Article(id=1236334641095954486, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236334630450819368, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2023.06.018, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1687017600000, receivedDateStr=2023-06-18, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1772694748424, onlineDateStr=2026-03-05, pubDate=1701360000000, pubDateStr=2023-12-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772694748424, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772694748424, creator=13701087609, updateTime=1772694748424, updator=13701087609, issue=Issue{id=1236334630450819368, tenantId=1146029695717560320, journalId=1235980550691926019, year='2023', volume='43', issue='6', pageStart='1', pageEnd='183', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772694745886, creator=13701087609, updateTime=1772694896382, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236335261735506524, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236334630450819368, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236335261735506525, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236334630450819368, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=83, endPage=87, ext={EN=ArticleExt(id=1236334641356001355, articleId=1236334641095954486, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Optimization of High Intensity Magnetic Separation Process for Fine Ore in JISCO, columnId=1236276106932842717, journalTitle=Mining and Metallurgical Engineering, columnName=MINERAL PROCESSING, runingTitle=null, highlight=null, articleAbstract=

In view of problems such as low grade of iron concentrate and low metal recovery for 0-15 mm fine ore in JISCO by adopting high-intensity magnetic separation process, experimental researches were conducted, including pre-concentration for tailings discarding, optimization of grinding-separation process and enhancing recovery of tailings by selective flocculation and magnetic seed magnetization. The results show that, the pre-concentration can effectively discard the surrounding rock and gangues that affect the separation indices, thus improving the grade of feed to grinding and separation. Tower grinding of rough concentrate can avoid overgrinding, and the recovery of magnetic concentrate can be increased by 5.32%, while concentrates have similar grade. Selective flocculation and magnetic seed magnetization can further improve metal recovery and reduce iron grade of tailings. An iron concentrate with TFe grade of 48.29% and recovery of 82.90% can be collected over the whole process. The scanning electron microscopy and infrared spectroscopy analyses show that caustic starch can establish bridges between target minerals and magnetic seeds, and it can be adsorbed onto target minerals mainly in the forms of chemisorption and hydrogen bonding, which can reduce the inclusion of gangue minerals in magnetic flocs and improve significantly the iron recovery while ensuring the iron grade of concentrate.

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针对酒钢0～15 mm粉矿生产中存在的精矿铁品位低、金属回收率低的问题，进行了预选抛尾、改善磨选流程以及尾矿选择性絮凝磁种磁化强化回收试验研究。结果表明，预选抛尾能有效抛除影响选别指标的围岩、脉石从而提高磨选原矿品位；粗选精矿塔磨处理能减少过磨现象，在精矿品位相近的情况下，回收率提高了5.32个百分点；磁选尾矿选择性絮凝磁种磁化处理能进一步提高金属回收率并降低尾矿铁品位。全流程最终可获得精矿TFe品位48.29%、回收率82.90%的指标。扫描电镜和红外光谱表征结果表明，苛性淀粉能在目的矿物与磁种间建立架桥，苛性淀粉与目的矿物之间的吸附主要为化学吸附和氢键，这使得磁性絮团中脉石矿物夹杂减少，能在保证精矿铁品位的同时大幅提高铁回收率。

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^2．冶金矿产资源高效利用与造块湖北省重点实验室，湖北 武汉 430081, bio={"content":"

张涛（1998—），男，河南信阳人，硕士研究生，主要研究方向为复杂铁矿分选。

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张涛（1998—），男，河南信阳人，硕士研究生，主要研究方向为复杂铁矿分选。

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