Multi-objective optimization of circular magnetic abrasive polishing of SUS304 and Cu materials

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• 作者：NhatTan Nguyen ; ShaoHui Yin ; FengJun Chen…
• 刊名：Journal of Mechanical Science and Technology
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：30
• 期：6
• 页码：2643-2650
• 全文大小：2,487 KB
• 刊物类别：Engineering
• 刊物主题：Mechanical Engineering
  Structural Mechanics
  Control Engineering
  Industrial and Production Engineering
  
• 出版者：The Korean Society of Mechanical Engineers
• ISSN：1976-3824
• 卷排序：30

文摘

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.KeywordsParameter optimizationMulti-surface polishSUSCuCircular magnetic fieldParticle swarm optimization (PSO)