Correcting Strategy for Distortion of Ring Part Based on Genetic Algorithm

Abstract

There are many distorted parts can be used again after correction work. But currently most of the correction is carried out by the workers experience. Workers need extra time of operation to adjust the parameter of correcting equipment. In this paper, a correction strategy combining finite element method (FEM) and intelligent optimization method is proposed for correction ring shaped parts. This method combines the script interface of finite element software Abaqus and the genetic algorithm (GA) program compiled by Python. The process of generating the results of modeling simulation is compiled into a function with adjustable parameters, and then the simulation results are transferred to the operator corresponding to GA. Finally, the optimal correcting parameters is solved. This method overcomes the problem of great difficulty and low accuracy in manual correction parameters, and can be applied into the control systems of automatic correcting equipment.