臺灣博碩士論文加值系統

本研究以田口方法、迴歸分析法以及DFP演算法建立有別於傳統試誤法或單純田口方法之最佳製程參數設計方式。首先本研究利用田口直交表實驗安排與S/N比顯著參數判定法則，找出射出製程的初步最佳化參數設計，接著藉由田口實驗數據進行迴歸分析以建立出控制因子與產品品質特性(重量)之迴歸預測模式，最後運用DFP演算法配合產品品質特性(重量)之目標值，以得出最終最佳化製程參數設計。由初步與最終最佳化製程參數設計的比較分析可知，本研究所提的新程序方法確實可讓製造管理者於單一品質特性考量下，以最效益方式完成最佳化製程參數設計，進而提昇產品品質與成本之競爭優勢。

摘 要 i
誌　謝 ii
目 錄 iii
圖目錄 v
表目錄 vi
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究架構與流程 2
第二章 文獻探討 5
2.1 射出成形 5
2.1.1 塑膠射出成形簡介 5
2.1.2 射出成形基本原理與流程 9
2.1.3 射出成形特性與生產變異 12
2.1.4 射出成形相關文獻 14
2.2 田口方法（TAGUCHI METHOD） 15
2.2.1 田口方法理論 15
2.2.2 田口方法文獻探討 22
2.3 數值分析法 23
2.3.1 Davidon-Fletcher-Powell（DFP）法 23
2.3.2 數值分析法相關文獻 25
2.4 製程能力指標 26
第三章 研究方法 30
3.1 田口實驗設計 30
3.1.1 參數設計 30
3.1.2 直交表選用 31
3.1.3 信號雜音比選用 32
3.2 品質特徵規格 33
3.3 實驗設備 33
3.4 迴歸分析 36
3.5 DFP演算法 36
第四章 研究結果 37
4.1 初步參數設計最佳化 37
4.1.1 小結 39
4.2 迴歸預測模型 39
4.3 DAVIDON-FLETCHER-POWELL（DFP）分析 41
4.4 確認實驗結果 42
4.4.1 單一樣本t檢定 43
4.4.2 製程能力分析 44
第五章 結論與未來研究建議 46
5.1 結論 46
5.2 未來研究建議 47
參考文獻 48
附錄A 52
附錄B 53

