Effect of Magnesium Ion on the Zinc Electrodeposition from Acidic Sulfate Electrolyte

Lin, Tingyu; Xie, Gang; Yu, Xiaohua; Li, Rongxing; Zeng, Guisheng

doi:10.1007/s11661-011-0917-3

Cited by 7 publications

(1 citation statement)

References 18 publications

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“…Mn concentration in the electrolyte is maintained at between 7 and 8 g/dm 3 in order to produce the MnO 2 layer required for the corrosion protection of the Pb-Ag anodes [27][28][29]. However, the high concentration of Mg (11-12 g/dm 3 ), besides causing the blockage of pipe systems [30][31][32] and difficulties in the mass-transfer process of zinc deposition [33], could also create extra electrolyte overpotential. From Aalto-I and Equation ( 18), approximately 15% of the electrolyte ohmic drop can be reduced by lowering the Mg concentration from 11.2 g/dm 3 to 2 g/dm 3 .…”

Section: Model Utilizationmentioning

confidence: 99%

Modelling the Effect of Solution Composition and Temperature on the Conductivity of Zinc Electrowinning Electrolytes

Wang

Aji

Wilson

et al. 2021

Metals

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Zinc electrowinning is an energy-intensive step of hydrometallurgical zinc production in which ohmic drop contributes the second highest overpotential in the process. As the ohmic drop is a result of electrolyte conductivity, three conductivity models (Aalto-I, Aalto-II and Aalto-III) were formulated in this study based on the synthetic industrial electrolyte conditions of Zn (50–70 g/dm3), H2SO4 (150–200 g/dm3), Mn (0–8 g/dm3), Mg (0–4 g/dm3), and temperature, T (30–40 °C). These studies indicate that electrolyte conductivity increases with temperature and H2SO4 concentration, whereas metal ions have negative effects on conductivity. In addition, the interaction effects of temperature and the concentrations of metal ions on solution conductivity were tested by comparing the performance of the linear model (Aalto-I) and interrelated models (Aalto-II and Aalto-III) to determine their significance in the electrowinning process. Statistical analysis shows that Aalto-I has the highest accuracy of all the models developed and investigated in this study. From the industrial validation, Aalto-I also demonstrates a high level of correlation in comparison to the other models presented in this study. Further comparison of model Aalto-I with the existing published models from previous studies shows that model Aalto-I substantially improves the accuracy of the zinc conductivity empirical model.

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