关键词: 柔性工艺规划, 碳排放, 转换次数, 白鲸优化算法

Abstract: Aiming at the low-carbon flexible process planning problem of CNC machining process,an optimization model aiming at the conversion times of machine tools,tools and clamping and carbon emissions in the machining process was established,and a solution method based on the improved beluga whale optimization algorithm was proposed. The algorithm enhances its global search ability by introducing mutation operations,and adopts a heuristic rule selection strategy oriented to processing resources combined with random generation in population initialization to improve the quality of the initial population and accelerates the convergence speed of the algorithm. Finally,taking the machining information of a part as a test example,the feasibility of the proposed model was verified,and compared with the other three algorithms. The experimental results show that the proposed algorithm can obtain a better solution and has a faster convergence speed.

Key words: flexible process planning, carbon emissions, number of conversions, beluga whale optimization algorithm