Spatiotemporal distribution model for zinc electrowinning process and its parameter estimation

This paper focuses on the distributed parameter modeling of the zinc electrowinning process (ZEWP) to reveal the spatiotemporal distribution of concentration of zinc ions (CZI) and sulfuric acid (CSA) in the electrolyte. Considering the inverse diffusion of such ions in the electrolyte, the dynamic...

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Bibliographic Details
Published inJournal of Central South University Vol. 24; no. 9; pp. 1968 - 1976
Main Authors Deng, Shi-jun, Yang, Chun-hua, Li, Yong-gang, Zhu, Hong-qiu, Wu, Tie-bin
Format Journal Article
LanguageEnglish
Published Changsha Central South University 01.09.2017
Springer Nature B.V
Subjects
Electrolysis
Electrolytes
Electrowinning
Engineering
Mathematical models
Metallic Materials
Parameter estimation
Process parameters
Sulfuric acid
Zinc
zinc electrowinning
parameter estimation
orthogonal approximation
spatiotemporal distribution model
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Summary:This paper focuses on the distributed parameter modeling of the zinc electrowinning process (ZEWP) to reveal the spatiotemporal distribution of concentration of zinc ions (CZI) and sulfuric acid (CSA) in the electrolyte. Considering the inverse diffusion of such ions in the electrolyte, the dynamic distribution of ions is described by the axial dispersion model. A parameter estimation strategy based on orthogonal approximation has been proposed to estimate the unknown parameters in the process model. Different industrial data sets are used to test the effectiveness of the spatiotemporal distribution model and the proposed parameter estimation approach. The results demonstrate that the analytical model can effectively capture the trends of the electrolysis reaction in time and thus has the potential to implement further optimization and control in the ZEWP.
ISSN:2095-2899
2227-5223
DOI:10.1007/s11771-017-3605-7