Improvement of modeling on the Pidgeon process for magnesium production by introducing the variable thermophysical properties

  • Rongbin Li School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, China
  • Chao Wang Electric Power Research Institute of State Grid Ningxia Electric Power Company, Yinchuan, , China
  • Zheng Wang Univeristy of Science and Technology Beijing
  • Peixu Yang Zhengzhou University, Zhengzhou, China
  • Fei Xue Electric Power Research Institute of State Grid Ningxia Electric Power Company, Yinchuan, China
  • Fengqin Liu School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, China
  • Shaojun Zhang Zhengzhou University, Zhengzhou, China
Keywords: Magnesium; Pidgeon process; Numerical calculation; Heat transfer; Thermophysical property

Abstract


The variable thermophysical properties was introduced in the coupling model of heat transfer and reduction reaction in the Pidgeon process to improve the accuracy of numerical calculation in this paper. The distribution of temperature and magnesium reduction extent in the briquette layer, and overall magnesium reduction extent in the retort was investigated by the improved model. By introducing the variable thermophysical properties into the model, the overall magnesium reduction extent calculated were closer to the reality than those of the previous study, showing a better agreement with the statistical results of industrial production. The model results clearly presented the characteristic ‘Layer Shift’ in the briquette layer. The formed slag layer with lower thermal conductivity between the heat source and reaction interface makes it hard for the reaction to move forward inside layers, resulting into the slow magnesium production rate in the Pidgeon process. Consequently, the variable thermal conductivity in the range of 0.4 W×m-1×K-1~1.4 W×m-1×K-1 related to the briquette temperature and composition should be seriously considered in the high-accurate model. The improved model can provide a more accurate quantitative prediction in magnesium reduction in the Pidgeon process, which is of significance in innovation of key equipment and development of new magnesium production techniques.

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Published
2022/12/23
How to Cite
Li, R., Wang, C., Wang, Z., Yang, P., Xue, F., Liu, F., & Zhang, S. (2022). Improvement of modeling on the Pidgeon process for magnesium production by introducing the variable thermophysical properties. Journal of Mining and Metallurgy, Section B: Metallurgy, 58(3), 451-459. Retrieved from https://aseestant.ceon.rs/index.php/jmm/article/view/35811
Issue
Vol. 58 No. 3 (2022)
Section
Original Scientific Paper

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