1.洪瑞庭(2000)，「塑膠加工技術與工程」，高立圖書有限公司。
2.洪宗仁(2002)，「應用柔性演算法於吹塑成形件之製程與設計最佳化」，台灣科技大學機械工程系碩士論文。
3.范樂陽(1987)，「塑膠加工實務」，高立圖書有限公司。
4.張榮語(1995)，「射出成形模具設計:模具設計」，高立圖書有限公司。
5.張旭華(1999)，「運用柔性演算法求解最佳參數設計」，交通大學工業工程與管理系碩士論文。
6.陳璟忠(2000)，「射出成形機安全性能探討」，中興大學機械工程學系碩士論文。
7.陳相弦(2000)，「使用柔性演算法於穩健最佳化設計」，台灣科技大學機械工程系碩士論文。
8.黃臣鴻(2003)，「PC/ABS 合膠機械性質之射出成形條件最佳化」，中央大學機械工程研究所博士論文。
9.財團法人塑膠工業技術發展中心，http://w3.pidc.org.tw/rd/default.aspx。
10.塑膠e學院網站(2002)，「射出加工系列-射出機原理與結構」，http://psdn.pidc.org.tw/。
11.傅和彥、黃士滔(2001)，「品質管理」，前程企業圖書有限公司。
12.Arora, J. S.(1989), Introduction to Optimum Design, McGraw-Hill.
13.Chiang, K. Ta. and Chang, F. P. (2006), “Application of grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell feature”, International Communications in Heat and Mass Transfer, Vol. 33, Iss. 1, pp. 94-101.
14.Covas, J. A., A. G.. Cunha and Oliveira, P.(1999), “An optimization Approach to Practical Problem in Plasticating Single Screw Extrusion”, Polymer Engineering and Science,Vol. 39, lss. 3, pp.443-454.
15.Chen, F. C. and Tzeng, Y. F.(2004), “Optimization of the volumetric accuracy of high-speed computer numerical control milling with dynamic quality characteristics”, Proceedings of the Institution of Mechanical Engineers, Vol. 218, Iss. 12, pp. 1741-1755.
16.Chou, C. Y., Chen, C. H., Yang, C. C., Wu, C. C.(2005), “Application of bivariate parameter design to the optimization of the operating conditions of a turning process”, International Journal of Production Research, Vol. 43, Iss. 24, pp. 5229-5235.
17.Davis, C. C. and Husdonm, J. C.(1991), “Proceedings of SPE Annual Technical Conference, Vol. 49, pp. 474.
18.Huang, M. C. and Tai, C. C.(2001), “The effective factors in the warpage problem of an injection-molded part with a thin shell feature”, Journal of Materials Processing Technology, Vol. 110, Iss. 1, pp.1-9.
19.Karmal, M. R., Varela, A. E. and Patterson, W. I.(1996), “Control of Part Weight in Injection Molding of Amorphous Thermoplastics”, Polymer Engineering and Science, Vol. 39,No.5,pp.940-952.
20.Keehae, K., Isayev, A. I., Kim, K. H. and Sweden, C. V.(2006), ”Theoretical and Experimental Studies of Anisotropic Shrinkage in Injection Moldings of Semicrystalline Polymers”, Polymer Engineering and Science, Vol. 46, Iss. 6; pp.712 -729.
21.Kurtaran, H., Ozcelik, B. and Erzurumlu, T.(2005), “Warpage optimization of a bus ceiling lamp base using neural network model and genetic algorithm”, Journal of Materials Processing Tech, Vol. 169, Iss. 2, pp. 314-319.
22.Liao, S. J., Chang, D. Y., Chen, H. J. and Tsou, L. S.(2004), “Optimal Process Conditions of Shrinkage and Warpage of Thin-Wall Parts”, Polymer Engineering and Science, Vol. 44, Iss. 5, pp.917-929.
23.Liu, J. L.(2006), “Novel Taguchi-Simulated Annealing Method Applied to Airfoil and Wing Planform Optimization”, Journal of Aircraft, Vol. 43, Iss. 1, pp. 102-112.
24.Mathur, R., Advani, S. G. and Fink, B. K.(1998), “Optimization of Gate and Vent Locations for Resin Infusion Processes Using Genetic Algorithms”, Proceedings of the American Control Conference Philadelphia, Pennsylvania, pp. 2176-2180
25.Muzammil, M., Singh, P. P. and Faisal, T.(2003), “Optimization of gear blank casting process by using Taguchi's Robust Design technique”, Quality Engineering, Vol. 15, Iss. 3, pp. 351-362.
26.Mok, S. L. and Kwong, C. K.(2002), “Application of artificial neural network and fuzzy logic in a case-based system for initial process parameter setting of injection molding”, Journal of Intelligent Manufacturing, Vol. 13, Iss. 3, pp. 165-176.
27.Phadke, M. S.(1989), “Quality Engineering Using Robust Design, Prentice-Hall.
28.Shang, J. S., Li, S. and Tadikamalla, P.(2004), “Operational design of a supply chain system using the Taguchi method, response surface methodology, simulation, and optimization” International Journal of Production Research, Vol. 42, Iss. 18, pp. 3823-3833.
29.Sanschagrin, B.(1983), “Process Control of Injection Molding”, Polymer Engineering and Science, Vol. 23, No. 8, pp.431-438.
30.Sillo, F. Z.(2005), “ Fuzzy logic optimization of injection molding of liquid silicone rubber”, University of Massachusetts Lowell.
31.Taguchi, G.., Chowdhury, S. and Wu, Y.(2004), “Taguchi’s Quality Enginneering Handbook”, John Wiley and Sons.
32.Wu, C. H. and Liang, W. J.(2005), “Effects of Geometry and Injection-Molding Parameters on Weld-Line Strength”, Polymer Engineering and Science, Vol. 45, No. 7, pp. 1021-1031
33.Wang, N. and Chen, L. W.(2005), “A Divide-and-Conquer Parallel Computing Scheme for the Optimization Analysis of Tribological Systems”, Tribology & Lubrication Technology, Vol. 61, Iss. 1, pp. 38-47.
34.Yang, Y. and Furong, G.(2006), “Injection molding product weight：Online prediction control based on a nonlinear principal component regression model”, Polymer Engineering and Science, Vol.46, No.4, pp.540-548.
35.Zhao, C. and Gao, F.(1999), “Melt Temperature Profile Prediction for Thermoplastic Injection Molding”, Polymer Engineering and Science, Vol.39, No.9, pp.1787-1801.