冲裁模智能设计CBR系统中的零件识别技术  

Part recognition technology in CBR system of blanking die intelligence design

作　　者：丘宏扬[1] 刘辉[2] 

机构地区：[1]华南理工大学机械工程学院,广东广州510641 [2]广东外语外贸大学词典学研究中心,广东广州510420

出　　处：《锻压技术》2005年第3期76-79,共4页Forging & Stamping Technology

基　　金：广州市科技攻关项目(2004Z3D0101)

摘　　要：在冲裁模智能设计CBR系统的研究与开发过程中,零件的识别是难点之一,零件的识别也就是零件相似性匹配。从几何匹配的角度来看,零件外轮廓的相似性匹配是最重要的。本文针对冲裁件外轮廓的相似性匹配提出了一种两级相似性度量方法,该方法已经应用到冲裁模智能设计CBR系统中的图形匹配模块,实践证明,此法具有较好的识别质量和计算机处理效率。Recognition of parts is one of the difficulties in the process of research and development of CBR system of blanking die intelligence design. Part recognition means the parts' similarity matching. From the viewpoint of geometric matching, parts' outline similarity matching is the most important in the process. Aiming to resolve this problem, the author proposes a two-level measuring method. The method has been applied to graphics matching module in the CBR system and is proved a good one in the aspects of recognition as well as of computer processing efficiency.

关 键 词：CBR系统 智能设计 冲裁模 零件 识别技术 相似性匹配 开发过程 几何匹配 度量方法 匹配模块 处理效率 外轮廓 冲裁件 计算机 图形 

分 类 号：TG385.2[金属学及工艺—金属压力加工]