臺灣博碩士論文加值系統

基於人類對於服飾質料著色之要求，使得染色加工技術日新月異。將織物施以染色加工前，須先決定好染色加工製程參數的組合，緣於織物染後之結果完全取決於加工參數的組合。本論文中選用被染物為純棉及棉混萊克拉，染料為反應性染料，染色方法為一浴二段式浸染法，而品質特性為胚布之色力度值，旨在找出染色加工製程參數的最佳組合，以達成顧客要求之胚布顏色。文中採用田口式實驗設計法做參數設計，針對會影響染色結果之機台工作溫度、染色時間、升溫速率、染液濃度、助劑種類及濃度、酸鹼值、浴比值，作為實驗的控制因子，並選用直交表進行實驗，同時配合變異數分析來決定最佳製程條件、顯著因子及百分比貢獻率。實驗中，以胚布色力度值望小特性作為目標特性，再以確認實驗之計算來驗證實驗的再現性。此外，透過田口實驗計畫法利用最佳條件所染出胚布之色力度值也更接近目標值。最後，利用影響染色結果之顯著因子來建構田口結合類神經網路的預測系統，以預測胚布之色力度值。

Due to human requests for the coloration of clothing materials, it leads the dyeing processing technology to be getting promoted day after day. Before the dyeing process, it is necessary that the combination of the processing parameters for the fabrics must be determined in advance. The reason is that the dyeing effects result from their parameters. In this paper, we select pure cotton and cotton mixed Lycra as the dyed fabrics, dyestuffs as the reactive dye, and the dyeing method is one-bath-two-section impregnation as well as the quality characteristic are K/S values of the fabrics. Our purpose is to find the optimum combination of processing parameters to achieve the customers’ demands. Taguchi experimental design method has been proposed in the research. In view of the dyeing results, the parameters including machine operating temperature, dyeing time, calefaction speed, dye liquor concentration, auxiliary type and concentration, pH. value, and bath-ratio value, are regarded as the control factors. The orthogonal array are employed to determine the optimum conditions, significant factors, and percent contribution together with the ANOVA approach. In the experiment, K/S values of fabrics are chosen to be the smaller-the-better target characteristic, and the confirmation experiments are performed and verified the reproducibility of the experimentation. In addition, the K/S values of dyed fabrics in optimum condition are much closer to the target values. In conclusion, the significant factors influencing the dyeing results are used to construct the prediction system of back-propagation neural network combined with Taguchi method.

摘要 I
Abstract II
誌謝 III
目錄 IV
圖索引 VII
表索引 IX
第1章 緒論 1
1.1 研究動機與目的 1
1.2 文獻回顧 2
1.3 研究步驟 4
1.4 論文架構 5
第2章 染色理論 7
2.1 染色現象 7
2.2 染色擴散過程 7
2.3 染色速度 10
2.4 影響反應染料染色之因素 11
2.5 色力度值測色理論 13
2.6 還原洗處理 15
第3章 田口式品質工程 16
3.1 田口式品質工程概述 16
3.2 直交表 17
3.3 參數設計 19
3.4 品質特性種類 19
3.5 控制因子主效果分析 21
3.6 變異數分析 22
3.7 確認實驗 25
第4章 類神經網路 27
4.1 類神經網路概述 27
4.2 類神經網路基本架構 29
4.3 類神經網路分類 32
4.4 倒傳遞類神經網路 34
4.4.1 倒傳遞類神經網路架構 34
4.4.2 倒傳遞類神經網路運算 35
第5章 實驗結果與討論 39
5.1 實驗規劃 39
5.1.1 實驗材料 39
5.1.2 實驗儀器 40
5.1.3 實驗流程 41
5.2 實驗方法 43
5.2.1 田口式實驗設計 43
5.2.2 田口結合倒傳遞類神經網路預測 53
第6章 結論 64
參考文獻 67
作者簡介 70

