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논문 기본 정보

자료유형
학술저널
저자정보
Kuo, Chung-Feng Jeffrey (Department of Polymer Engineering, National Taiwan University of Science and Technology) Su, Te-Li (Department of Polymer Engineering, National Taiwan University of Science and Technology) Tsai, Cheng-Ping (Department of Polymer Engineering, National Taiwan University of Science and Technology)
저널정보
한국섬유공학회 Fibers and Polymers Fibers and polymers 제8권 제6호
발행연도
2007.1
수록면
654 - 664 (11page)

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This study is intended for finding out the optimal processing parameters for needle punching nonwoven fabrics in order to work out its maximal strength. Taguchi method together with grey relational analysis is employed to resolve the problem as regards multiple-quality optimization, and further discover the optimal combination of processing parameters for needle punching nonwoven fabrics. Firstly, orthogonal array $L_{18}(2^1{\times}3^7)$ is used to deal with the processing parameters that may exert influence over the manufacturing of needle punching nonwoven fabrics. Then grey relational analysis is applied to resolve the deficiency of Taguchi method that focus on single quality characteristic. Next, the response table of grey relational analysis is used to obtain the optimal combination of processing parameters for multiple quality characteristics. In the current experiment quality characteristic refers to the tensile strength and tear strength of the nonwoven fabrics. Additionally, signal-to-noise ratio (SN ratio) calculation and analysis of variance (ANOVA) can be adopted to explore the experimental results. Through ANOVA, the significant factors that exert comparatively significant influence over the quality characteristic of the needle punching nonwoven fabrics, that is, the control factors are determined so that the quality characteristic of the needle punching nonwoven fabrics can be effectively controlled. Finally, confirmation experiment is conducted within 95 % confidence interval to verify the experimental reliability and reproducibility.

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