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Metal Mine ›› 2026, Vol. 55 ›› Issue (2): 121-127.

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Study on the Leaching-Replacement Process for a Refractory Chrysocolla Ore from Xinjiang

MIAO Liang1 MI Xiaohong2 LUO Gang3 YANG Huijie4 HOU Kai4   

  1. 1. Northwest Research Institute of Mining and Metallurgy,Baiyin 730900,China;2. Baiyin Nonferrous Group Co. ,Ltd. ,
    Baiyin 730900,China;3. Xinjiang Silver Mining Industry Development Co. ,Ltd. ,Altay 836500,China;
    4. College of Mining Engineering,Taiyuan University of Technology,Taiyuan 030024,China
  • Online:2026-02-15 Published:2026-03-03

Abstract: To efficiently exploit a typical refractory chrysocolla ore resource from Xinjiang,this study established a combined
leaching-replacement-precipitation process as the suitable route after evaluating the poor performance of sulfide flotation.
The research systematically investigated the effects of key parameters,including feed particle size,acid concentration,acid-toore
ratio,leaching cycle,and temperature on copper leaching efficiency,and optimized the replacement conditions for the leach
solution. The results showed that under room temperature,the optimal column leaching parameters were:feed size of 30~3 mm,
sulfuric acid concentration of 10%,acid consumption of 100 kg/ t,and a leaching cycle of 40 days,achieving a copper leaching
rate of 85. 61%. Simulated high-temperature experiments,considering the climate in Xinjiang,demonstrated that the leaching
cycle could be shortened to 20 days in summer. For the obtained leach solution,under the conditions of iron filings dosage at
twice the theoretical amount and a replacement time of 6 h,the operational replacement efficiency exceeded 96%,producing
sponge copper with a grade higher than 95%. The Cu2+ concentration in the residual solution after replacement dropped to
0. 048 g/ L,confirming highly efficient copper recovery. This work provides a reliable technical reference for the resource utilization
of this type of refractory copper oxide ore.

Key words: copper oxide ore,chrysocolla,column leaching,replacement,process optimization

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