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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

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

Research units

  • Central South University

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.

Details

Original languageEnglish
Article number8283980
Pages (from-to)564-576
Number of pages13
JournalIEEE/CAA Journal of Automatica Sinica
Volume5
Issue number2
Publication statusPublished - 1 Mar 2018
MoE publication typeA1 Journal article-refereed

    Research areas

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

ID: 32111879