计算机集成制造系统 ›› 2013, Vol. 19 ›› Issue (06 ): 1216-1223.

• 产品创新开发技术 • 上一篇    下一篇

基于携因素聚类方法的被测件分类基规划

肖新华1,2,王太勇1,成兵1,李煜1,胡淼1   

  1. 1.天津大学机构理论与装备设计教育部重点实验室
    2.天津工业大学机械工程学院
  • 出版日期:2013-06-30 发布日期:2013-06-30
  • 基金资助:
    国家自然科学基金资助项目(50975193);国家863计划资助项目(2007AA042005);国家科技重大专项资助项目(2009ZX04014-101);教育部博士点基金资助项目(20100032110006);天津市科技支撑重点资助项目(12ZCZDGX01600)。

Classified base planning of tested parts based on factor-considered cluster method

  • Online:2013-06-30 Published:2013-06-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.50975193),the National High-Tech.R&D Program,China(No.2007AA042005),the National Science and Technology Major Project,China(No.2009ZX04014-101),the Research Fund for Doctoral Program of Higher Education,China(No.20100032110006),and the Tianjin Municipal Science and Technology Commission,China(No.12ZCZDGX01600).

摘要: 为解决零部件内腔气密性检测设备个性化设计周期长、设计质量不稳定、生产成本高等问题,分析了气密性检测原理及检测设备设计过程,阐述了基于被测件分类基的可适应设计方法。提出一种携因素聚类方法,该方法采用层次分析法确定影响因素权向量,通过设定被测件关于各影响因素的吻合度,得出了被测件对相似度的加权计算方法,给出了聚类准则。阐述了循序聚类的分类基规划过程,并研究了该方法的软件实现。实例表明,该方法可有效规划被测件分类基,为可适应基型设计提供支撑。

关键词: 气密检测, 被测件分类基, 携因素聚类, 层次分析法, 循序聚类, 可适应设计, 产品设计

Abstract: To solve the problem of long period,high production cost and unstable quality in gas tightness detecting equipments,the design processes of detecting principle and detecting equipment were analyzed,and the adaptable design method based on classified base was described.A factor-considered cluster method which could determine the weight vector of factors by Analytic Hierarchy Process (AHP) was put forward.Through setting the consistency degree of tested parts on each factor,the weighted algorithm for similarity was obtained,and the cluster norm was given.The process of iterative cluster algorithm was explained,and the software based on the method was developed.Cases showed that the proposed method was effective in planning the classified base,which could be used to support the adaptable product case design.

Key words: gas tightness detecting, classified base of tested parts, factor-considered cluster, analytic hierarchy process, iterative cluster, adaptable design, product design

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