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Multi-objective Optimization Design of Permanent Magnet Roller Based on Improved Particle Swarm Optimization Algorithm and RMxprt
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Li-jie FENG1, Shuai-shuai FU1, Hu-yi ZHANG2
Science Technology and Engineering | 2025, 25(5) : 1936 - 1943
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Science Technology and Engineering | 2025, 25(5): 1936-1943
Papers·Electrical Technology
Multi-objective Optimization Design of Permanent Magnet Roller Based on Improved Particle Swarm Optimization Algorithm and RMxprt
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Li-jie FENG1, Shuai-shuai FU1, Hu-yi ZHANG2
Affiliations
  • 1 College of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China
  • 2 Shanghai Aircraft Manufacturing Co., Ltd., Aviation Manufacturing Technology Research Institute, Shanghai 201324, China
Published: 2025-02-18 doi: 10.12404/j.issn.1671-1815.2309312
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A novel multi-objective optimization design method for permanent magnet roller based on improved particle swarm optimization algorithm and RMxprt co-simulation was developed to address the issue of low optimization efficiency when relying solely on expert experience. Firstly, an improved particle swarm optimization algorithm was proposed to enhance the convergence speed of the optimization process. Secondly, based on the analysis of the relationship between the structural and performance parameters of the permanent magnet roller, the variable parameters, constraint parameters, and optimization parameters for the improved particle swarm optimization algorithm were determined. Lastly, a MATLAB program for the improved particle swarm optimization algorithm was developed to achieve closed-loop iteration and comparative optimization of the input and output parameters in RMxprt, thereby improving the efficiency and effectiveness of the optimization design for the permanent magnet roller.

permanent magnet roller  /  improved particle swarm optimization algorithm  /  multi-objective optimization design  /  co-simulation
Li-jie FENG, Shuai-shuai FU, Hu-yi ZHANG. Multi-objective Optimization Design of Permanent Magnet Roller Based on Improved Particle Swarm Optimization Algorithm and RMxprt[J]. Science Technology and Engineering, 2025 , 25 (5) : 1936 -1943 . DOI: 10.12404/j.issn.1671-1815.2309312
Year 2025 volume 25 Issue 5
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Article Info
doi: 10.12404/j.issn.1671-1815.2309312
  • Receive Date:2023-11-27
  • Online Date:2025-07-29
  • Published:2025-02-18
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  • Received:2023-11-27
  • Revised:2024-11-15
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    1 College of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China
    2 Shanghai Aircraft Manufacturing Co., Ltd., Aviation Manufacturing Technology Research Institute, Shanghai 201324, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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