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Multi-Objective Optimization of Forth Flotation Process: An Application in Gold Ore

Author

Listed:
  • Wen Zhang

    (Department of Industrial Engineering, College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Qinghe Yuan

    (Department of Industrial Engineering, College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    National Demonstration Center for Experimental Mining Engineering Education, Qingdao 266590, China)

  • Shun Jia

    (Department of Industrial Engineering, College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    National Demonstration Center for Experimental Mining Engineering Education, Qingdao 266590, China)

  • Zhaojun (Steven) Li

    (Department of Industrial Engineering & Engineering Management, College of Engineering, Western New England University, Springfield, MA 01119, USA)

  • Xianhui Yin

    (College of Quality and Standardization, Qingdao University, Qingdao 266071, China)

Abstract

In order to improve production control ability in the gold ore flotation process, the output index in this process was studied. Flotation is an effective gold recovery process. Gold concentrate grade and gold recovery rate are the key output indicators of the flotation process. However, in the existing studies exploring the impact of parameter changes on the output indicators, the control ability of the output indicators is insufficient, and the interaction between variables is inadequately considered. Therefore, a multi-objective optimization model based on response surface methodology and the non-dominated sorting genetic algorithm-II (NSGA-II) is proposed in this paper. Firstly, the experiment was designed based on the Box-Behnken principle. Based on the experimental results, the interaction between variables was analyzed and the response polynomial was fitted. Secondly, a multi-objective optimization model was constructed, and the NSGA-II was used to solve the model. Finally, an example of gold ore flotation was used to verify the effectiveness of the method. The optimal solution was a gold concentrate grade of 75.46 g/t and a gold recovery rate of 85.98%.

Suggested Citation

  • Wen Zhang & Qinghe Yuan & Shun Jia & Zhaojun (Steven) Li & Xianhui Yin, 2021. "Multi-Objective Optimization of Forth Flotation Process: An Application in Gold Ore," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8314-:d:601487
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    References listed on IDEAS

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    1. Jie Jian & Yu Guo & Lin Jiang & Yanyan An & Jiafu Su, 2019. "A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    2. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    3. Aiban Abdulhakim Saeed Ghaleb & Shamsul Rahman Mohamed Kutty & Yeek-Chia Ho & Ahmad Hussaini Jagaba & Azmatullah Noor & Abdulnaser Mohammed Al-Sabaeei & Najib Mohammed Yahya Almahbashi, 2020. "Response Surface Methodology to Optimize Methane Production from Mesophilic Anaerobic Co-Digestion of Oily-Biological Sludge and Sugarcane Bagasse," Sustainability, MDPI, vol. 12(5), pages 1-11, March.
    4. Hui Zheng & Meng Xing & Ting Cao & Junxia Zhang, 2019. "Uncertainty Study and Parameter Optimization of Carbon Footprint Analysis for Fermentation Cylinder," Sustainability, MDPI, vol. 11(3), pages 1-13, January.
    5. Ming Zhang & Qianwen Huang & Sihan Liu & Huiying Li, 2019. "Multi-Objective Optimization of Aircraft Taxiing on the Airport Surface with Consideration to Taxiing Conflicts and the Airport Environment," Sustainability, MDPI, vol. 11(23), pages 1-27, November.
    6. Keyan He & Huajie Hong & Renzhong Tang & Junyu Wei, 2020. "Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy," Sustainability, MDPI, vol. 12(2), pages 1-32, January.
    7. Maoz & Saddam Ali & Noor Muhammad & Ahmad Amin & Mohammad Sohaib & Abdul Basit & Tanvir Ahmad, 2019. "Parametric Optimization of Earth to Air Heat Exchanger Using Response Surface Method," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
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