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金属矿山 ›› 2013, Vol. 42 ›› Issue (11): 69-73.

• 矿物工程 • 上一篇    下一篇

福建某银铜多金属矿石选矿工艺优化

甘永刚   

  1. 紫金矿业集团股份有限公司
  • 出版日期:2013-11-15 发布日期:2014-01-26

Optimization of Beneficiation Process for a Silver-Copper Polymetallic Ore in Fujian

Gan Yonggang   

  1. Zijin Mining Group Co,Ltd
  • Online:2013-11-15 Published:2014-01-26

摘要: 福建某银铜多金属矿石由于铜品位较低,现场采用单一浮银工艺获得银精矿,金、铜仅作为伴生元素回收。由于铜在氰化浸金、银过程中的消极作用较大,因此铜的计价系数仅为01,且金、银的计价系数也受到影响。为提高矿山和湿法冶金企业的经济效益,为工艺完善与改造提供依据,对该矿石进行了部分优先快速浮铜—金银混合浮选研究。结果表明:在现场磨矿细度下,采用1粗2精快速选铜、1粗1扫2精选银工艺处理该矿石,取得的铜精矿铜、金、银品位分别为2203%、3221 g/t、2 36000 g/t,回收率分别为4651%、3221%、1254%,银精矿铜、金、银品位分别为149%、412 g/t、1 23600 g/t,回收率分别为4023%、5269%、8401%,金、银、铜的经济价值均得到显著提高。

关键词: 银铜多金属矿石, 计价系数, 快速浮铜, 工艺优化

Abstract: Due to low copper grade in a silver-copper polymetallic ore in Fujian,a single silver floatation process was used to produce silver concentrate while obtaining gold and copper as associated elementsHowever,the pricing rate of copper is only 01,since copper has great detrimental effects on cyanide leaching process of gold and silver,which also influence the pricing rate for gold and silver Hence,the process consisting of partial copper priority speed flotation in combination with gold-silver bulk flotation process was conducted in order to improve the economic benefits for mine and metallurgy plants and provide basis for the further technology improvement and process transformation The results showed that the economic values of gold,silver and copper were significantly increased by adopting the process flow-sheet of the copper speed flotation of one roughing and two cleaning and the silver flotation of one roughing,one scavenging,and two cleaning,under the mesh grinding of on-site Copper concentrate with Cu,Au and Ag grade of 2203%,3221 g/t,and 2 36000 g/t and recovery of 4651%,3221%,and 1254%,were obtained respectively Meanwhile,silver concentrate with Cu,Au and Ag grade of 149%,412 g/t,and 1 23600 g/t,and the recovery of 4023%,5269%,and 8401% respectively were achieved respectively.

Key words: Silver-copper polymetallic ore, Pricing coefficient, Copper speed floatation, Technology optimization