中国机械工程2012，Vol.23Issue(24)：2942-2946,5.DOI:10.3969/j.issn.1004-132X.2012.24.010
基于三维形状检索的电极成组分类算法研究与应用
Study on Classification Algorithm of Electrode Grouping Based on 3D Model Retrieval and Its Applications
摘要
Abstract
Regarding the problem of reusing the knowledge and experience about electrode NC programming, a resolution method of classification and retrieval of electrode was presented based on 3D model retrieval according to principles of group technology. The main idea was to construct an algorithm for recognizing the form features of 3D model of electrodes by calculating 3D polar radius surface matrix and to acquire a vector of form features, then to define similarity operator of Minkowski distance and to divide electrodes into different classifications automatically, finally to gain the standard templates of electrode NC processes. The adopted method has several advantages such as avoiding human errors and having a fast speed and gaining high quality of classification and accurate retrieval result.关键词
电极分类/三维形状检索/成组技术/数控编程Key words
electrode classification/3D model retrieval/group technology/CNC programming分类
机械制造引用本文复制引用
王华昌,李建军,李志刚..基于三维形状检索的电极成组分类算法研究与应用[J].中国机械工程,2012,23(24):2942-2946,5.基金项目
国家科技支撑计划资助项目(2012BAH34F04) （2012BAH34F04）
