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Prediction model for cell voltage of copper electrorefining using response surface methodology |
Received:March 04, 2018 Revised:March 07, 2018 |
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KeyWord:copper electrorefining; power consumption; response surface methodology; cell voltage; Plackett-Burman design |
Author | Institution |
REN Bingzhi |
重庆科技学院 冶金与材料工程学院 冶金工程系 |
XIA Wentang |
重庆科技学院 冶金与材料工程学院 冶金工程系 |
WANG Hongdan |
重庆科技学院 冶金与材料工程学院 冶金工程系 |
XIANG Wei |
重庆科技学院 冶金与材料工程学院 冶金工程系 |
WANG Lei |
重庆科技学院 冶金与材料工程学院 冶金工程系 |
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Abstract: |
In the copper electrorefining process, the main power consumption is direct current power consumption, while cell voltage has the greatest impact on direct current power consumption. The Plackett-Burman design was firstly used to screen out four factors that have significant impacts on the cell voltage of copper electrorefining. The order of their significance is: electrolyte temperature ? current density ? inter-electrode spacing ? H2SO4 concentration. Based on this, the central composite design (CCD) combining with response surface methodology (RSM) was employed to optimize the significant influencing factors of copper electrorefining cell voltage. A quadratic mathematical model of significant influencing factors and cell voltage was established. Under the current density of 280 A/m2, the lowest cell voltage conditions were the electrolyte temperature of 60 ℃, H2SO4 concentration of 210 g/L and inter-electrode spacing of 20 mm calculated from the regression model. Experiments show that the prediction model based on RSM is accurate and reliable, which has a good guidance to reduce the power consumption of copper electrorefining. |
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