Multi-objective optimization design method for the machine tool’s structural parts based on computer-aided engineering

Abstract

In order to improve the static and dynamic performance of the machine tool’s structural parts and achieve lightweight design at the same time, a multi-objective optimization design method is proposed. The orthogonal experimental design method and response surface method are adapted to establish the optimization model, while a modified particle swarm optimization algorithm and grey relational analysis method are adapted to solve the model. The proposed method was used to conduct multi-objective optimization design for a gantry machine tool’s slide-seat. Based on the computer-aided engineering analysis, the response surface optimization model was established. After verifying the accuracy of response surface optimization model, five groups of non-inferior solutions are obtained by using the particle swarm optimization algorithm. The optimal design scheme was selected from the non-inferior solution set through using the grey relational analysis method, which reduces slide-seat’s mass and improves its static and dynamic performance considerably. After conducting static and dynamic experimental study on the slide-seats before and after multi-objective optimization design, the rationality and feasibility of the multi-objective optimization design method for the machine tool’s structural parts were verified.