Article(id=1236276112439955703, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236276104999268557, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2025.04.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1737734400000, receivedDateStr=2025-01-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1772680794105, onlineDateStr=2026-03-05, pubDate=1753977600000, pubDateStr=2025-08-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772680794105, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772680794105, creator=13701087609, updateTime=1772680794105, updator=13701087609, issue=Issue{id=1236276104999268557, tenantId=1146029695717560320, journalId=1235980550691926019, year='2025', volume='45', issue='4', pageStart='1', pageEnd='200', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1772680792331, creator=13701087609, updateTime=1772681498687, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236279067746562719, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236276104999268557, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236279067746562720, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236276104999268557, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=90, endPage=94, ext={EN=ArticleExt(id=1236276114230923564, articleId=1236276112439955703, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Experimental Study on Mineral Processing of a High-Magnesium Copper-Sulfur Ore, columnId=1236276106932842717, journalTitle=Mining and Metallurgical Engineering, columnName=MINERAL PROCESSING, runingTitle=null, highlight=null, articleAbstract=

An experimental study was carried out for mineral processing of a Cu-S ore with grade of MgO at 11.86%, grade of S at 6.81%. In the experiment, a flotation process, consisting of preferential flotation of copper, Cu-S separation and reverse flotation of copper concentrate for removal of magnesium, was adopted, with SG-2 as a copper collector in combination with HD as a depressant for magnesium-containing gangue, producing a standard copper concentrate grading 23.47% Cu and 2.99% MgO, with copper recovery at 81.10%.

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对某MgO品位11.86%、S品位6.81%的高含镁铜硫矿石进行了选矿试验研究。采用部分优先浮选铜、铜硫分离、铜精矿反浮选脱镁的浮选流程,使用选择性强的铜捕收剂SG-2并配合使用镁质脉石抑制剂HD,获得了Cu品位23.47%、MgO品位2.99%、Cu回收率81.10%的合格铜精矿。

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张晶(1985—),女,湖北应城人,硕士,正高级工程师,主要从事选矿工艺及药剂研发。E-mail:
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唐鑫(1989—),男,云南昭通人,硕士,高级工程师,主要从事选矿工艺、设备及药剂研究。E-mail:

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唐鑫(1989—),男,云南昭通人,硕士,高级工程师,主要从事选矿工艺、设备及药剂研究。E-mail:

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唐鑫(1989—),男,云南昭通人,硕士,高级工程师,主要从事选矿工艺、设备及药剂研究。E-mail:

