Optimization of Injection Molding Process for Fracture Toughness Specimen in Fiber Reinforced Polycarbonate Composites Using Grey Relational Analysis

用灰色關聯法與C-MOLD分析短纖維強化聚碳酸酯複合材料破壞韌性試片於射出成型製程最佳化之研究

張士行(Shih-Hsing Chang)

《中華技術學院學報》 20期 (2000/03) Pp. 142-153

https://doi.org/10.7095/JCIT.200003.0142

摘要

我們以短纖維強化聚碳酸酯複合材料為材料，利用射出成型機加工成標準的磨耗試片。然而，眾所周知地：射出成型的加工條件會影響纖維排列的方向與厚度，而纖維排列的方向與厚度又往往會決定試片的破壞韌性特性。本文即是取不同比例的纖維，根據專家意見為評量參考，以剪力層的纖維排列厚度為品質特性的評量指標，求取射出成型的最佳製程條件，最後並以C-MOLD分析取得實驗數據，驗證剪力層纖維排列厚度結果。以往，在調整其相關射出參數時需要進行一連串試誤法，常需耗時且不易得到最佳的設計，採用灰色關聯分析法，可以在最少實驗次數下，推得最佳化的配置。

關鍵字

最佳化 ； 聚碳酸酯 ； 複合材料 ； 射出成型 ； 灰色關聯分析法

並列摘要

This paper presents a fast and effective methodology for optimization injection molding process parameters of short glass fiber reinforced polycarbonate composites. Various injection molding parameters, such as filling time, melt temperature, mold temperature and ram speed were considered. The methodology combines the use of GRA (Grey Relational Analysis) method and C-MOLD (CAE flow simulation software) which was used to simulate the injection molding process and to predict the fiber orientation. This method can replace the traditional approach ”change-one-parameter-at-a-time” which is very inefficient, costly, time consuming and almost impracticable to yield an optimum solution. Since our experimental specimen is a standard part for fracture toughness testing, it will be better when the fiber direction is parallel to the external load. From the C-MOLD and GRA, we have got the optimum process parameters to obtain the thickest core layer.

並列關鍵字

optimization ； polycarbonate ； composites ； injection molding ； Grey Relational Analysis ； CAE