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Spatiotemporal distribution model for zinc electrowinning process and its parameter estimation

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Abstract

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.

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Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, 410083, China

    Shi-jun Deng  (邓仕钧), Chun-hua Yang  (阳春华), Yong-gang Li  (李勇刚), Hong-qiu Zhu  (朱红求) & Tie-bin Wu  (伍铁斌)

Authors
  1. Shi-jun Deng  (邓仕钧)
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  2. Chun-hua Yang  (阳春华)
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  3. Yong-gang Li  (李勇刚)
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  4. Hong-qiu Zhu  (朱红求)
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  5. Tie-bin Wu  (伍铁斌)
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Corresponding author

Correspondence to Yong-gang Li  (李勇刚).

Additional information

Foundation item: Project(61673400) supported by the National Natural Science Foundation of China; Project(2015cx007) supported by the Innovation-driven Plan in Central South University, China; Project(61321003) supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Projects(61590921, 61590923) supported by the Major Program of the National Natural Science Foundation of China

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Deng, Sj., Yang, Ch., Li, Yg. et al. Spatiotemporal distribution model for zinc electrowinning process and its parameter estimation. J. Cent. South Univ. 24, 1968–1976 (2017). https://doi.org/10.1007/s11771-017-3605-7

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  • DOI: https://doi.org/10.1007/s11771-017-3605-7

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