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Mining and Metallurgical Engineering, 2020, 40(5): 61-64., articleTitle=Magnetic separation and flotation technique for the high-sulfur copper ore from Malaysia, refAbstract=null), Reference(id=1236348231970517497, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, doi=null, pmid=null, pmcid=null, year=2019, volume=39, issue=2, pageStart=33, pageEnd=36, url=null, language=null, rfNumber=[11], rfOrder=20, authorNames=傅飞龙, journalName=矿产保护与利用, refType=null, unstructuredReference=傅飞龙. 国外某低品位含金铜矿铜硫分选试验[J]. 矿产保护与利用, 2019, 39(2): 33-36., articleTitle=国外某低品位含金铜矿铜硫分选试验, refAbstract=null), Reference(id=1236348232066986491, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, doi=null, pmid=null, pmcid=null, year=2019, volume=39, issue=2, pageStart=33, pageEnd=36, url=null, language=null, rfNumber=[11], rfOrder=21, authorNames=FU Feilong, journalName=Conservation and Utilization of Mineral Resources, refType=null, unstructuredReference=FU Feilong. Study on separation copper from sulfur of a low-grade sulfide copper ore containing gold in foreign country[J]. Conservation and Utilization of Mineral Resources, 2019, 39(2): 33-36., articleTitle=Study on separation copper from sulfur of a low-grade sulfide copper ore containing gold in foreign country, refAbstract=null)], funds=[Fund(id=1236348229374243190, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, awardId=202305AD160054, language=CN, fundingSource=云南省科技人才与平台计划(202305AD160054), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1236348221438620462, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, xref=1., ext=[AuthorCompanyExt(id=1236348221447009068, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, companyId=1236348221438620462, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.Kunming Metallurgy Institute Co., Ltd., Kunming 650031, Yunnan, China), AuthorCompanyExt(id=1236348221451203373, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, companyId=1236348221438620462, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.昆明冶金研究院有限公司,云南 昆明 650031)]), AuthorCompany(id=1236348221547672379, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, xref=2., ext=[AuthorCompanyExt(id=1236348221556060988, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, companyId=1236348221547672379, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.Yunnan Key Laboratory for New Technology of Beneficiation and Metallurgy, Kunming 650031, Yunnan, China), AuthorCompanyExt(id=1236348221564449597, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, companyId=1236348221547672379, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.云南省选冶新技术重点实验室,云南 昆明 650031)])], figs=[ArticleFig(id=1236348225687449743, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Fig.1, caption=Preferential flotation flowchart for Cu, figureFileSmall=a74dR5Uw4iylk2PsvIZGdA==, figureFileBig=HubOqSdaDPzhWNCYqaLXRA==, tableContent=null), ArticleFig(id=1236348225762947221, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=图1, caption=部分优先浮选铜粗选条件试验流程, figureFileSmall=a74dR5Uw4iylk2PsvIZGdA==, figureFileBig=HubOqSdaDPzhWNCYqaLXRA==, tableContent=null), ArticleFig(id=1236348225943302302, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Fig.2, caption=Flowchart of Cu/S separation, figureFileSmall=gddD4R/2q5CqnQBNype9tg==, figureFileBig=oT+95fDnFf2SDQEV3Taiyg==, tableContent=null), ArticleFig(id=1236348226064937123, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=图2, caption=铜硫分离条件试验流程, figureFileSmall=gddD4R/2q5CqnQBNype9tg==, figureFileBig=oT+95fDnFf2SDQEV3Taiyg==, tableContent=null), ArticleFig(id=1236348226194960555, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Fig.3, caption=Closed-circuit test flowchart, figureFileSmall=7EW3NOVO1KItLonIJWBWCw==, figureFileBig=HVAsYIbWdGrhTAVmBOSy0g==, tableContent=null), ArticleFig(id=1236348226379509944, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=图3, caption=闭路试验流程, figureFileSmall=7EW3NOVO1KItLonIJWBWCw==, figureFileBig=HVAsYIbWdGrhTAVmBOSy0g==, tableContent=null), ArticleFig(id=1236348226530504896, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Fig.4, caption=Microscopic images of copper concentrate, figureFileSmall=qUS6fwUgyaLIQgHrYS9lJw==, figureFileBig=q96+vcpUGUOMNKueFRab/Q==, tableContent=null), ArticleFig(id=1236348226643751112, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=图4, caption=铜精矿显微镜照片, figureFileSmall=qUS6fwUgyaLIQgHrYS9lJw==, figureFileBig=q96+vcpUGUOMNKueFRab/Q==, tableContent=null), ArticleFig(id=1236348226777968853, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Fig.5, caption=Reverse flotation flowchart for magnesium removal, figureFileSmall=obpK8CSpOynmxaP+Rwai+g==, figureFileBig=GbvJHg/A3RveJu0W6eOLOQ==, tableContent=null), ArticleFig(id=1236348226907992289, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=图5, caption=脱镁反浮选试验流程, figureFileSmall=obpK8CSpOynmxaP+Rwai+g==, figureFileBig=GbvJHg/A3RveJu0W6eOLOQ==, tableContent=null), ArticleFig(id=1236348227105124587, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 1, caption=

Multi-elemental analysis of sample

, figureFileSmall=null, figureFileBig=null, tableContent=
CuSAsSiO2Al2O3Fe
0.456.81<0.1048.538.6910.14
Na2OAg1)CaOMgOPAu1)
0.2511.93.0111.860.14<0.10
), ArticleFig(id=1236348227247730930, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表1, caption=

试样化学多元素分析结果(质量分数)

, figureFileSmall=null, figureFileBig=null, tableContent=
CuSAsSiO2Al2O3Fe
0.456.81<0.1048.538.6910.14
Na2OAg1)CaOMgOPAu1)
0.2511.93.0111.860.14<0.10
), ArticleFig(id=1236348227365171448, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 2, caption=

