• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2015, Vol. 51 ›› Issue (7): 136-143.doi: 10.3901/JME.2015.07.136

• 数字化设计与制造 • 上一篇    下一篇

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基于案例推理的夹具设计案例表示与检索

罗晨 王欣 苏春 吴泽   

  1. 东南大学机械工程学院
  • 出版日期:2015-04-05 发布日期:2015-04-05
  • 基金资助:
    国家自然科学基金(51105075,51405080)和中国博士后科学基金 (2014M561546) 资助项目

Case Representation and Retrieval under a Case-based Reasoning System for Fixture Design

LUO Chen, WANG Xin, SU Chun, WU Ze   

  1. School of Mechanical Engineering, Southeast University
  • Online:2015-04-05 Published:2015-04-05

摘要: 夹具具有夹持工件并精确定位的重要作用。由于夹具设计关联因素诸多,过程复杂,设计方案很大程度依赖于设计者经验,最近发展的基于案例推理的夹具设计方法可一定程度上缓解对个人经验的依赖性,但此类设计方法大多仅以工件的几何形状为案例表示和检索依据,影响推理系统的检索效率及准确度,其有效性和实用性也因此减弱。鉴于此,建立了一种夹具设计案例特征表示的新型检索机制,该模型不仅包含工件几何形状,还包含工件材料、加工工艺和其他功能要求等因素,采用统一建模语言(Unified modeling language, UML)面向对象的表示方式实现特征信息存储的结构化和模块化,采用几何形状和位置拓扑关系并行检索的算法,该算法主要通过搜索节点对应约束的最大相似连通子图以确定零件的几何特征相似度,并给出其他影响因素相关的相似度公式。具体实例说明该新型检索模型的有效性和实用性。

关键词: IPC聚类, TRIZ, 专利规避设计, 专利群

Abstract: Fixtures play a key role in accurately locating and clamping workpiece. Fixture design is a complex process involving many factors and traditionally the designer’s experience plays a big role. Recently case-based reasoning(CBR) based fixture design method becomes popular and it can ease personal experience dependence. However existing methods mainly use simple manufacturing parts’ geometric feature in case representation and retrieval and this leads to inaccuracy and inefficiency in their real application. In view of that, a new comprehensive retrieval model for fixture design case representation is proposed and it incorporates geometry, material, processing and functional features. The new model uses object-oriented unified modeling language(UML) case representation to enable information to be processed in a structural and modular way. A parallel retrieval algorithm, combining geometrical shape and its topological relationship, has been subsequently presented. The similarity of geometry feature of two parts is calculated by searching a maximal similar connected subgraph with node corresponding constraints through geometric topological graph, and a concrete similarity formula about other factors has also been given. Finally, a case study illustrates the efficiency of this method.

Key words: case-based reasoning, fixture case representation, fixture design, geometry matching, topological relation

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