[1] 謝光裕, “染色技術人員所需要的染料化學（二）”, 染化雜誌, 第225期, June, p 83 (2003).
[2] 謝光裕, “染色技術人員所需要的染料化學（三）”, 染化雜誌, 第229期, Oct, p 78-90 (2003).
[3] Huang, K.S.; Yen, M.S., “Pregrafting influences on the dyeing properties of cotton fabrics”, American Dyestuff Reporter, v 86, n 4, Apr, 4p (1997).
[4] Imada K.; Harada, N. et al., “Recent developments in optimizing reactive dyeing of cotton”, Textile Chemist and Colorist, v 24, n 9, Sep, p 83-87 (1992).
[5] Guo, G.Y.; Chen, Y.L., “Improving the dyeability of cotton with reactive dyes”, American Dyestuff Reporter, v 83, n 9, Sept, 4p (1994).
[6] Mosimann, W., “Optimizing dyeing systems for wool”, American Dyestuff Reporter, v 80, n 3, Mar, 5p (1991).
[7] Wang, X.; Bide, M., “Factors affecting the levelness of dyeing in reused acid dyebaths for nylon”, Textile Chemist and Colorist, v 30, n 4, Apr, p 45-52 (1998).
[8] Ibrahim, N.A.; Youssef, M.A. et al., “Exhaust dyeing of polyester-based textiles using high-temperature-alkaline conditions”, Journal of Applied Polymer Science, v 89, n 13, Jul 15, p 3563-3573 (2003).
[9] Jahmeerbacus, M.I.; Kistamah, N. et al., “Fuzzy control of dyebath pH in exhaust dyeing”, Coloration Technology, v 120, n 2,, p 51-55 (2004).
[10] Chen, J. C. , “The study of dyeing condition for normal pressure dyeable polyester fiber”, Journal of the China Textile Institute, v 7, n 3, May, p 188-195 (1997).
[11] Hsu, M. J., “A study on continuous dyeing of microencapsulated vat dye via taguchi method to improve on uniformity”, Journal of the China Textile Institute, v 7, n 3, May, p 202-206 (1997).
[12] Hench, K. W.; Al-Ghanim, A. M., “Application of a neural network methodology to the analysis of a dyeing operation”, Intelligent Engineering Systems Through Artificial Neural Networks, v 5, p 873-878 (1995).
[13] Jasper, W. J.; Kovacs, E. T. et al., “Using neural networks to predict dye concentrations in multiple-dye mixtures”, Textile Research Journal, v 63, n 9, Sep, p 545-551 (1993).
[14] MacLeod, C.; Dror, G. et al., “Training artificial neural networks using Taguchi methods”, Artificial Intelligence Review, v 13, n 3, Jun, p 177-184 (1999).
[15] Khaw, John F. C.; Lim, B.S. et al., “Optimal design of neural networks using the Taguchi method”, Neurocomputing, v 7, n 3, Apr, p 225-245 (1995).
[16] 謝光裕, “染色加工業目前所面臨的問題以及將來的展望”, 染化雜誌, 第193期, Oct, p 37-45 (2000).
[17] 謝光裕, “染色技術人員所需要的染料化學（一）”, 染化雜誌, 第221期, Feb, p 66-74 (2003).
[18] 王榮樂, “如何選擇反應染料以預防纖維素系衣料品的變褪色”, 染化雜誌, 第184期, Jan, p 60-70 (2000).
[19] 陳家祥, “纖維素系纖維的染色合理化”, 染化雜誌, 第191期, Aug, p 50-51 (2000).
[20] 吳耀輝, “改善染整色差作法研析”, 絲織園地, 第32期, Apr, p 36-38 (2000).
[21] 林瑞如、李志雄, “系統化染色技術（三）棉織物染色專家系統”, 染化雜誌, 第220期, Jan, p 44-49 (2003).
[22] 彭正中、周玲玉編著, “合成染料”, 台灣中華書局印行 (1982).
[23] 邱永亮、魏盛德、劉泰庠編譯, “染色化學（合訂本）”, 徐氏基金會出版 (1977).
[24] 汪輝雄編著, “纖維染色學”, 大學圖書出版社, p 21-42 (1988).
[25] 劉熾章編著, “染色學”, 新學識文教出版中心 (1980).
[26] 張蘊如編著, “染整概論”, 高竹彩色印刷有限公司 (1988).
[27] 鍾清章編著, “田口式品質工程導論”, 中華民國品質協會發行 (2003).
[28] 蘇朝墩編著, “品質工程”, 中華民國品質學會 (2002).
[29] Sarin, S., “Teaching Taguchi''s approach to parameter design”, Quality Progress, v 30, n 5, May, p 102-107 (1997).
[30] Glen, S. P. Taugchi methods：A Hands-on Approach to Quality Engineer, Addison-Wesley, p 113-337 (1993).
[31] Keith, B., “Taguchi design of experiments for problem solving”, Annual Forum Proceedings - American Helicopter Society, v 1, May, p 755-760 (1991).
[32] Ryan, T. P., “Taguchi’s Approach to Experimental Design：Some Conerns ”, Quality Progress, Mar, p 34-36 (1988).
[33] 呂金河編著, “變異數分析”, 三民書局印行 (1993).
[34] 林惠玲、陳正倉編著, “統計學方法與應用”, 雙葉書廊有限公司, p 141-158 (2001).
[35] 葉怡成編著, “應用類神經網路”, 儒林圖書 (1997).
[36] 葉怡成編著, “類神經網路模式應用與實作”, 儒林圖書 (2003).
[37] 羅華強編著, “類神經網路－MATLAB的應用”, 清蔚科技 (2001).