Copper phase analysis results

, figureFileSmall=null, figureFileBig=null, tableContent=
铜物相含量(质量分数)/%分布率/%
游离氧化铜0.003 30.73
结合氧化铜0.006 71.49
次生硫化铜0.1328.89
原生硫化铜0.3168.89
合计0.45100.00
), ArticleFig(id=1236348227507777790, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表2, caption=

铜物相分析结果

, figureFileSmall=null, figureFileBig=null, tableContent=
铜物相含量(质量分数)/%分布率/%
游离氧化铜0.003 30.73
结合氧化铜0.006 71.49
次生硫化铜0.1328.89
原生硫化铜0.3168.89
合计0.45100.00
), ArticleFig(id=1236348227650384134, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 3, caption=

Mineral composition

, figureFileSmall=null, figureFileBig=null, tableContent=
黄铜矿硫砷铜矿斑铜矿辉铜矿磁黄铁矿黄铁矿铜蓝
1.0230.130.0010.020.7313.070.02
磁铁矿褐铁矿石英斜长石金/黑云母高岭石白云母
2.40.0423.653.8910.412.784.69
角闪石透辉石绿泥石滑石蛇纹石透闪石钾长石
1.431.373.526.095.559.446.71
磷灰石菱铁矿石膏黄钾铁矾金红石/板钛矿  
0.591.350.140.620.34  
), ArticleFig(id=1236348227788796173, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表3, caption=

矿物组成(质量分数)

, figureFileSmall=null, figureFileBig=null, tableContent=
黄铜矿硫砷铜矿斑铜矿辉铜矿磁黄铁矿黄铁矿铜蓝
1.0230.130.0010.020.7313.070.02
磁铁矿褐铁矿石英斜长石金/黑云母高岭石白云母
2.40.0423.653.8910.412.784.69
角闪石透辉石绿泥石滑石蛇纹石透闪石钾长石
1.431.373.526.095.559.446.71
磷灰石菱铁矿石膏黄钾铁矾金红石/板钛矿  
0.591.350.140.620.34  
), ArticleFig(id=1236348227910431001, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 4, caption=

Influence of collector types on Cu roughing

, figureFileSmall=null, figureFileBig=null, tableContent=
捕收剂种类产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
Z-200精矿9.273.8913.2113.6479.0417.8710.83
尾矿90.730.116.2011.4720.9682.1389.17
原矿100.000.466.8511.67100.00100.00100.00
MCO精矿7.304.779.2414.3475.829.989.04
尾矿92.700.126.5611.3724.1890.0290.96
原矿100.000.466.7611.59100.00100.00100.00
异戊基黄药精矿24.361.5312.3113.5583.5843.0728.18
尾矿75.640.105.2411.1216.4256.9371.82
原矿100.000.456.9611.71100.00100.00100.00
丁基黄药精矿22.301.7112.2113.6083.3739.9826.21
尾矿77.700.105.2610.9916.6360.0273.79
原矿100.000.466.8111.58100.00100.00100.00
SG-2精矿10.883.5411.1512.8083.0717.7812.06
尾矿89.120.096.3011.4016.9382.2287.94
原矿100.000.466.8211.55100.00100.00100.00
), ArticleFig(id=1236348228057231647, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表4, caption=

捕收剂种类对粗选选铜指标的影响

, figureFileSmall=null, figureFileBig=null, tableContent=
捕收剂种类产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
Z-200精矿9.273.8913.2113.6479.0417.8710.83
尾矿90.730.116.2011.4720.9682.1389.17
原矿100.000.466.8511.67100.00100.00100.00
MCO精矿7.304.779.2414.3475.829.989.04
尾矿92.700.126.5611.3724.1890.0290.96
原矿100.000.466.7611.59100.00100.00100.00
异戊基黄药精矿24.361.5312.3113.5583.5843.0728.18
尾矿75.640.105.2411.1216.4256.9371.82
原矿100.000.456.9611.71100.00100.00100.00
丁基黄药精矿22.301.7112.2113.6083.3739.9826.21
尾矿77.700.105.2610.9916.6360.0273.79
原矿100.000.466.8111.58100.00100.00100.00
SG-2精矿10.883.5411.1512.8083.0717.7812.06
尾矿89.120.096.3011.4016.9382.2287.94
原矿100.000.466.8211.55100.00100.00100.00
), ArticleFig(id=1236348228166283559, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 5, caption=

