Feature Based Associative Memory for Design Retrieval System

用于设计检索系统的基于特征的联想存储器

• 批准号: 9900224
• 负责人: C. Alec Chang
• 金额: $ 7.76万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2001-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9900224&HistoricalAwards=false
• 关键词: Feature; Based; Associative; Memory; Design

This grant provides funding for research on a feature-based associative memory for engineering design retrieval. Engineering designs are typically stored as computer-aided design (CAD) files. A database of such files may contain many thousands of designs. Searching the database for similar designs instead of identical designs poses a challenging problem. This research will seek a design description that represents the geometric shape of a design by a set of machining form features such as counter-hole, pocket or slot and by a set of crucial technological attributes that affect machining processes such as dimension, tolerance, surface roughness and finish and material. Searches may use a fuzzy logic techniques to retrieve similar designs. The research will include development and experimentation with algorithms to find similar relationships among individual form features, methods to embody technological attributes, approaches to incorporate the ranking weights for design attributes, possibilities to represent spatial relationship as a retrieval criterion, and processes to integrate fuzzy linguistic expressions and interval values in query inputs.If successful, this research will contribute to the conceptual design stage of industrial components. By enabling designers to locate similar CAD files, they can use these to "cut and paste" new designs together from existing designs, greatly reducing the effort needed to create CAD files for new components.

这项拨款为工程设计检索中基于特征的联想记忆的研究提供资金。工程设计通常以计算机辅助设计（CAD）文件的形式存储。此类文件的数据库可能包含数千种设计。在数据库中搜索相似的设计而不是相同的设计是一个具有挑战性的问题。本研究将寻求一种设计描述，通过一组加工形式特征（如反孔、口袋或槽）和一组影响加工过程的关键技术属性（如尺寸、公差、表面粗糙度、光洁度和材料）来代表设计的几何形状。搜索可以使用模糊逻辑技术检索相似的设计。研究将包括开发和实验算法，以发现各个形式特征之间的相似关系，体现技术属性的方法，结合设计属性的排名权重的方法，将空间关系表示为检索标准的可能性，以及在查询输入中集成模糊语言表达和间隔值的过程。如果成功，本研究将有助于工业部件的概念设计阶段。通过使设计人员能够定位相似的CAD文件，他们可以使用这些文件从现有设计中“剪切和粘贴”新设计，从而大大减少了为新组件创建CAD文件所需的工作量。