Sphericity Error United Evaluation Using Particle Swarm Optimization Technique
Spheres are widely used in many engineering applications and spherical geometric errors have a serious effect on the performance of mechanical parts. There are three methods commonly used to evaluate sphericity error. They are: minimum zone sphere (MZS) method,minimum circumscribed sphere (MCS) method and maximum inscribed sphere (MIS) method.In this paper.Particle swarm optimization (PSO) inspired by bird flocking and human social relations is proposed to implement the above three sphericity errors evaluation simultaneously.Particles adjust their velocity according to the individuals best position ever found and the best position of all particles. Then,examples are presented to illustrate the effectiveness of the proposed method.Finally,the experimental results evaluated by different methods confirm that the proposed method can find the optimal solutions of the three methods.In comparison with existing evaluation methods,the algorithm is not only easier to implement and there are fewer parameters to adjustt,but also it unifies the three kinds of sphericity error evaluation. Also,it overcomes the drawback of Least Square Method (LSM) that does not guarantee the minimum zone solution specified in the iSO (1101) standard and can result in overestimation of form tolerances and the rejection of good parts.
Sphericity error evaluation Particle swarm optimization Minimum zone sphere Minimum circumscribed sphere Mazimum inscribed sphere
Xiulan Wen Hongsheng Li Fenglin Wang Dongxia Wang
Automation Department,Nanjing Institute of Technology,Nanjing 211167,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
156-161
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）