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Optimization Study on the Structural Parameters of the Planar Extrusion Magnetic System of the Flat Magnetic Separator
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Minkun MO1, 2, Jiahuang TENG1, 2, Chaoxu LIANG1, 2, Fuchuan HUANG1, 2
Mining Research and Development | 2025, 45(1) : 230 - 237
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Mining Research and Development | 2025, 45(1): 230-237
Optimization Study on the Structural Parameters of the Planar Extrusion Magnetic System of the Flat Magnetic Separator
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Minkun MO1, 2, Jiahuang TENG1, 2, Chaoxu LIANG1, 2, Fuchuan HUANG1, 2
Affiliations
  • 1.School of Mechanical Engineering, Guangxi University, Nanning, Guangxi 530004, China
  • 2.Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning, Guangxi 530004, China
Published: 2025-01-25
Outline
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In order to improve the magnetic field performance of the flat magnetic separator and reduce its manufacturing costs, the finite element method, response surface method, and Nondominated Sorting Genetic Algorithm Ⅱ (NSGA- Ⅱ) were used to perform multi-objective optimization analysis on the structural parameters of the planar extrusion magnetic system. Firstly, a response surface analysis experiment was conducted using the structural parameters of the extrusion magnetic system as variables. The response values of the area field intensity and magnet efficiency density were calculated through numerical simulation, and a regression model of the objective function was constructed. The fitting accuracy of each regression model was evaluated using analysis of variance. Then, a multi-objective optimization model was constructed with the objectives of area field intensity, magnet efficiency density, and number of magnetic poles, and a Pareto solution set was calculated to obtain a series of optimization schemes. The research results indicate that the regression model of area field intensity and magnet efficiency density has a high fitting accuracy and a good predictive ability. The Pareto solution set reveals a conflicting relationship between the area field intensity with the efficiency density and number of magnetic poles of the magnet. The error range between the multi-objective optimization model with the simulation results is 0.73%−5.30%, which verifies the reliability of the multi-objective genetic algorithm in optimizing the design parameters of the planar extrusion magnetic system.

Planar extrusion magnetic system  /  Response surface method  /  NSGA-Ⅱ  /  Multi-objective optimal design  /  Area field intensity
莫民坤, 滕家皇, 梁超旭, 黄福川. 平板磁选机平面挤压磁系结构参数优化研究. 矿业研究与开发, 2025 , 45 (1) : 230 -237 .
Minkun MO, Jiahuang TENG, Chaoxu LIANG, Fuchuan HUANG. Optimization Study on the Structural Parameters of the Planar Extrusion Magnetic System of the Flat Magnetic Separator[J]. Mining Research and Development, 2025 , 45 (1) : 230 -237 .
Year 2025 volume 45 Issue 1
46
17
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  • Receive Date:2024-02-18
  • Online Date:2026-10-29
  • Published:2025-01-25
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  • Received:2024-02-18
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Affiliations
    1.School of Mechanical Engineering, Guangxi University, Nanning, Guangxi 530004, China
    2.Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning, Guangxi 530004, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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