对一种含1.69%Sb和0.14%Sn的铜精矿进行碱性硫化物浸出以除去Sb和Sn,对浸出条件建立数学模型,并对工艺条件进行优化。采用响应面方法并结合面心立方中央复合设计来优化工艺参数。选取浸出温度、硫化物浓度和固体含量作为变量参数,而将Sb和Sn的浸出率和达到浸出90%Sb所需时间作为响应参数。结果表明:温度和硫化物浓度对Sb和Sn的浸出影响显著,而固体含量的影响不显著。建立了一个数学模型来描述浸出条件,实验验证了该模型是可靠与准确的。 A basic sulphide leaching was carried out on a copper concentrate containing 1.69% Sb and 0.14% Sn to remove Sb and Sn. A mathematical model of the leaching conditions was established and the process conditions were optimized. Response surface method combined with face centered cubic composite design to optimize process parameters. Select the extraction temperature, sulfide concentration and solid content as a variable parameter, and the Sb and Sn leaching rate and the time required to leach 90% Sb as a response parameter. The results show that temperature and sulfide concentration have a significant effect on the leaching of Sb and Sn, but the effect of solid content is not significant. A mathematical model was established to describe the leaching conditions. Experiments show that the model is reliable and accurate.