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

作者：NhatTan Nguyen; Yin, ShaoHui^*; Chen, FengJun; Yin, HanFeng; VanThoan Pham; TrongNhan Tran

来源：Journal of Mechanical Science and Technology, 2016, 30(6): 2643-2650.

DOI：10.1007/s12206-016-0525-7

• Parameter optimization
• Multi-surface polish
• SUS
• Cu
• Circular magnetic field
• Particle swarm optimization (PSO)

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.

• 出版日期2016-6
• 单位湖南大学