Influence of grinding fineness on Cu roughing

, figureFileSmall=null, figureFileBig=null, tableContent=
-74 μm粒级占比/%产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
 精矿7.234.7012.3611.2175.6213.216.94
50尾矿92.770.126.3311.7224.3886.7993.06
 原矿100.000.456.7711.68100.00100.00100.00
 精矿8.134.3912.0812.2479.0114.628.59
55尾矿91.870.106.2511.5220.9985.3891.41
 原矿100.000.456.7211.58100.00100.00100.00
 精矿9.893.9310.6212.8083.8115.3111.00
60尾矿90.110.086.4511.3716.1984.6989.00
 原矿100.000.466.8611.51100.00100.00100.00
 精矿10.013.8310.5712.6884.4115.4911.03
65尾矿89.990.086.4111.3815.5984.5188.97
 原矿100.000.456.8311.51100.00100.00100.00
 精矿10.533.7010.5113.5184.4416.3612.19
70尾矿89.470.086.3211.4615.5683.6487.81
 原矿100.000.466.7611.67100.00100.00100.00
 精矿11.023.4210.4413.7184.6017.1713.03
80尾矿88.980.086.2411.3315.4082.8386.97
 原矿100.000.456.7011.59100.00100.00100.00
), ArticleFig(id=1236348228275335469, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表5, caption=

磨矿细度对粗选选铜指标的影响

, figureFileSmall=null, figureFileBig=null, tableContent=
-74 μm粒级占比/%产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
 精矿7.234.7012.3611.2175.6213.216.94
50尾矿92.770.126.3311.7224.3886.7993.06
 原矿100.000.456.7711.68100.00100.00100.00
 精矿8.134.3912.0812.2479.0114.628.59
55尾矿91.870.106.2511.5220.9985.3891.41
 原矿100.000.456.7211.58100.00100.00100.00
 精矿9.893.9310.6212.8083.8115.3111.00
60尾矿90.110.086.4511.3716.1984.6989.00
 原矿100.000.466.8611.51100.00100.00100.00
 精矿10.013.8310.5712.6884.4115.4911.03
65尾矿89.990.086.4111.3815.5984.5188.97
 原矿100.000.456.8311.51100.00100.00100.00
 精矿10.533.7010.5113.5184.4416.3612.19
70尾矿89.470.086.3211.4615.5683.6487.81
 原矿100.000.466.7611.67100.00100.00100.00
 精矿11.023.4210.4413.7184.6017.1713.03
80尾矿88.980.086.2411.3315.4082.8386.97
 原矿100.000.456.7011.59100.00100.00100.00
), ArticleFig(id=1236348228380193078, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 6, caption=

Influence of Mg-containing gangue depressant on Cu/S separation

, figureFileSmall=null, figureFileBig=null, tableContent=
抑制剂种类产品名称作业产率/%品位/%作业回收率/%
CuSMgOCuSMgO
 精矿21.5311.8725.4410.5961.4351.8218.70
糊精尾矿78.472.046.4912.6338.5748.1881.30
 粗精矿100.004.1610.5712.19100.00100.00100.00
 精矿23.2311.6725.279.8165.0155.8018.63
HD尾矿76.771.906.0612.9634.9944.2081.37
 粗精矿100.004.1710.5212.23100.00100.00100.00
 精矿20.1512.0126.329.6758.3150.3215.96
CMC尾矿79.852.176.5612.8541.6949.6884.04
 粗精矿100.004.1510.5412.21100.00100.00100.00
 精矿28.659.3123.5913.6963.8163.7032.10
不添加尾矿71.352.125.4011.6336.1936.3067.90
 粗精矿100.004.1810.6112.22100.00100.00100.00
), ArticleFig(id=1236348228526993724, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表6, caption=

