本研究欲透過Moldex3D進行模流分析，並藉由解析所得到的分析結果，了解產品成型參數的調整對於產品狀態的各種影響，例如是否會造成產品的短射、縮水、過度飽壓或翹曲等不良狀態的發生。本研究也將依循理想充填時間與理想保壓時間的預測及定義，作為本實驗參數的基礎參數，研究最後所得的成型視窗及理想成型參數資料，可作為研究人員調機時的成形參數參考依據。期許藉由此研究方案改善工廠如面臨設備不足，或無人力支援可安排射出成形實驗驗證時的困難，又或者是新材料不易取，致使得存量不足以提供批量性驗證的狀態下，仍可實現工廠於實際量產前，協助定義出較為理想及穩健的成型參數。 本研究因為考量成型參數有數個控制因子，但為了以最少的分析次數，獲取適當的分析結果，本研究將透過田口實驗設計法，以實驗穩健的射出成型實驗程序，建立較為有效率的實驗方法。文中也將探討各研究因子的顯著性差異，作為工程成員決定調機參數優先順序的參考依據。本研究將選定產品翹曲變形量的變化，作為本研究的實驗組與對照組，作為模流分析正確性的判定依據。最後進一步藉由模流分析理論最佳化的模擬結果，可給予機台操作人員合理的射出成形預測趨勢，協助定義該機台最為合適的生產參數，來實現產品量化且品質一致的理念。 ;In order to rapidly research a suitable set of injection parameters for predicting the robust injection process, In this study, we use a software of Moldex3D to parse results by evaluation of simulation data, the injection speed and the gate seal time can be stablished and estimated. Robust design is an effective way to improve the quality of products in the filed of injection molding , we can control these noise factors to force variability to occur the results what we want. By identifying optimal control factor settings that make the process or product robust and predict the range of the molding window .Through this study , with a view to improving the problem of limited resource and it can make full use of resources and avoid unnecessary waste in factory. Considering the points for several process parameters as most important, and we are all looking to optimize results while minimizing time and resources in the factor. The objective of this study is using the procedure adopted in using Taguchi Method to deal with optimization problems in which a certain measure of robustness. In this study, we will not only explain a comparison between numerical simulation and experimental results, but also evaluate the usability of the process parameters optimization of the numerical simulation. The result shows that the injection speed and the gate seal time can be stablished and estimated by these two ways. The section of predicting the range of the molding window that shows the analysis results could be used for our operator to judge and check the process parameter prediction.
