Article(id=1321895074795999960, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321894989857141221, 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=1753372800000, receivedDateStr=2025-07-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093945454, onlineDateStr=2026-10-27, pubDate=1787587200000, pubDateStr=2026-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093945454, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093945454, creator=13701087609, updateTime=1793093945454, updator=13701087609, issue=Issue{id=1321894989857141221, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='8', pageStart='1', pageEnd='324', issueExtLink='null', onlineDate='null', pubDate='1787587200000', pubDateStr='2026-08-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793093925203, creator='13701087609', updateTime=1793094606751, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897848535372687, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321894989857141221, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897848535372688, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321894989857141221, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=316, endPage=324, ext={EN=ArticleExt(id=1321895075257373402, articleId=1321895074795999960, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Experimental Study on Deep Reduction and Iron-Titanium Separation of Titanium-Bearing Hematite Rough Concentrate Based on Thermodynamic Analysis, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Hematite is the main associated mineral in a rutile ore deposit in Hebei Province. The rutile particles are fine and intergrown with or enclosed by hematite. Conventional magnetic separation has poor separation effect, making it difficult to achieve effective separation of iron and titanium. Reduction roasting has been proven as an effective technological approach for achieving efficient liberation of fine-grained iron ores from associated gangue minerals. A mineral quantitative automatic analysis system and scanning electron microscope (SEM) were adopted to clarify the mineral composition, element distribution and other information of the samples. The combined process of deep reduction and magnetic separation was adopted to treat the titanium-bearing hematite rough concentrate. Thermodynamic calculation was used to simulate the reaction behaviors of iron minerals and gangue minerals during the reduction process. The optimal experimental conditions were determined as follows: reduction temperature of 1 623 K, reduction time of 120 min, C/O molar ratio of 2.0, and magnetic field intensity of 85 mT. Under the optimal conditions, the metallization rate of reduced products reaches 78.94%. The total iron grade and total iron recovery of iron concentrate are 89.08% and 88.39%, respectively. The TiO₂ grade and TiO₂ recovery of titanium concentrate are 36.67% and 71.88%, respectively, showing favorable mineral processing and smelting indexes.

, authors=Kaixi Zhang^{1, 2}, Gang Wei^{1, 2}, Jiangtao Tian^{1, 2}, Yangyang Ge^{1, 2}, Su Wang^{1, 2}, Yueming Cao^{1, 2}, Mengle Li¹, authorsList=Kaixi Zhang, Gang Wei, Jiangtao Tian, Yangyang Ge, Su Wang, Yueming Cao, Mengle Li, authorCompany=null, correspAuthors=Gang Wei, 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=1321895075739718363, articleId=1321895074795999960, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于热力学分析的含钛赤铁粗精矿深度还原-铁钛分离试验研究, columnId=1226462297560892399, journalTitle=矿业研究与开发, columnName=选矿与资源综合利用, runingTitle=null, highlight=null, articleAbstract=

河北某金红石矿中赤铁矿为主要伴生物，金红石粒度细微，与赤铁矿呈镶嵌、包裹结构，常规磁选分选效果差，难以实现铁钛有效分离。还原焙烧是实现微细粒铁矿与其他伴生矿物高效解离的有效技术途径。采用矿物定量自动分析系统与扫描电子显微镜，探明了试样的矿物组成、元素分布等信息。采用深度还原-磁选联合工艺处理该含钛赤铁粗精矿，通过热力学计算模拟还原过程中铁矿物及脉石矿物的反应行为，确定最优试验条件为：还原温度1 623 K、还原时间120 min、C/O摩尔比2.0、磁场强度85 mT。最优条件下，还原产物金属化率达78.94%，铁精矿全铁品位和全铁回收率分别为89.08%和88.39%，钛精矿TiO₂品位和TiO₂回收率分别为36.67%和71.88%，选冶指标良好。

, authors=张凯熙^{1, 2}, 危刚^{1, 2}, 田江涛^{1, 2}, 葛阳阳^{1, 2}, 王素^{1, 2}, 曹月明^{1, 2}, 李孟乐¹, authorsList=张凯熙, 危刚, 田江涛, 葛阳阳, 王素, 曹月明, 李孟乐, authorCompany=null, correspAuthors=危刚, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=mAZqtGHD30aYM1f/CqcElw==, magXml=IkwddxqE1eTs4z67otXmsw==, pdfUrl=null, pdf=sRslGwiIvUPtJNsU+Ejidg==, pdfFileSize=2153880, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=GAXmYGL2aEvolSdVqZXH7w==, mapNumber=null, fund=null)}, authors=[Author(id=1321895078143054563, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321895074795999960, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zhangkaixibd@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321895078243717862, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321895074795999960, authorId=1321895078143054563, language=EN, stringName=Kaixi Zhang, firstName=Kaixi, middleName=null, lastName=Zhang, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1.Hebei Geological Experiment and Testing Center, Baoding, Hebei 071052, China
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张凯熙（1989—），男，河北邢台人，硕士，高级工程师，主要从事矿物分选、矿产资源综合利用等方面的研究工作。E-mail:zhangkaixibd@163.com

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张凯熙（1989—），男，河北邢台人，硕士，高级工程师，主要从事矿物分选、矿产资源综合利用等方面的研究工作。E-mail:zhangkaixibd@163.com

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