基因遗传算法结合模流分析优化注塑模冷却水道设计

Optimizing Design of Cooling Water Channel for Injection Mould by Gene Genetic Algorithm and Mould-flow Analysis

注塑模冷却水道设计一般依靠工作经验或试模的方式,既无法保证正确率又增加成本耗费,本文以笔记本后壳注塑模为例,运用基因遗传算法结合模流分析技术为优化搜寻工具,进行冷却水道成型参数设计,研究发现该优化架构能便捷有效地提供主要设计方向,不仅能够获得恰当的冷却管道数量及空间位置,而且能够获取符合目标温度要求的模温分布,能够有效解决长期困扰设计者的模内冷却水道整体布局困难地问题,进而提高生产率,降低成本耗费、缩短模具设计周期.

Normally,design of cooling water channel for injection mould relys on working experience or mould test which not only cannot guarantee accuracy but increase cost. As example of injection mould for back shell of notebook,we apply gene genetic algorithm with mould-flow technology to seek tool for optimization,make forming parameter design of cooling water channel. The study shows that optimization framework can provide design direction effectively,it not only can get proper cooling pipe quantity and space location,but can get mold temperature distribution confirmed with target temperature,and can solve difficult problems of integral layout of in mold cooling water channel which bothered designer for a long time,and then improve production,decrease cost,shorten mould design period.