面向模具加工路径优化的数学建模与进化算法研究

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中图分类号：TG76 文献标志码：A

文章编号：1001-4934（2025）05-0120-08

Abstract：This article focuses on the optimization of die machining path，aiming at improving machining efficiency， reducing cost and improving machining accuracy. With the help of indepth research，the method of combining the construction of mathematical model with the design of evolutionary algorithm is adopted. In the process of mathematical modeling，the objective function is set by considering the processing time，cost and accuracy，and the constraint conditions are determined according to the machine tool performance， tool parameters and die geometry. In the design of evolutionary algorithm，based on genetic algorithm and combining the idea of particle swarm optimization，the coding mode， fitness function and genetic operation are improved. Experimental verification selects three molds with different complexity，and compares the heuristic rule-based algorithm with the standard genetic algorithm. The results show that the algorithm in this article has obvious advantages in processing time，cost and accuracy. For example，in the processing of mold A，the time is reduced from 50min （heuristic algorithm）and 42min （standard genetic algorithm） to 35 min，the cost is reduced from 380 yuan and 32O yuan to 25O yuan，and the dimensional error is reduced from 0 . 12mm and 0. 08mm to 0. 05mm respectively. It is proved that the proposed method can effectively optimize the die processng path and provide an efficient scheme for actual production.

Key words： mold machining path； mathematical modeling；evolutionary algorithm； path optimization；machining efficiency

0 引言

模具作为工业生产的基础工艺装备，在汽车、电子、航空航天等众多制造业领域发挥着举足轻重的作用1。（剩余9285字）