关键词: 变截面涡旋盘, 瞬时铣削力, 粒子群优化算法, 模型参数

Abstract: In order to solve the multivariate nonlinear problems in the prediction of instantaneous milling forces in variable cross-section scroll plate machining processes, a mathematical model for instantaneous milling force considering the tool runout was established based on the actual milling processes, and an improved PSO algorithm was proposed to solve the mathematical model to improve the accuracy of the instantaneous milling force prediction model. The method was verified by the instantaneous milling force experiment results under four groups of milling parameters. The results show that the instantaneous milling force curves obtained by the proposed method have a high degree of agreement with the experimentally measured ones in terms of the shape and peak value, and the peak errors of the four groups of tests is within 15%. The proposed PSO algorithm could effectively improve the convergence rate of instantaneous milling force identification of variable cross-section scroll plate machining. The model parameters can be identified with higher precision and fewer trials, which reduces the test costs compared with the average milling force solving method.

Key words: variable cross-section scroll plate, instantaneous milling force, particle swarm optimization(PSO) algorithm, model parameter