镁质脉石抑制剂对铜硫分离指标的影响

, figureFileSmall=null, figureFileBig=null, tableContent=
抑制剂种类产品名称作业产率/%品位/%作业回收率/%
CuSMgOCuSMgO
 精矿21.5311.8725.4410.5961.4351.8218.70
糊精尾矿78.472.046.4912.6338.5748.1881.30
 粗精矿100.004.1610.5712.19100.00100.00100.00
 精矿23.2311.6725.279.8165.0155.8018.63
HD尾矿76.771.906.0612.9634.9944.2081.37
 粗精矿100.004.1710.5212.23100.00100.00100.00
 精矿20.1512.0126.329.6758.3150.3215.96
CMC尾矿79.852.176.5612.8541.6949.6884.04
 粗精矿100.004.1510.5412.21100.00100.00100.00
 精矿28.659.3123.5913.6963.8163.7032.10
不添加尾矿71.352.125.4011.6336.1936.3067.90
 粗精矿100.004.1810.6112.22100.00100.00100.00
), ArticleFig(id=1236348228619268420, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 7, caption=

Influence of regrinding fineness on Cu/S separation

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-45 μm粒级占比/%产品名称作业产率/%品位/%作业回收率/%
CuSMgOCuSMgO
 精矿22.1212.0724.3310.4563.4250.6318.90
70尾矿77.881.986.7412.7436.5849.3781.10
 粗精矿100.004.2110.6312.23100.00100.00100.00
 精矿20.7712.8825.678.9864.1550.6815.33
75尾矿79.231.896.5513.0135.8549.3284.67
 粗精矿100.004.1710.5212.17100.00100.00100.00
 精矿19.1214.0727.528.1164.3649.4512.72
80尾矿80.881.846.6513.1535.6450.5587.28
 粗精矿100.004.1810.6412.19100.00100.00100.00
 精矿19.2313.8727.398.1263.5049.7812.73
85粗精矿80.771.906.5813.2636.5050.2287.27
 原矿100.004.2010.5812.27100.00100.00100.00
 精矿19.3313.5627.328.0162.8649.5412.54
90尾矿80.671.926.6713.3937.1450.4687.46
 粗精矿100.004.1710.6612.35100.00100.00100.00
), ArticleFig(id=1236348228736708942, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表7, caption=

再磨细度对铜硫分离指标的影响

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-45 μm粒级占比/%产品名称作业产率/%品位/%作业回收率/%
CuSMgOCuSMgO
 精矿22.1212.0724.3310.4563.4250.6318.90
70尾矿77.881.986.7412.7436.5849.3781.10
 粗精矿100.004.2110.6312.23100.00100.00100.00
 精矿20.7712.8825.678.9864.1550.6815.33
75尾矿79.231.896.5513.0135.8549.3284.67
 粗精矿100.004.1710.5212.17100.00100.00100.00
 精矿19.1214.0727.528.1164.3649.4512.72
80尾矿80.881.846.6513.1535.6450.5587.28
 粗精矿100.004.1810.6412.19100.00100.00100.00
 精矿19.2313.8727.398.1263.5049.7812.73
85粗精矿80.771.906.5813.2636.5050.2287.27
 原矿100.004.2010.5812.27100.00100.00100.00
 精矿19.3313.5627.328.0162.8649.5412.54
90尾矿80.671.926.6713.3937.1450.4687.46
 粗精矿100.004.1710.6612.35100.00100.00100.00
), ArticleFig(id=1236348228841566550, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 8, caption=

Closed-circuit tests result with different reagent systems

, figureFileSmall=null, figureFileBig=null, tableContent=
药剂体系产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
SG-2+HD铜精矿1.9118.6231.236.9381.928.511.18
尾矿188.370.0586.5710.9611.8182.8586.06
尾矿29.720.286.2314.786.278.6412.77
给矿100.000.437.0111.25100.00100.00100.00
丁基黄药+CMC铜精矿2.0117.0332.778.1280.199.431.48
尾矿185.660.0576.0110.3911.4473.7480.46
尾矿212.330.299.5316.218.3816.8318.07
给矿100.000.436.9811.06100.00100.00100.00
), ArticleFig(id=1236348228984172887, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表8, caption=

不同药剂体系闭路试验结果

, figureFileSmall=null, figureFileBig=null, tableContent=
药剂体系产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
SG-2+HD铜精矿1.9118.6231.236.9381.928.511.18
尾矿188.370.0586.5710.9611.8182.8586.06
尾矿29.720.286.2314.786.278.6412.77
给矿100.000.437.0111.25100.00100.00100.00
丁基黄药+CMC铜精矿2.0117.0332.778.1280.199.431.48
尾矿185.660.0576.0110.3911.4473.7480.46
尾矿212.330.299.5316.218.3816.8318.07
给矿100.000.436.9811.06100.00100.00100.00
), ArticleFig(id=1236348229072253278, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=EN, label=Table 9, caption=

