Article(id=1314908125048693259, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.04.014, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1772640000000, receivedDateStr=2026-03-05, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428126823, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428126823, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428126823, creator=13701087609, updateTime=1791428126823, updator=13701087609, issue=Issue{id=1314908074188562588, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='4', pageStart='1', pageEnd='266', issueExtLink='null', onlineDate='null', pubDate='1785513600000', pubDateStr='2026-08-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791428114697, creator='13701087609', updateTime=1791430419337, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917740654191268, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917740654191269, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=105, endPage=109, ext={EN=ArticleExt(id=1314908125371654668, articleId=1314908125048693259, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Dynamic Characteristics of Materials and Separation Performance Prediction During Dry Magnetic Separation, columnId=1236276106932842717, journalTitle=Mining and Metallurgical Engineering, columnName=MINERAL PROCESSING, runingTitle=null, highlight=null, articleAbstract=

The force acting on material particles in a dry magnetic separator was systematically investigated. It is found that the motion trajectory of particles during the separation is determined by the combined effects of material magnetic permeability, drum rotation speed of magnetic separator and magnetic field intensity. With a certain dry magnetic separator as an example, the dynamic separation process of materials during magnetic separation was calculated, and then verified by performing a test on dry magnetic separation of ilmenite. The results show that the average deviation between the predicted trajectory and the actual trajectory of simulated particles is within 8%. It is concluded that the dynamic simulation method can satisfactorily predict the motion trajectory of liberated magnetic minerals.

, authors=Yongzhe SONG, Shanglin ZENG, Shengguang ZHANG, Ran LI, authorsList=Yongzhe SONG, Shanglin ZENG, Shengguang ZHANG, Ran LI, 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=1314908125749142029, articleId=1314908125048693259, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=干式磁选过程中物料的动态特性及分选效果预测, columnId=1236276107125780707, journalTitle=矿冶工程杂志, columnName=选矿, runingTitle=null, highlight=null, articleAbstract=

系统研究了物料在干式磁选机中的受力情况，发现物料磁导率、磁选机滚筒转速以及磁场强度的共同作用决定了物料的分选轨迹。以某干式磁选机为例，计算了物料在磁选过程中的动态分离过程，并进行了钛铁矿干式磁选验证试验，结果表明，仿真得到的物料预测轨迹与实际轨迹平均误差在8%以内。采用动力学模拟方法可以较好地预测独立磁性矿物的运动轨迹。

, authors=宋永喆, 曾尚林, 张胜广, 李然, authorsList=宋永喆, 曾尚林, 张胜广, 李然, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=kE+M5NGjKAPw+Clqa9ZnzA==, magXml=+uYx078fcVtb44pDQ4ROEA==, pdfUrl=null, pdf=m3/3aURnPV7KxX6x1H/5qA==, pdfFileSize=1236751, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Q83XqykNA7V25hXUJmKZew==, mapNumber=null, fund=null)}, authors=[Author(id=1314908127737242132, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908125048693259, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=307366254@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314908127892431382, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908125048693259, authorId=1314908127737242132, language=EN, stringName=Yongzhe SONG, firstName=Yongzhe, middleName=null, lastName=SONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Changsha Research Institute of Mining & Metallurgy Co., Ltd., Changsha 410012, Hunan, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314908127959540247, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908125048693259, authorId=1314908127737242132, language=CN, stringName=宋永喆, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=长沙矿冶研究院有限责任公司，湖南 长沙 410012, bio={"content":"

宋永喆（1999—），男，山东济宁人，硕士，主要研究方向为选矿过程智能控制。E-mail: 307366254@qq.com

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宋永喆（1999—），男，山东济宁人，硕士，主要研究方向为选矿过程智能控制。E-mail: 307366254@qq.com

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