射出成型模具的冷卻水道設計,一般都依賴設計人員的工作經驗以及試誤法的程序來設計冷卻水道。經由多次的測試雖能找出符合設計的需求,但對於精度高或形狀複雜性高的產品卻是無法保證。近年來,電腦輔助工程分析技術已被廣泛的應用於各種的領域之中,有助於提升改善複雜且高精度要求的設計。本研究的目的便是運用基因演算法作為最佳化的搜尋工具,並整合CAE模流分析軟體Moldflow搜尋射出成型模具冷卻水道最佳化之配置。本研究採用數個測試方程式驗證程式架構的正確性與執行效率,接著將本程式架構整合模流分析軟體Moldflow應用於冷卻水道位置之最佳化。從兩個設計案例之執行結果,證明本篇研究在射出成型模具的冷卻水道系統設計,能有效提供設計者選擇不同的冷卻水道配置,提高冷卻水道的設計效率,進而提升產品品質與降低成本耗費,增加經濟效益。
The cooling channels design for injection molding usually depends on the designer’s experiences or the process of trial-and-error. Even though the designer could find out the design fitting the requirements through several trials, it still cannot guarantee that the results are good enough specially for high precision component or complicated sharp product. In recently years, the computer-aided engineering (CAE) has been generally applied in product development for various fields. It contributes for enhancing design ability of complicated and high precision product. The purpose of this study is to find out the optimal arrangement of cooling channels of injection molding by integration of the genetic algorithms for optimization search and the Moldflow software for injection molding analysis. In order to verify the architecture and performance of optimization program using genetic algorithms (GA), several test functions are utilized to check the accuracy and execution efficiency of developed program. Then the developed GA program was integrated with Moldflow software in optimization of cooling channels location. From the results of two case studies, it was shown that the cooling channels design system implemented in this study could offer designer with different options in selection the arrangement of cooling channels for injection molding. The developed architecture can enhance the design efficiency of cooling channels, upgrade product quality, lower development cost and increase economic benefits.