基于蚁群算法塑模孔群加工路径优化

Optimization of machining path of plastic mold hole group based on ant colony algorithm

  • 摘要: 孔群加工是塑料模具制造中的重要工艺。针对塑模型芯孔群加工问题,提出了一种基于蚁群算法的改进优化方法,通过正交试验优选初始化参数,利用改进后的蚁群算法对塑料模具型芯孔群加工进行路径优化,以解决大规模不规则孔群加工时,空行程过多,加工效率低等问题。与标准遗传算法和蚁群算法相比,孔群加工路径平均值分别降低了6.0%和2.4%。与传统分批加工路径相比缩短了50.1%。实际路径优化效率较好,提高了加工效率。

     

    Abstract: Hole group processing is an important process of plastic mold manufacturing. In this paper proposed an improved optimization method based on ant colony algorithm to solve the problem of core hole processing in plastic mold, the initial parameters were optimized by orthogonal test, and the improved ant colony algorithm is used to optimize the processing path of the plastic mold core hole group, so as to solve the problem of too much air travel and low processing efficiency in the large-scale irregular hole group processing. Compared with the standard genetic algorithm and ant colony algorithm, average hole group processing path was reduced by 6.0% and 2.4%. It is 50.1% shorter than the traditional batch processing path. The actual path optimization efficiency is better and the machining efficiency is improved.

     

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