响应曲面法优化低品位铜钼矿生物浸出工艺  

Optimization of bioleaching low-grade copper-molybdenum ore by response surface methodology

作　　者：刘伟[1,2] 刘子龙[3] 刘畅 LIU Wei;LIU Zilong;LIU Chang(Key Laboratory of Petro-chemical Special Building Materials,Liaoning Province,School of Civil Engineering,Liaoning Shihua University,Fushun 113001,China;Institute of Metal Research,Chinese Academy of Sciences,Shenyang 110016,China;Tibet Huatailong Mining Development Co.Ltd.,Lasa 850200,China)

机构地区：[1]辽宁石油化工大学土木工程学院辽宁省石油化工特种建筑材料重点实验室,辽宁抚顺113001 [2]中国科学院金属研究所,辽宁沈阳110016 [3]西藏华泰龙矿业开发有限公司,西藏拉萨850200

出　　处：《中南大学学报（自然科学版）》2021年第9期3111-3120,共10页Journal of Central South University:Science and Technology

基　　金：辽宁省科技厅自然科学基金资助项目(20170540588);辽宁省博士科研启动基金项目(20180540057);辽宁省教育厅科学研究经费资助项目(L2020030)。

摘　　要：采用响应曲面法对低品位铜钼矿生物浸出工艺进行优化,首先,选取浸出温度、矿浆质量分数、硫酸亚铁加入量3个工艺参数作为影响铜、钼浸出率的参数因子,选择铜浸出率与钼浸出率作为响应值,设计三因素三水平共计17个实验点的优化实验方案;其次,对优化实验结果进行多项回归拟合分析,建立反映浸出温度、矿浆质量分数与硫酸亚铁加入量及三者之间的交互作用对铜、钼浸出率影响的二次多项回归模型;最后,利用二次多项回归模型对生物浸出工艺进行优化。研究结果表明:铜、钼浸出率回归模型可信度高,模拟精确度高,没有其他未控制的、不可忽视的影响因素掺杂,并且与实际情况拟合良好,实验误差小,可以反映参数因子及其交互作用对铜浸出率的影响。浸出温度、矿浆质量分数及硫酸亚铁加入量3个因子对铜、钼浸出率均有显著影响,其中浸出温度对铜、钼浸出率的影响最显著,矿浆质量分数次之,硫酸亚铁加入量影响最小。最佳工艺条件如下:浸出温度为36℃、矿浆质量分数为9.5%、硫酸亚铁加入量为6.0 g。在此条件下,铜、钼浸出率的模型预测值分别为84.03%与65.33%,验证实验的铜、钼浸出率平均值分别为83.82%与64.78%,与预测值基本一致。因此,优化方案可信度高,采用响应曲面法优化低品位铜钼矿生物浸出工艺是合理可行的。The process conditions of bioleaching low-grade copper-molybdenum ore were optimized via response surface methodology(RSM).Firstly,leaching temperature,pulp concentration and ferrous sulfate quantity were regarded as independent variables,leaching efficiencies of Cu and Mo were set as the dependent variables,and a scheme consisting of 17 experiments was designed.Secondly,via multiple regressions fitting analysis of experimental results,the quadratic polynomial regression models characterizing effect of factors,such as leaching temperature,pulp density and ferrous sulfate quantity,and their interactions on Cu and Mo leaching efficiencies were established.Finally,quadratic multinomial regression models were used to optimize bioleaching process.The results show that regression models have high reliability and simulation accuracy,and there are no other uncontrolled and non-negligible influence factors.Moreover,there is a favorable fitting degree between the experimental and predicted leaching efficiencies and the experimental error is very small.Regression models can represent the interrelationship among these variables.Three factors have significant effects on the leaching efficiencies of Cu and Mo,and the leaching temperature has the most significant effect on the leaching efficiencies of Cu and Mo,followed by pulp concentration and ferrous sulfate quantity.The optimum conditions of bioleaching low-grade copper-molybdenum ore are as follow:leaching temperature is 36℃,pulp density is 9.5%and ferrous sulfate quantity is 6.0 g.Under these optimum process conditions,average leaching efficiencies of Cu and Mo are 83.82%and 64.78%,respectively,which are basically consistent with the model predictive values of 84.03%and 65.33%.Thus,the optimization of low-grade copper-molybdenum ore bioleaching process by RSM is feasible.

关 键 词：低品位铜钼矿 生物浸出 响应曲面法 优化工艺 

分 类 号：TF18[冶金工程—冶金物理化学]