Modeling, optimization, and control of solution purification process in zinc hydrometallurgy

Bei Sun; Chunhua Yang; Hongqiu Zhu; Yonggang Li; Weihua Gui

doi:10.1109/JAS.2017.7510844

Modeling, optimization, and control of solution purification process in zinc hydrometallurgy

Bei Sun
, Chunhua Yang^*
, Hongqiu Zhu
, Yonggang Li
, Weihua Gui

^*Corresponding author for this work

Not published at Aalto University

Central South University

Research output: Contribution to journal › Article › Scientific › peer-review

47 Citations (Scopus)

Abstract

The solution purification process is an essential step in zinc hydrometallurgy. The performance of solution purification directly affects the normal functioning and economical benefits of zinc hydrometallurgy. This paper summarizes the authors' recent work on the modeling, optimization, and control of solution purification process. The online measurable property of the oxidation reduction potential U+0028 ORP U+0029 and the multiple reactors, multiple running statuses characteristic of the solution purification process are extensively utilized in this research. The absence of reliable online equipment for detecting the impurity ion concentration is circumvented by introducing the oxidationreduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operationalpattern adjustment strategy, and a process evaluation strategy based on the oxidation-reduction potential are proposed. The effectiveness of the proposed research is demonstrated by its industrial experiment.

Original language	English
Article number	8283980
Pages (from-to)	564-576
Number of pages	13
Journal	IEEE/CAA Journal of Automatica Sinica
Volume	5
Issue number	2
DOIs	https://doi.org/10.1109/JAS.2017.7510844
Publication status	Published - 1 Mar 2018
MoE publication type	A1 Journal article-refereed

Funding

Manuscript received November 6, 2016; accepted April 1, 2017. This work was supported by the National Natural Science Foundation of China (61603418, 61673400, 61273185), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621062), and the Innovation-driven Plan in Central South University (2015cx007). Recommended by Associate Editor Weidong Zhang. (Corresponding author: Chunhua Yang.) Citation: B. Sun, C. H. Yang, H. Q. Zhu, Y. G. Li, and W. H. Gui, “Modeling, optimization, and control of solution purification process in zinc hydrometallurgy,” IEEE/CAA J. of Autom. Sinica, vol. 5, no. 2, pp. 564−576, Mar. 2018.

Keywords

Nonferrous metallurgy
Oxidation reduction potential (ORP)
Process control
Solution purification
Zinc hydrometallurgy

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10.1109/JAS.2017.7510844

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title = "Modeling, optimization, and control of solution purification process in zinc hydrometallurgy",

abstract = "The solution purification process is an essential step in zinc hydrometallurgy. The performance of solution purification directly affects the normal functioning and economical benefits of zinc hydrometallurgy. This paper summarizes the authors' recent work on the modeling, optimization, and control of solution purification process. The online measurable property of the oxidation reduction potential U+0028 ORP U+0029 and the multiple reactors, multiple running statuses characteristic of the solution purification process are extensively utilized in this research. The absence of reliable online equipment for detecting the impurity ion concentration is circumvented by introducing the oxidationreduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operationalpattern adjustment strategy, and a process evaluation strategy based on the oxidation-reduction potential are proposed. The effectiveness of the proposed research is demonstrated by its industrial experiment.",

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AU - Sun, Bei

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AU - Zhu, Hongqiu

AU - Li, Yonggang

AU - Gui, Weihua

PY - 2018/3/1

Y1 - 2018/3/1

N2 - The solution purification process is an essential step in zinc hydrometallurgy. The performance of solution purification directly affects the normal functioning and economical benefits of zinc hydrometallurgy. This paper summarizes the authors' recent work on the modeling, optimization, and control of solution purification process. The online measurable property of the oxidation reduction potential U+0028 ORP U+0029 and the multiple reactors, multiple running statuses characteristic of the solution purification process are extensively utilized in this research. The absence of reliable online equipment for detecting the impurity ion concentration is circumvented by introducing the oxidationreduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operationalpattern adjustment strategy, and a process evaluation strategy based on the oxidation-reduction potential are proposed. The effectiveness of the proposed research is demonstrated by its industrial experiment.

AB - The solution purification process is an essential step in zinc hydrometallurgy. The performance of solution purification directly affects the normal functioning and economical benefits of zinc hydrometallurgy. This paper summarizes the authors' recent work on the modeling, optimization, and control of solution purification process. The online measurable property of the oxidation reduction potential U+0028 ORP U+0029 and the multiple reactors, multiple running statuses characteristic of the solution purification process are extensively utilized in this research. The absence of reliable online equipment for detecting the impurity ion concentration is circumvented by introducing the oxidationreduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operationalpattern adjustment strategy, and a process evaluation strategy based on the oxidation-reduction potential are proposed. The effectiveness of the proposed research is demonstrated by its industrial experiment.

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Modeling, optimization, and control of solution purification process in zinc hydrometallurgy

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