A Study of the Weaving conditions for Conductive Fabric by using Taguchi Approach and Neural Network Algorithm

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Title:	A Study of the Weaving conditions for Conductive Fabric by using Taguchi Approach and Neural Network Algorithm
Authors:	Hsieh, Chien-Teng Pan, Y. J.
Contributors:	紡工系
Keywords:	Weaving Condition Conductive Fabric Taguchi Method Neural Network
Date:	2016-01
Issue Date:	2017-06-27 13:26:06 (UTC+8)
Abstract:	In recent year, the demand of conductive fabric is growing up. The electrical properties in the textile have provided an additional value than traditional textile. Therefore, the control of electrical conductivity has become feasible for those applying into textile or functional clothe. In order to produce variety electrical levels correspond to the particular purpose of products, the relationship between production conditions and conductivity characteristics of conductive fabric is investigated. Due to increasing of efficiency and reducing of the variation in process, the Taguchi method was introduced to improve the accuracy of experiment through experiment design. Two characteristics of conductive fabric such as conductivity and frictional static voltage were set as object function. Therefore, the optimal production conditions refer to object electrical level was obtained. For more practical used in application, an artificial neural network was proposed in this paper to construct a simulation model for setting production conditions in advance. The objective of this paper is to help manufacturer to produce high quality conductive fabric at low cost.
Relation:	華岡紡織期刊； 23卷1期 (2016 / 01 / 01) ， P7 - 12
Appears in Collections:	[Department of Textile Engineering ] Journal of the Hwa Gang Textile

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