Article(id=1236319263527596594, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236316193171239730, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2023.03.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1671033600000, receivedDateStr=2022-12-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1772691082126, onlineDateStr=2026-03-05, pubDate=1685548800000, pubDateStr=2023-06-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772691082126, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772691082126, creator=13701087609, updateTime=1772691082126, updator=13701087609, issue=Issue{id=1236316193171239730, tenantId=1146029695717560320, journalId=1235980550691926019, year='2023', volume='43', issue='3', pageStart='1', pageEnd='179', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772690350096, creator=13701087609, updateTime=1772691872061, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236322576809652696, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236316193171239730, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236322576809652697, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236316193171239730, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=47, endPage=51, ext={EN=ArticleExt(id=1236319263888306758, articleId=1236319263527596594, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Optimization of Flocculation Settlement Parameters of Fine Iron Tailings Slurry by Response Surface Methodology, columnId=1236276106932842717, journalTitle=Mining and Metallurgical Engineering, columnName=MINERAL PROCESSING, runingTitle=null, highlight=null, articleAbstract=

Response surface methodology (RSM) was used to optimize the flocculation settlement parameters of fine iron tailings slurry. According to the Box-Behnken test method in Design-Expert 8.0 software, a three-factor and three-level test was designed to obtain a regression equation of turbidity model for flocculation settlement of fine-grained iron tailings slurry. The results show that with the following favorable flocculation settlement parameters, including addition of inorganic flocculant FeCl₃ at an amount of 113.44 mg/L, organic flocculant PAM at an amount of 0.61 mg/L and stirring speed of 440.57 r/min, the slurry turbidity is predicted to be 11.45NTU, while the measured value is 12.38NTU, indicating that the model has a good accuracy with a small error. Based on the model variance analysis, reliability analysis and factor interaction analysis, it can be verified that RSM is reasonable and feasible to be used for optimizing the flocculation settlement parameters of fine iron tailings slurry, which can provide theoretical basis for its efficient treatment.

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针对细粒铁尾矿浆难以沉降的特点，采用响应曲面法优化细粒铁尾矿浆絮凝沉降条件。根据Design-Expert 8.0软件中的Box-Behnken试验方法设计三因素三水平试验，得到细粒铁尾矿浆絮凝沉降浊度模型的回归方程，结果表明，适宜的絮凝沉降条件为：无机絮凝剂FeCl₃用量113.44 mg/L、有机絮凝剂PAM用量0.61 mg/L、搅拌速度440.57 r/min，在该条件下进行絮凝沉降，预测矿浆浊度11.45NTU，实测矿浆浊度12.38NTU，结果误差较小，模型准确度较好。结合模型方差分析、可信度分析、因素相互作用分析，证实采用响应曲面法优化细粒铁尾矿浆絮凝沉降条件合理可行，可为细粒铁尾矿浆的高效处理提供理论依据。

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牛福生（1974—），男，河北临漳人，博士，教授，博士研究生导师，主要从事金属、非金属矿产资源综合开发利用、复杂细粒矿的选矿工艺、设备、药剂研究开发等方面的教学与研究工作。

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牛福生（1974—），男，河北临漳人，博士，教授，博士研究生导师，主要从事金属、非金属矿产资源综合开发利用、复杂细粒矿的选矿工艺、设备、药剂研究开发等方面的教学与研究工作。

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