Xing-ran Zhang, Zuo-hua Liu, Xing Fan, Xin Lian,  and Chang-yuan Tao, Optimization of reaction conditions for the electroleaching of manganese from low-grade pyrolusite, Int. J. Miner. Metall. Mater., 22(2015), No. 11, pp. 1121-1130. https://doi.org/10.1007/s12613-015-1176-x
Cite this article as:
Xing-ran Zhang, Zuo-hua Liu, Xing Fan, Xin Lian,  and Chang-yuan Tao, Optimization of reaction conditions for the electroleaching of manganese from low-grade pyrolusite, Int. J. Miner. Metall. Mater., 22(2015), No. 11, pp. 1121-1130. https://doi.org/10.1007/s12613-015-1176-x

Optimization of reaction conditions for the electroleaching of manganese from low-grade pyrolusite

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  • Corresponding author:

    Chang-yuan Tao    E-mail: taocy@cqu.edu.cn

  • Received: 1 April 2015Revised: 23 May 2015Accepted: 27 May 2015
  • In the present study, a response surface methodology was used to optimize the electroleaching of Mn from low-grade pyrolusite. Ferrous sulfate heptahydrate was used in this reaction as a reducing agent in sulfuric acid solutions. The effect of six process variables, including the mass ratio of ferrous sulfate heptahydrate to pyrolusite, mass ratio of sulfuric acid to pyrolusite, liquid-to-solid ratio, current density, leaching temperature, and leaching time, as well as their binary interactions, were modeled. The results revealed that the order of these factors with respect to their effects on the leaching efficiency were mass ratio of ferrous sulfate heptahydrate to pyrolusite > leaching time > mass ratio of sulfuric acid to pyrolusite > liquid-to-solid ratio > leaching temperature > current density. The optimum conditions were as follows: 1.10:1 mass ratio of ferrous sulfate heptahydrate to pyrolusite, 0.9:1 mass ratio of sulfuric acid to pyrolusite, liquid-to-solid ratio of 0.7:1, current density of 947 A/m2, leaching time of 180 min, and leaching temperature of 73℃. Under these conditions, the predicted leaching efficiency for Mn was 94.1%; the obtained experimental result was 95.7%, which confirmed the validity of the model.
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