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| Theoretical study on the separation process of manganese carbonate ore considering gravity-magnetic force coupling with magnetic system optimization of a ZCLA magnetic separator |
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Received:March 26, 2024
Revised:September 17, 2024
Accepted:November 04, 2024
Published Online:August 05, 2025
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| DOI： |
| KeyWord:magnetic;separator, low-grade;manganese ore, CFD, gravity-magnetic;force coupling, magnetic-to-weight;ratio. |
| Author | Institution |
| WU JIXIAN |
BEIJING UNIVERSITY OF TECHNOLOGY |
| TAN ZHE |
Beijing University of Technology |
| ZHANG XIAOGUANG |
BEIJING UNIVERSITY OF TECHNOLOGY |
| JIANG GUOSAI |
BEIJING UNIVERSITY OF TECHNOLOGY |
| PAN DE''AN |
BEIJING UNIVERSITY OF TECHNOLOGY |
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| Abstract: |
| In this study, the coupling model of FEM, CFD and DPM was used to simulate trajectory of the manganese carbonate ore considering gravity-magnetic force coupling during the separation process using a ZCLA magnetic separator. MAXWELL software was used to construct the magnetic finite element model of the magnetic separator, and the response surface method was adopted to explore the influence of magnet thickness, its distance from the drum, number of magnet group and other factors on the magnetic flux density on the inner surface of the drum, so as to optimize the structure of magnetic system. A spherical particle model was constructed and the force of the near-field manganese carbonate ore on the surface of the sorting drum under the action of magnetic field was explored. The software FLUENT was used to import the space magnetic field force into the DPM particle model, and the gravity-magnetic force coupling model was established. By coupling the DPM model with the VOF model, a gas-liquid-solid three-phase wet gravity-magnetic force coupling separation model was constructed, and the optimal magnetic-to-weight ratio of manganese carbonate ore under typical working conditions was obtained. The results show that the maximum magnetic flux density of the optimized magnetic system model is increased by 27.50% compared with the benchmark model, and the magnetic-to-weight ratio between 1.125 and 1.25 can achieve effective sorting. By comparing the relevant experimental data from industry and literature, the simulation results of this model have been preliminarily verified and have certain reference value. |
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