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氧化锌矿浸出锌的优化实验研究
Optimization experiment study on Zinc oxide ore leaching zinc
摘要点击 59  全文点击 25  投稿时间:2016-03-04  修订日期:2016-04-26
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DOI编号   
中文关键词   响应曲面法  优化  氧化锌矿  交互作用
英文关键词   Response Surface Methodology(RSM)  optimization  zinc oxide ore  interaction
基金项目   
作者单位E-mail
李来才 四川师范大学化学学院 liline33@sohu.com 
黄平 攀枝花学院  
张远 攀枝花学院  
中文摘要
    采用响应曲面法(Response Surface Methodology,RSM),选取Quadratic模型,据此模型进行了Box-Behnken实验设计优化在NH3-(NH4)2SO4-H2O体系浸出氧化锌矿的实验工艺参数,建立了回归方程。 回归分析模型的“Prob>F”值为0.0023,小于0.05,模型模拟精度高,回归方程的全体自变量与因变量之间是显著的,回归方程可信。模型分析发现,液固比、浸出温度、浸出时间三个因素对锌的浸出率影响较为显著,对响应面和等高线图进行分析,液固比和浸出时间的交互作用较为显著。RSM法优化最佳浸出实验参数液固比12.81、浸出温度30℃、浸出时间4.15h、总氨浓度7.5 mol•L-1,预测浸出率86.2%。综合考虑操作的可行性,在采用NH3-(NH4)2SO4-H2O体系浸出氧化锌矿工艺中,选取液固比13、浸出温度30℃、浸出时间4h、总氨浓度7.5 mol•L-1,测得浸出率为86.0%,与理论预测值相比误差为0.23%。
英文摘要
    Abstract:Using Response Surface Methodology(RSM), selecting Quadratic model, on the basis of model Box-Behnken experiment design optimization in NH3-(NH4)2SO4-H2O system leaching of zinc oxide ore experiment process parameters, and the regression equation is established.Regression analysis model of "Prob>F" value of 0.0023, less than 0.05, the model of high precision, all between independent variable and dependent variable of the regression equation is significant, regression equation to be trusted. Model analysis found that the liquid-solid ratio, leaching temperature, leaching time, the three factors that affect the leaching rate of zinc is significant, the analysis of the response surface and contour plot, liquid-solid ratio and the leaching time of interaction is significant.RSM analysis ,the optimum leaching conditions were obtained as follows: liquid-solid ratio 12.81, leaching temperature 30 ℃, leaching time of 4.15 h, total ammonia concentration of 7.5 mol•L-1, predicting leaching rate was 86.2%.Considering the feasibility of the operation, in the NH3-(NH4)2SO4-H2O system leaching process of zinc oxide ore, selected liquid-solid ratio 13, leaching time 4h, leaching temperature 30 ℃, total ammonia concentration of 7.5 mol•L-1, measured the leaching rate was 86.0%, compared with the theoretical prediction error is 0.23%.

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