重庆理工大学学报2024，Vol.38Issue(1)：237-247,11.DOI:10.3969/j.issn.1674-8425(z).2024.01.026
基于Pareto控制的多目标PSO算法在铣削参数优化中的应用
Application of multi-objective PSO algorithm based on Pareto control in milling parameter optimization
摘要
Abstract
Process parameters are key factors affecting the quality and efficiency of part processing,and optimizing and adjusting process parameters is the most effective way to improve the processing technology.In this paper,a multi-objective cutting parameter optimization method based on application examples is proposed for the optimization of milling processing parameters.First,a unified mathematical model for multi-objective optimization of cutting process parameters is built,with material removal rate,cutting force,and tool life as objective functions.Second,the objective functions are combined by employing cutting data.A mathematical model of the problem is built,and applicable solutions are investigated to obtain the optimal one.The effectiveness of parameter optimization is verified through experiments.The proposed method may provide some references for the selection of machining parameters.关键词
铣削/参数优化/刀具寿命/Pareto控制的粒子群优化Key words
milling/parameter optimization/tool life/Pareto dominated particle swarm optimization分类
机械制造引用本文复制引用
王奇,陈曦,刘海妹,赵彻,徐波..基于Pareto控制的多目标PSO算法在铣削参数优化中的应用[J].重庆理工大学学报,2024,38(1):237-247,11.基金项目
国家自然科学基金项目(52305446) （52305446）
常州市基础研究计划(CJ20235067) （CJ20235067）
江苏省高等学校基础科学研究面上项目(22KJB460014) （22KJB460014）
航空发动机高性能制造工业与信息化部重点实验室(西北工业大学)开放课题(HPM-2022-01) （西北工业大学）
