Abstract: In order to improve milling precision and processing efficiency of thin-walled frame structural parts, a method for optimizing the milling processing parameters of thin-walled frame structural parts was proposed. Aiming at the problems of standard particle swarm algorithm that are easy to fall into local optimal solutions and cannot adjust weight coefficients adaptively, this method combined chaos optimization algorithm and multi-objective particle swarm optimization algorithm to establish the optimization target based on milling force and material removal rate per unit time. The four factors of milling were taken as optimization variables, and the spindle speed, feed rate, milling depth, and surface roughness were taken as constraints. The machining error of each optimization solution was calculated accurately by finite element simulation, and the results were fed back to the optimization algorithm in time, so as to find the optimal machining parameter combination. Taking typical thin-walled structure sidewall milling as an example, experimental parameters, standard particle swarm optimization parameters, and optimization results of the algorithm proposed in this paper were used for simulation respectively, and the simulation results were analyzed and compared, which proves the effectiveness of the proposed method. 

Key words: thin-walled workpiece, milling, machining error, process parameter optimization, multi-objective chaotic particle swarm optimization algorithm