Test results of reverse flotation for magnesium removal

, figureFileSmall=null, figureFileBig=null, tableContent=
产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
高品质铜精矿1.5023.4734.292.9981.107.340.40
镁质脉石0.410.8720.0321.340.821.170.78
铜精矿1.9118.6231.236.9381.928.511.18
), ArticleFig(id=1236348229172916580, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1236276112439955703, language=CN, label=表9, caption=

脱镁反浮选试验结果

, figureFileSmall=null, figureFileBig=null, tableContent=
产品名称产率/%品位/%回收率/%
CuSMgOCuSMgO
高品质铜精矿1.5023.4734.292.9981.107.340.40
镁质脉石0.410.8720.0321.340.821.170.78
铜精矿1.9118.6231.236.9381.928.511.18
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某高含镁铜硫矿石选矿试验研究
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唐鑫 1, 2 , 简胜 1, 2 , 张晶 1, 2 , 张曙光 1, 2 , 吕向文 1, 2 , 刘玫华 1, 2
矿冶工程杂志 | 选矿 2025,45(4): 90-94
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矿冶工程杂志 | 选矿 2025, 45(4): 90-94
某高含镁铜硫矿石选矿试验研究
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唐鑫1, 2 , 简胜1, 2, 张晶1, 2 , 张曙光1, 2, 吕向文1, 2, 刘玫华1, 2
作者信息
  • 1.昆明冶金研究院有限公司,云南 昆明 650031
  • 2.云南省选冶新技术重点实验室,云南 昆明 650031
  • 唐鑫(1989—),男,云南昭通人,硕士,高级工程师,主要从事选矿工艺、设备及药剂研究。E-mail:

通讯作者:

张晶(1985—),女,湖北应城人,硕士,正高级工程师,主要从事选矿工艺及药剂研发。E-mail:
Experimental Study on Mineral Processing of a High-Magnesium Copper-Sulfur Ore
Xin TANG1, 2 , Sheng JIAN1, 2, Jing ZHANG1, 2 , Shuguang ZHANG1, 2, XiangWen LYU1, 2, Meihua LIU1, 2
Affiliations
  • 1.Kunming Metallurgy Institute Co., Ltd., Kunming 650031, Yunnan, China
  • 2.Yunnan Key Laboratory for New Technology of Beneficiation and Metallurgy, Kunming 650031, Yunnan, China
出版时间: 2025-08-01 doi: 10.3969/j.issn.0253-6099.2025.04.016
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对某MgO品位11.86%、S品位6.81%的高含镁铜硫矿石进行了选矿试验研究。采用部分优先浮选铜、铜硫分离、铜精矿反浮选脱镁的浮选流程,使用选择性强的铜捕收剂SG-2并配合使用镁质脉石抑制剂HD,获得了Cu品位23.47%、MgO品位2.99%、Cu回收率81.10%的合格铜精矿。

铜硫矿  /  氧化镁  /  浮选  /  脱镁  /  捕收剂  /  抑制剂  /  铜精矿

An experimental study was carried out for mineral processing of a Cu-S ore with grade of MgO at 11.86%, grade of S at 6.81%. In the experiment, a flotation process, consisting of preferential flotation of copper, Cu-S separation and reverse flotation of copper concentrate for removal of magnesium, was adopted, with SG-2 as a copper collector in combination with HD as a depressant for magnesium-containing gangue, producing a standard copper concentrate grading 23.47% Cu and 2.99% MgO, with copper recovery at 81.10%.

