Dynamic Coupling Model of the Magnetic Separation Process Based on FEM, CFD, and DEM

• Published in: Processes Vol. 13; no. 5; p. 1303
• Main Authors: Wang, Xiaoming, Shen, Zhengchang, Hu, Yonghui, Liang, Guodong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: Algorithms; Computational fluid dynamics; Coupling; Dipole moments; Discrete element method; Finite element method; Finite volume method; Magnetic fields; Magnetic moments; Magnetic separation; Mathematical models; Mineral processing; Monte Carlo simulation; Multiphase flow; Slurries; Velocity; China
• ISSN: 2227-9717; 2227-9717
• DOI: 10.3390/pr13051303

Magnetic separation is an important method in the processing process, and its essence is the targeted dispersion of the mineral processing slurry pulp in the magnetic field space. The slurry is a complex multiphase fluid system with continuous phase carrying a large number of discrete phase particles, in which the magnetic particles agglomerate, migrate, and disperse under the dominance of magnetic force. In this process, there is nonlinear and unstable dynamic coupling between the continuous phase (liquid) and the discrete phase (solid particles) and between the discrete phases. In this paper, a dynamic cyclic multi-dipole magnetic moment algorithm with a higher calculation accuracy is innovatively proposed to calculate the magnetic interaction force between particles. Moreover, the P-E magnetization model suitable for a two-dimensional uniform magnetic field is further improved and optimized to make it applicable to a three-dimensional gradient magnetic field. Finally, based on the coupling of the Finite Element Method (FEM), Computational Fluid Dynamics (CFD), and Discrete Element Method (DEM), a dynamic coupling model capable of accurately simulating the magnetic separation process is developed. This model can be used to study the separation behavior of particles under a multiphase flow and multi-force field and to explore the motion behavior of magnetic particles.