English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62797/95867 (66%)
造访人次 : 3749766      在线人数 : 452
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45673


    题名: Optimal Mechanical Design with Robust Performance by Fuzzy Formulation Strategy
    作者: Shih, C. J.;Tseng, T. J.
    贡献者: 淡江大學機械與機電工程學系
    关键词: Robust Mechanical Design;Variability Optimization;Mean and Variance;Fuzzy Formulation;Engineering Design
    日期: 2001-03-01
    上传时间: 2010-03-26 19:43:40 (UTC+8)
    出版者: 淡江大學
    摘要: This paper presents an optimum design methodology for obtaining the highest robust performance using fuzzy multi-objective formulation strategy. The target performance and its variation, as functions of normally distributed variables with stochastic independence, are simultaneously minimized in this design process. A functional representation of the variability of the performance and the computational algorithm of the robust design process are presented in the paper. Two categories of design problems are examined: (1) the robust design with expected target of minimal variation. (2) The robust design with optimized target of minimal variation. The strength-based reliability behaves as the design objective that was merged in the formulation to extend the application of the proposed method. Three mechanical design examples further illustrate the presented integrated design methodology and successfully show its advantage.
    關聯: 淡江理工學刊=Tamkang journal of science and engineering 4(1), pp.71-79
    DOI: 10.6180/jase.2001.4.1.07
    显示于类别:[機械與機電工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    0KbUnknown265检视/开启
    1560-6686_4-1-7.pdf202KbAdobe PDF302检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