Processing Parameter Optimization for Dyeing

碩士 === 國立臺灣科技大學 === 高分子工程系 === 92 === 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 d...

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Bibliographic Details
Main Authors: Hung Liang-Lung, 洪良龍
Other Authors: Kuo Chung-Feng
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/76051235992451738550
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Summary:碩士 === 國立臺灣科技大學 === 高分子工程系 === 92 === 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.