摘要
论述了基于层析数据的面向反求工程的特征识别技术及实现方案。其特征识别过程分 2步进行 ,即层轮廓线特征识别和相邻层轮廓匹配。依据曲率及曲率的变化规律确定轮廓特征点和线段组成 ;引入轮廓编码技术、相邻轮廓变化域以及截面面积、形心、惯性矩等参数完成相邻轮廓的匹配。采用分段特征识别的方法构造特征体素 ,用CSG和B Rep混和建模方法构造三维CAD模型。
This paper investigated the feature recognition te ch nology in reverse engineering based on slicing data. The feature recognition pro cess consists of two major parts, namely, layer contour feature recognition and adjacent layer matching. Curvature and the features of its variation determine t he composition of point and line segment of contour feature. The contour code te chnology, adjacent contour variation domain, as well as the parameters of cross section square measure, center of form, and inertia moment determine adjacent la yer matching. The feature system can be built up by the technology of feature re cognition by segmentation. Three-dimensional CAD model can be built up by the m ixed physical modeling of CSG and B-Rep.
出处
《机械科学与技术》
CSCD
北大核心
2004年第10期1257-1260,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
西安交通大学自然科学基金项目资助
关键词
反求工程
层析数据
特征识别
曲率
匹配
Reverse engineering
Slicing data
Feature recognit ion
Curvature
Matching
