基于遗传算法的机器零件圆柱度误差评定方法研究

Construction and application of cylindrical error evaluation method for machine parts based on genetic algorithm

为解决机器零件圆柱度误差在线评定过程复杂和精度较低的问题,将遗传算法应用于圆柱度误差在线评定方法的研究中。根据测量装置的工作原理,建立了圆柱度误差评定的数学模型,并对其进行了简化;采用实数编码和引入迁移算子的遗传算法对最小区域圆柱度误差进行了评定,通过设计圆柱度误差在线检测装置,利用Matlab和VC混合编程的方式,完成了圆柱度误差评定系统的构建,最后采用实验数据对系统性能进行了测试。研究结果表明,所构建的误差评定系统能够简化误差评定过程,并可满足机器零件精度检验的要求。

In order to solve the problems of complex and low accuracy of the on-line evaluation for machine parts,the genetic algorithm was investigated. According to the working principle of the measuring device,the mathematical model of the cylindrical error evaluation was established and simplified. The minimum regional error was evaluated,by using the genetic algorithm of real number encoding and transfer operator. The construction of the system was accomplished by the on-line detection device and mixed program of Matlab and VC,and the performance of the system was tested by the experimental data. The research results show that the error evaluation system can simplify the processing and meet the accuracy requirement of parts detection.