质与矿浆的动力学特性,验证仿真模型的可靠性;然后,基于验证后的数值仿真模型,系统分析工艺参数(转速、介质填充率及矿浆质量浓度)与空间结构参数(底隙、侧隙及螺旋升角)对磨机工作性能(碰撞能、驱动扭矩及能量利用率)的影响规律,明确各因素与粉磨性能指标间的定量关系;最后,采用灵敏度分析法研究各因素影响性能指标的程度。研究结果表明,在满足粉磨效果的前提下,磨机空间尺寸设计与工艺参数选取均存在设计最优值,可达到粉磨性能与能量利用率的平衡点;空间结构参数对磨机能量利用率、碰撞能及驱动扭矩的影响程度强于工艺参数,其中螺旋升角是影响塔磨机粉磨性能的关键参数,可作为塔磨机性能预报模型的核心输入变量。
, authors=于文达
1, 崔家璇
1, 邹德芳
1, 胡金璐
2, 路社斌
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1.沈阳建筑大学 机械工程学院,辽宁 沈阳 110168, bio={"content":"
于文达(1987—),男,辽宁大连人,博士,讲师,主要研究方向为矿山装备数字化建模技术。E-mail:13840574586@163.com
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于文达(1987—),男,辽宁大连人,博士,讲师,主要研究方向为矿山装备数字化建模技术。E-mail:13840574586@163.com
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