整合Moldflow與GA於數位相框 射出成型澆道最佳化設計

Multi-objective Optimization of Runner Design for Plastic Digital Photo Frame Integrated with Moldflow and Genetic Algorithms

白欣宜(Hsin-yi PAI)

指導教授 ： 吳俊瑩

大同大學/工程學院/機械工程學系所/碩士(2009年)

摘要

塑膠射出成型是產業界常見的製造方法，通常模具的設計或射出成型製程的參數設定，都依賴設計者的經驗或試誤法，經由多次的測試找出符合需求的設計。但對於形狀複雜及高表面品質的要求時，往往會陷入兩難的取捨，無法適當決定。熔接線及翹曲就是棘手的問題。 本研究運用基因遺傳演算法作為全域性的搜尋工具，先以數個測試函數驗證遺傳演算法(GA)程式架構的正確性與執行效能，接著整合Moldflow軟體在塑膠模具分析的能力，搜尋數位相框最佳的澆道幾何參數設定，求解同時符合熔接線的生成位置、翹曲量及重量要求的做最佳解決方式。由研究結果顯示，以本研究的最佳化程式架構所求得之最佳澆道幾何參數設定除了能防止熔接線生成外，同時降低數位相框材料使用量及翹曲量，降低成本，提高品質及競爭力。

關鍵字

熔接線 ； 翹曲 ； 遺傳演算法 ； 最佳化 ； Moldflow

並列摘要

The injection molding is the mostly used manufacturing method for plastic products. Usually the mold design or processing parameters setup of plastic injection mold is heavily depending on designer's experience or trial-and-error procedure. Even the designer could meet the requirements through several trials, it still cannot guarantee success for the design with complex geometry or high precision requirement of surface. The designer always falls into the choice between conflicts. For example, the weld line and warpage are common thorny problem for designer.
The main purpose of this study is using genetic algorithms as global searching tool for optimization. Some test functions were used to verify the architecture and performance of the developed program. The analysis capability of injection mold of Moldflow was integrated with genetic algorithms for searching optimal parameter settings of runner design for plastic digital photo frame that the arrangement of weld line, minimum warpage and total weight were optimized. Form the results of this study, the optimal parameter setting for manufacturing process found by integration of Moldflow and developed genetic algorithm programs can successfully find the optimal arrangement of weld line, minimum warpage and weight simultaneously for digital photo frame. It can help the designer to reduce cost, improve products quality and competence.

並列關鍵字

weld line ； warpage ； genetic algorithms ； optimiza

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