A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 5 Issue 2
Mar.  2018

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Bei Sun, Chunhua Yang, Hongqiu Zhu, Yonggang Li and Weihua Gui, "Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 564-576, Mar. 2018. doi: 10.1109/JAS.2017.7510844
Citation: Bei Sun, Chunhua Yang, Hongqiu Zhu, Yonggang Li and Weihua Gui, "Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 564-576, Mar. 2018. doi: 10.1109/JAS.2017.7510844

Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy

doi: 10.1109/JAS.2017.7510844
Funds:

the National Natural Science Foundation of China 61603418

the National Natural Science Foundation of China 61673400

the National Natural Science Foundation of China 61273185

the Foundation for Innovative Research Groups of the National Natural Science Foundation of China 61621062

the Innovation-driven Plan in Central South University 2015cx007

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  • 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 (ORP) 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 oxidation-reduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operational-pattern 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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