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Gold Science and Technology ›› 2015, Vol. 23 ›› Issue (4): 30-34.doi: 10.11872/j.issn.1005-2518.2015.04.030

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An Optimization Test Study for Milling-classification Operation System of a Poor Sulphur Gold Ore Concentrating Plant in Qinghai Province

WU Caibin1,YANG Hao1,ZHOU Yichao1,YAN Faming1,ZHAO Ruquan1,ZHAO Jieming1,LIU Yu2   

  1. 1.Jiangxi Key Laboratory of Mining Engineering,Jiangxi University of Science and Technology,Ganzhou   341000,Jiangxi,China;
    2.Changsha Institute of Mining and Metallurgy Co.,Ltd.,Changsha    410012,Hunan,China
  • Received:2015-05-25 Revised:2015-07-01 Online:2015-08-28 Published:2015-11-16

Abstract:

Because the grinding ball is big and operating parameters are not reasonable in the the sulfur gold ore dressing plant of Qinghai Province,grinding efficiency is low in milling-classification operation system,the capacity is smaller and grinding fineness is bad.Based on the previous test in the laboratory and the calculation of the half-theory formula,the ball and ratio are determined.The JKsimMet soft is taken to simulate industrial test process to find the best operating parameters in milling-classification operation system and make industrial test.Good practice dictates that the JKsimMet soft can simulate the milling-classification operation and get a better result that provide a guidance for industrial experiment,the conclusions are obtain that the capacity of primary grinding increases by 6.5 t/h,metal consumption reduces by 14.29%,grinding fineness adds by 27.9%,P80 drops by 60.91%.The fineness grinding of the secondary raises by  31.3%.P80 cuts down 13.31%.The grinding efficiency is improved and the capacity is increased.Milling-classification operation system is better.

Key words: milling-classification operation system, JKsimMet soft, accurate loading and addition of milling balls, simulate and optimize

CLC Number: 

  • TD921
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