响应曲面法优化细粒氧化铜矿浸出工艺

本文以某细粒难选氧化铜矿为研究对象,目的矿物为孔雀石,主要脉石为硅酸盐矿物。因细粒氧化铜矿物颗粒与气泡的碰撞概率较低,硫化浮选法难以将其有效回收,对其进行了硫酸浸铜试验。为了获得最优条件及最佳浸出率,借助响应曲面法对其进行了工艺优化:首先使用Design-expert10.0软件中的Box-Behnken模块设计实验方案,根据试验数据建立二次回归方程模型并进行方差分析;根据所得模型等高线及响应曲面图,分析各因素间交互作用对铜浸出率的影响;通过该软件优化分析,得到该浸出试验的最优参数并进行验证试验。模型得到的最优试验条件为:硫酸质量浓度175g/L,液固体积质量比为3.5,浸出时间为120min。在此条件下进行验证试验,得到铜浸出率为88.43%的理想指标,模型可信度高,试验设计合理,此优化工艺可作为生产中的应用参考。

Acid leaching technology of fine-grained copper oxide optimized by RSM

The collision probability between fine copper oxide particles and bubbles is low, so it is difficult to recover them effectively by sulfurization flotation. In this paper, sulfuric acid leaching test is carried out on a fine refractory copper oxide whose main gangue is silicate mineral. In order to obtain the best condition and the best leaching rate, RSM was used to optimize the process. Firstly, the box Behnken module in design expert 10.0 was used to design the experimental scheme, and the quadratic regression equation model was established according to the experimental data, and the variance analysis was carried out. According to the contour line and the response curve, the interaction between the factors on the copper leaching rate was analyzed Using design expert 10.0 software to optimize the analysis, get the optimal parameters of the leaching test and carry out the verification test. The optimal experimental conditions are as follows: sulfuric acid concentration 175 g/L, liquid-solid ratio 3.5, leaching time 120 min. Under this condition, the validation test is carried out, and the ideal index of copper leaching rate is 88.43%. The model has high reliability and the test design is reasonable. This optimization process can be used as a reference in production.