copper sulfide ore  /  magnesium oxide  /  flotation  /  magnesium removal  /  collector  /  depressant  /  copper concentrate
唐鑫, 简胜, 张晶, 张曙光, 吕向文, 刘玫华. 某高含镁铜硫矿石选矿试验研究. 矿冶工程杂志, 2025 , 45 (4) : 90 -94 . DOI: 10.3969/j.issn.0253-6099.2025.04.016
Xin TANG, Sheng JIAN, Jing ZHANG, Shuguang ZHANG, XiangWen LYU, Meihua LIU. Experimental Study on Mineral Processing of a High-Magnesium Copper-Sulfur Ore[J]. Mining and Metallurgical Engineering, 2025 , 45 (4) : 90 -94 . DOI: 10.3969/j.issn.0253-6099.2025.04.016
铜矿床一般有斑岩型、矽卡岩型、层状型、火山沉积型和铜镍硫化物型5种类型[1]。一般随着采矿深度增加,部分矿床周边会出现蚀变,如钾化、绢云母化、硅化、绿泥石化等,多样的蚀变类型导致矿石分选难度加大,如其中出现的滑石、蛇纹石、绿泥石等含镁硅酸盐矿物[2]和黄铁矿会极大影响铜精矿品位。
高含镁铜硫矿浮选中,影响铜精矿品位的原因主要有两个。一是含镁硅酸盐矿物(如滑石、蛇纹石、绿泥石等)本身疏水性强,天然可浮性好,不容易被抑制;含镁硅酸盐矿石本身易磨易泥化,容易形成矿泥罩盖在矿物表面,影响捕收剂对矿物的吸附;矿泥还易被浮选泡沫机械夹杂,影响精矿品位[3-6]。二是黄铁矿可浮性好,易上浮,通常在高碱环境下抑制黄铁矿,泡沫易发黏进而夹带其他矿物,影响铜精矿质量;黄铁矿受Cu2+活化影响,黄铜矿受Fe2+抑制影响,导致铜硫分离困难[7-11]
某高含镁铜硫矿属于斑岩型和矽卡岩型混合矿床,原矿MgO品位11.86%、S品位6.81%,属于典型高硫高镁蚀变矿石,铜精矿铜品位及回收率受滑石等易浮镁硅酸盐矿物及黄铁矿的影响较大,难以获得理想的技术指标。本文采用部分优先浮选铜、铜硫分离、铜精矿反浮选脱镁的浮选工艺,基于药剂与工艺协同,小型闭路试验可获得Cu品位23.47%、MgO品位2.99%、Cu回收率81.10%的铜精矿,极大改善了产品质量。研究成果对处理同类型矿石具有借鉴意义。
矿石化学多元素、铜物相及矿物组成分析结果分别如表13所示。矿石中铜是选矿回收的主要对象,可能对铜精矿品位造成不利影响的杂质元素主要为硫与镁。铜主要以硫化铜形式存在,次生硫化铜分布率为28.89%,次生硫化铜成矿过程中常产生难免金属离子,使黄铁矿等硫化矿物受到活化从而难以抑制。矿石中硫化矿物以铜矿物与黄铁矿为主,其中黄铁矿含量13.07%。矿石中主要含镁矿物主要为蛇纹石(5.55%)、滑石(6.09%)、透闪石(9.44%)和绿泥石(3.52%),部分镁硅酸盐矿物属层状易浮矿物,与被活化的黄铁矿均可能对铜精矿造成污染。
基于矿石性质分析,选择部分优先浮选铜、铜硫分离、铜精矿反浮选脱镁的选矿工艺,实现铜精矿与滑石的有效分离。
根据前期试验经验,在棒磨机中添加石灰,以24K(甲基异丁基甲醇混合物)为起泡剂,进行粗选条件试验,试验流程见图1
粗选磨矿细度-74 μm粒级占60%,石灰用量3 000 g/t、起泡剂24K用量40 g/t、捕收剂用量40 g/t,按照图1所示流程进行了捕收剂种类试验,结果见表4。其中MCO为烃油类捕收剂,SG-2为酯类与烃类混合物(为昆明冶金研究院有限公司自主研发的捕收剂)。传统黄药类捕收剂对铜矿物捕收能力强,但黄铁矿与含镁脉石矿物上浮量亦较大,除了黄药本身无选择性地在非目的矿物表面吸附外,黄药体系造成矿浆发黏也增加了含镁脉石矿物机械夹带的概率。Z-200、MCO、SG-2具有较好的选择性,而SG-2可以同时获得较高的品位和回收率。确定使用SG-2为本次的捕收剂。
以SG-2为捕收剂,通过单因素试验,确定了粗选的药剂制度为:石灰用量4 000 g/t(pH值约9.5),SG-2用量30 g/t,24K用量40 g/t。
