碳排放约束下基于特征的刀具选配与切削参数集成优化

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.