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    题名: Combining Taguchi Method with Fuzzy Inference on Manufacturing Process Optimization for Fiber Manufacturing
    作者: Mei-Ling Huang, Yung-Hsiang Hung, and Wan-Chi Kuo
    贡献者: 圖書館
    关键词: Taguchi method
    Pre oriented yarn
    Multiple quality characteristics index
    日期: 2015
    上传时间: 2016-10-20 13:29:22 (UTC+8)
    摘要: Lack of natural textile resources, the present textile industry in Taiwan usually uses pre-oriented yarn (POY), kind
    of artificial fibers, to make yarns. The POY is wound from continuous spinning of esterification and superposition of plastic
    pure terephthalic acid (PTA) and ethylene glycol (EG). According to yarn assessment indicators, yarn breakage of POY is
    crucial. And the broken filament and toughness are the most two important indicators causing yarn breakage during quality
    measurement. This study applies Taguchi Method to jointly consolidate broken filament degradation rate and toughness
    elongation percentage to establish a proper orthogonal array. The experimental control factors includes knotting device type,
    winding tension (CN), oil rate (%), and knotting pressure (kg/cm2
    ), and a L18(21
    ×37
    ) orthogonal array is established. The key
    parameter design of control factors can be found by Taguchi experiment. The fuzzy inference is combined with Taguchi
    multiple quality characteristics to construct the process parameter module to effectively increase product yield.
    關聯: Fibers and Polymers 2015, Vol.16, No.12, 2670-2681
    显示于类别:[工業工程與管理系(所)] 【工業工程與管理系所】期刊論文

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