根据前期工艺矿物学研究结果,部分铜矿物嵌布粒度相对较细,拟在相对粗粒级实现铜矿物的解离。石灰用量4000 g/t、SG-2用量30 g/t、24K用量40 g/t,按照图1所示流程,考察了磨矿细度对粗选指标的影响,结果如表5所示。随着磨矿细度增加,粗选铜回收率逐步增加后趋于稳定,而滑石等镁质矿物在磨矿过程中产生泥化,进入粗选精矿中。综合考虑,粗选磨矿细度-74 μm粒级占65%为宜。
对部分优先浮选铜获得的粗精矿进行铜硫分离。试验流程见图2
抑制剂用量50 g/t,再磨细度-45 μm粒级占80%,按照图2所示流程进行了镁质脉石抑制剂种类试验,结果见表6。结果表明,再磨时添加镁质脉石抑制剂可有效降低铜精矿中氧化镁含量。羧甲基纤维素钠(CMC)对镁质脉石矿物抑制效果极优,也会强烈抑制铜矿物;聚糖类混合物(HD)能在抑制镁质矿物的同时获得更高的铜回收率。选择HD作为镁质脉石抑制剂。
在相同条件下进行了HD用量试验,确定HD的适宜用量为150 g/t。
抑制剂HD用量150 g/t,按照图2所示流程进行了再磨细度试验,结果见表7。随着再磨细度增加,精矿铜品位及铜回收率均出现少量增长后下降的情况,可能与提升再磨细度增加了铜矿物解离度的同时也加剧了镁质脉石矿物泥化有关。适宜的再磨细度为-45 μm粒级占80%。
在条件试验基础上进行了小型闭路试验,试验流程见图3,试验结果见表8。相同流程下,现场使用的捕收剂丁基黄药+脉石抑制剂CMC获得的闭路试验结果亦列于表8中。结果表明,SG-2+HD浮选药剂体系较原有丁基黄药+CMC的强拉强压药剂体系更有利于提升铜精矿指标,但铜精矿中氧化镁含量还是较高,铜精矿Cu品位仅18.62%,铜精矿中MgO品位为6.93%。
对铜精矿进行显微镜镜下检测,结果如图4所示。在铜精矿中可以看到滑石及蛇纹石等镁质脉石矿物,说明少量滑石等镁质脉石矿物天然可浮性极强,难以抑制。
针对这种情况,对闭路试验获得的铜精矿进行了抑铜浮镁反浮选脱镁试验。采用常规浮选药剂,以硫化钠为铜抑制剂、煤油为镁质脉石捕收剂,试验流程见图5,试验结果见表9。结果表明,采用SG-2+HD浮选药剂体系,协同抑铜浮镁工艺,可显著提升铜精矿Cu品位,铜精矿Cu品位由18.62%提升至23.47%,铜精矿中MgO品位由6.93%降至2.99%,铜回收率损失可控。试验结果为矿山后续技改提供了技术支持。
1)某高含镁铜硫矿石铜矿物主要为黄铜矿、硫砷铜矿、辉铜矿、铜蓝等,次生硫化铜分布率为28.89%,黄铁矿及滑石等镁质脉石矿物含量较高,分离难度大。
2)采用部分优先浮选铜、铜硫分离、铜精矿反浮选脱镁的流程,可获得Cu品位23.47%、MgO品位2.99%、Cu回收率81.10%的铜精矿。
3)铜捕收剂SG-2与镁质脉石抑制剂HD的组合药剂体系可在正浮选铜矿物过程中尽量减少氧化镁上浮;协同抑铜脱镁反浮选,在保障铜回收率的同时降低铜精矿中镁含量,达到了改善铜精矿品质的目的。
  • 云南省科技人才与平台计划(202305AD160054)
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doi: 10.3969/j.issn.0253-6099.2025.04.016
  • 接收时间:2025-01-25
  • 首发时间:2026-03-05
  • 出版时间:2025-08-01
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  • 收稿日期:2025-01-25
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云南省科技人才与平台计划(202305AD160054)
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    1.昆明冶金研究院有限公司,云南 昆明 650031
    2.云南省选冶新技术重点实验室,云南 昆明 650031

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张晶(1985—),女,湖北应城人,硕士,正高级工程师,主要从事选矿工艺及药剂研发。E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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