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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/26973

    標題: Taguchi Optimization for Tool Wear Using Fuzzy Deduction
    作者: Lan, Tian-Syung
    Hsu, Kuei-Shu
    貢獻者: 應用空間資訊系
    關鍵字: computer numerical control
    Taguchi method
    fuzzy deduction optimization
    tool wear
    日期: 2011-09
    上傳時間: 2013-10-14 14:57:43 (UTC+8)
    出版者: Taylor & Francis
    摘要: In this paper, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) are considered to optimize the tool wear for CNC (computer numerical control) finish turning based on L 9(34) orthogonal array. Additionally, twenty- seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for tool wear are constructed. Considering thirty input and eighty output intervals, the defuzzification using center of gravity is moreover completed. Through the Taguchi experiment, the optimum fuzzy deduction parameters can then be received. The confirmation experiment for optimum deduction parameters is furthermore performed on an ECOCA-3807 CNC lathe. It is shown that the tool wear ratio from the fuzzy deduction optimization parameters is significantly advanced comparing to that from the benchmark. This paper not only proposes a parametric deduction optimization scheme using orthogonal array, but also contributes the satisfactory fuzzy approach to the tool wear for CNC turning with profound insight.
    關聯: Journal of Statistics & Management Systems , 14(5), pp.885-898
    Appears in Collections:[應用空間資訊系(所)] 期刊論文

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