A Three-Dimensional Comprehensive Numerical Model of Ion Transport during Electro-Refining Process for Scrap-Metal Recycling

• Published in: Materials Vol. 15; no. 8; p. 2789
• Main Authors: Liu, Chang, Li, Guangqiang, Zhang, Lifeng, Wang, Qiang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.04.2022; MDPI
• Subjects: Anodes; computational fluid dynamics; convection; Copper; electro-migration; electro-refining process; Electrodes; Electrolytes; Fluid dynamics; Fluid flow; Fuel cells; Heat transfer; Ion concentration; Ion transport; Ions; Mathematical models; metal recycling; Metal scrap; Metals; Numerical models; R&D; Raw materials; Recycling; Research & development; Reynolds number; Silver; Simulation; Three dimensional models; Beijing China; China; convection; electro-refining process; metal recycling; electro-migration; ion transport; computational fluid dynamics
• ISSN: 1996-1944; 1996-1944
• DOI: 10.3390/ma15082789

A transient three-dimensional comprehensive numerical model was established to study ion transport caused by diffusion, convection, and electro-migration in the electro-refining process for scrap-metal recycling. The Poisson-Nernst-Planck equations were used to define ion transport within the electrolyte, while the Naiver-Stokes equations and the energy equation were employed to describe fluid flow and heat transfer. In addition, the Butler-Volmer formulation was used to represent the kinetics of the electrochemical reaction. The comparison between the measured and simulated data indicates the reliability of the model. Under the action of diffusion and electro-migration, the positive copper ion moves from the anode to the cathode, while the negative sulfate ion migrates in the opposite direction. The distribution of the ion concentration, however, greatly changes if the fluid flow is taken into account. The ion concentration around the anode and the rate of the electrochemical reaction that occurs at the anode surface are reduced by the fluid flow. The proposed computational framework offers a valuable basis for future research and development in the field of scrap-metal recycling technology.