Article(id=1236333408499061256, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236333405122646435, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2023.01.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661616000000, receivedDateStr=2022-08-28, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1772694454550, onlineDateStr=2026-03-05, pubDate=1675180800000, pubDateStr=2023-02-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772694454550, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772694454550, creator=13701087609, updateTime=1772694454550, updator=13701087609, issue=Issue{id=1236333405122646435, tenantId=1146029695717560320, journalId=1235980550691926019, year='2023', volume='43', issue='1', pageStart='1', pageEnd='159', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772694453745, creator=13701087609, updateTime=1772694772892, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236334743785099547, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236333405122646435, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236334743785099548, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236333405122646435, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=55, endPage=58, ext={EN=ArticleExt(id=1236333408763302427, articleId=1236333408499061256, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=High-Efficient Comprehensive Utilization of Mud-Bearing High-Silver Lead-Zinc Sulfide Ore, columnId=1236276106932842717, journalTitle=Mining and Metallurgical Engineering, columnName=MINERAL PROCESSING, runingTitle=null, highlight=null, articleAbstract=

In processing a mud-bearing high-silver lead-zinc sulfide ore, collectors of dimethylphenyl dithiophosphate and aniline aerofloat were used in combination to collect lead minerals in a low alkali environment, while the noble metal of silver was comprehensively recovered. Furthermore, lime combined with 8372CN were used to depress pyrite in zinc flotation process, thus alleviating the influence of sludge on the quality of zinc concentrate. The closed-circuit flotation test yielded a lead concentrate grading 67.18% Pb at 94.57% recovery, 2 560.37 g/t Ag at 80.54% recovery and 3.60% Zn, and a zinc concentrate grading 51.63% Zn at 93.27% recovery. With this flowsheet, an efficient comprehensive utilization of a mud-bearing high-silver lead-zinc sulfide ore can be actualized.

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针对某含泥高银铅锌硫化矿,在低碱环境下采用25号黑药与苯胺黑药组合捕收铅,有效兼顾了贵金属银的回收,锌浮选采用石灰和8372CN组合抑硫,缓解了矿泥对锌精矿品质的影响。闭路试验获得了铅品位67.18%、铅回收率94.57%、银品位2 560.37 g/t、银回收率80.54%、锌含量3.60%的铅精矿和锌品位51.63%、锌回收率93.27%的锌精矿,实现了含泥高银铅锌硫化矿的高效综合利用。

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蔡锦鹏(1993—),男,湖北黄冈人,博士研究生,主要研究方向为矿产资源综合利用。

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蔡锦鹏(1993—),男,湖北黄冈人,博士研究生,主要研究方向为矿产资源综合利用。

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蔡锦鹏(1993—),男,湖北黄冈人,博士研究生,主要研究方向为矿产资源综合利用。

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某含泥高银铅锌硫化矿高效综合利用研究
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蔡锦鹏 1, 2 , 苏超 1, 2 , 申培伦 1, 2 , 刘殿文 1, 2
矿冶工程杂志 | 选矿 2023,43(1): 55-58
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矿冶工程杂志 | 选矿 2023, 43(1): 55-58
某含泥高银铅锌硫化矿高效综合利用研究
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蔡锦鹏1, 2, 苏超1, 2, 申培伦1, 2, 刘殿文1, 2
作者信息
  • 1.昆明理工大学 国土资源工程学院,云南 昆明 650093
  • 2.云南省战略金属矿产资源绿色分离与富集重点实验室,云南 昆明 650093
  • 蔡锦鹏(1993—),男,湖北黄冈人,博士研究生,主要研究方向为矿产资源综合利用。

High-Efficient Comprehensive Utilization of Mud-Bearing High-Silver Lead-Zinc Sulfide Ore
Jinpeng CAI1, 2, Chao SU1, 2, Peilun SHEN1, 2, Dianwen LIU1, 2
Affiliations
  • 1.Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
  • 2.Yunnan Key Laboratory of Green Separation and Enrichment of Strategic Mineral Resources, Kunming 650093, Yunnan, China
出版时间: 2023-02-01 doi: 10.3969/j.issn.0253-6099.2023.01.012
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针对某含泥高银铅锌硫化矿,在低碱环境下采用25号黑药与苯胺黑药组合捕收铅,有效兼顾了贵金属银的回收,锌浮选采用石灰和8372CN组合抑硫,缓解了矿泥对锌精矿品质的影响。闭路试验获得了铅品位67.18%、铅回收率94.57%、银品位2 560.37 g/t、银回收率80.54%、锌含量3.60%的铅精矿和锌品位51.63%、锌回收率93.27%的锌精矿,实现了含泥高银铅锌硫化矿的高效综合利用。

矿泥  /  铅锌矿  /  锌精矿  /  铅精矿  /  组合捕收剂  /  8372CN  /  综合利用

In processing a mud-bearing high-silver lead-zinc sulfide ore, collectors of dimethylphenyl dithiophosphate and aniline aerofloat were used in combination to collect lead minerals in a low alkali environment, while the noble metal of silver was comprehensively recovered. Furthermore, lime combined with 8372CN were used to depress pyrite in zinc flotation process, thus alleviating the influence of sludge on the quality of zinc concentrate. The closed-circuit flotation test yielded a lead concentrate grading 67.18% Pb at 94.57% recovery, 2 560.37 g/t Ag at 80.54% recovery and 3.60% Zn, and a zinc concentrate grading 51.63% Zn at 93.27% recovery. With this flowsheet, an efficient comprehensive utilization of a mud-bearing high-silver lead-zinc sulfide ore can be actualized.

slime  /  lead-zinc ore  /  zinc concentrate  /  lead concentrate  /  combined collector  /  8372CN  /  comprehensive utilization
蔡锦鹏, 苏超, 申培伦, 刘殿文. 某含泥高银铅锌硫化矿高效综合利用研究. 矿冶工程杂志, 2023 , 43 (1) : 55 -58 . DOI: 10.3969/j.issn.0253-6099.2023.01.012
Jinpeng CAI, Chao SU, Peilun SHEN, Dianwen LIU. High-Efficient Comprehensive Utilization of Mud-Bearing High-Silver Lead-Zinc Sulfide Ore[J]. Mining and Metallurgical Engineering, 2023 , 43 (1) : 55 -58 . DOI: 10.3969/j.issn.0253-6099.2023.01.012
  • 国家自然科学基金(52074138)
  • 云南省基础研究专项重点项目(202001AS070030)
2023年第43卷第1期
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doi: 10.3969/j.issn.0253-6099.2023.01.012
  • 接收时间:2022-08-28
  • 首发时间:2026-03-05
  • 出版时间:2023-02-01
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  • 收稿日期:2022-08-28
基金
国家自然科学基金(52074138)
云南省基础研究专项重点项目(202001AS070030)
作者信息
    1.昆明理工大学 国土资源工程学院,云南 昆明 650093
    2.云南省战略金属矿产资源绿色分离与富集重点实验室,云南 昆明 650093
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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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