摘要
为了满足差速器壳体的快速检测,对差速器壳体形位误差的在线测量方法进行了研究。在基本粒子群优化算法的基础上,引入了自适应惯性因数来改进粒子群优化的过程,并用于形位误差的计算。运用最小二乘法和最小区域法描述了圆柱度、同轴度等形位误差的评定算法。利用改进粒子群优化算法对误差目标函数进行求解。根据实际工程需要确定测量方案,搭建了测量平台。研究结果表明:该方法能够准确测得差速器壳体形位误差,并且减少了人为因素引入的误差。
To realize the rapid detection of the differential case,the on-line measuring method for the geometric tolerance of the differential case was studied. Based on the basic particle swarm optimization algorithm,an adaptive inertia coefficient was used to improve the process of particle swarm optimization and calculate the geometric tolerance. The least squares method and the minimum zone method were used to evaluate geometric tolerance such as cylindricity and coaxiality. The improved particle swarm optimization algorithm was used to solve the objective function of geometric tolerance. The measurement plan was determined and a measurement platform was set up according to the engineering needs. The results show that this method can obtain the geometric tolerance of differential case accurately,and reduce the error caused by human factors.
出处
《河南科技大学学报(自然科学版)》
CAS
北大核心
2017年第6期17-20,27,共5页
Journal of Henan University of Science And Technology:Natural Science
基金
国家自然科学基金项目(51575160)
河南省产学研合作基金项目(162107000028)
关键词
差速器壳体
形位误差
自动测量
粒子群算法
differential case
geometric tolerance
automatic measurement
particle swarm optimization