响应面法优化钛白废酸还原浸出硫酸烧渣的条件研究  

Optimization of reduction leaching conditions for pyrite cinder using titanium dioxide waste acid by response surface methodology

作　　者：王青鸿 田从学 吴秀坤 Wang Qinghong;Tian Congxue;Wu Xiukun(School of Vanadium and Titanium,Panzhihua University,Panzhihua 617000,Sichuan,China)

机构地区：[1]攀枝花学院钒钛学院,四川攀枝花617000

出　　处：《钢铁钒钛》2024年第3期107-113,共7页Iron Steel Vanadium Titanium

基　　金：攀西试验区第六批科技攻关项目(川财建[2022]390号1-9);四川省科技成果转化示范项目(23ZHSF0237);四川省科技计划转移支付专项(22ZYZF-GG-02,22ZYZF-GG-05);四川省科技服务业示范项目(2022KJFWYSF-1);四川省科技成果转移转化示范项目(24ZHSF0230)。

摘　　要：采用Box-Behnken设计的响应面法,选取铁粉用量、还原时间和浸出温度三个变量,研究并优化了钛白废酸还原浸出硫酸烧渣的浸出条件。建立了拟合效果较好的浸出条件的预测模型,以预测浸出率或优化浸出变量值。回归方程模型显著可靠,相关系数R2为0.996 1。浸出条件对反应平衡、浸出物溶解度及反应体系性质等有重要影响,其中铁粉用量与浸出温度的协同交互作用影响最大。验证试验表明,在铁粉用量10.347 g、还原时间2 h、浸出温度88℃的最佳条件下,浸出率可达83.63%以上。The reduction leaching conditions for pyrite cinder leaching by titanium dioxide waste acid were investigated and optimized,using the response surface methodology designed by Box-Behnken method,and the iron powder dosage,reduction time,and leaching temperature were selected as the three variables.The established predictive model for leaching conditions was with good fitting results to predict leaching yields or optimize leaching variable values.The regression equation model was significantly reliable,with a correlation coefficient R2 of 0.9961.The leaching conditions had important effects on the leaching reaction equilibrium,solubility of leached materials,and properties of reaction systems,among which the synergistic interaction between iron powder dosage and leaching temperature had the greatest impact.The verification experiments confirmed that the leaching yield values could be achieved over 83.63%under the optimal conditions,with the iron powder dosage of 10.347 g,reduction time of 2 h and leaching temperature of 88℃.

关 键 词：钛白废酸 硫酸烧渣 还原浸出 协同交互作用 响应面法 

分 类 号：X788[环境科学与工程—环境工程] TF823[冶金工程—有色金属冶金]