期刊
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
卷 30, 期 6, 页码 2643-2650出版社
KOREAN SOC MECHANICAL ENGINEERS
DOI: 10.1007/s12206-016-0525-7
关键词
Parameter optimization; Multi-surface polish; SUS; Cu; Circular magnetic field; Particle swarm optimization (PSO)
资金
- International Science & Technology Cooperation Program in China [2014DFG72480]
In this paper, a Multi-objective particle swarm optimization algorithm (MOPSOA) is applied to optimize surface roughness of workpiece after circular magnetic abrasive polishing. The most important parameters of polishing model, namely current, gap between pole and workpiece, spindle speed and polishing time, were considered in this approach. The objective functions of the MOPSOA depend on the quality of surface roughness of polishing materials with both simultaneous surfaces (Ra1, Ra2), which are determined by means of experimental approach with the aid of circular magnetic field. Finally, the effectiveness of the approach is compared between the optimal results with the experimental data. The results show that the new proposed polishing optimization method is more feasible.
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