关键词: 刀具选配, 切削参数优化, 集成优化, K近邻算法, 多目标粒子群优化算法

Abstract: Reasonable selections of cutting tools and cutting parameters are one of the key factors to determine the carbon emissions and costs of parts.Aiming at the problem that the traditional researches ignored the complex relationships between tool selection and cutting parameters optimization,which resulted in local optimal solutions,the carbon emissions and costs were taken as the optimization objectives,and an integrated optimization model of tool selection and cutting parameters based on machining features was proposed by introducing the influence factors of tool wear on cutting parameters and carbon emissions.To solve the model effectively,a bi-level hybrid algorithm based on K-nearest neighbor and multi-objective particle swarm optimization was designed,and the optimized cutting tool and cutting parameters were obtained.The correctness and validity of the proposed method were verified by an actual manufacturing case.The proposed integrated optimization method could provide theoretical and methodological support for the rational selection of cutting tools and cutting parameters in low carbon manufacturing environment.

Key words: tool selection, cutting parameters optimization, integration optimization, K-nearest neighbor algorithm, multi-objective particle swarm optimization