计算机与数字工程2023，Vol.51Issue(10)：2452-2456,5.DOI:10.3969/j.issn.1672-9722.2023.10.043
基于特征分离的飞机结构件特征识别技术研究
Research on Feature Recognition Technology of Aircraft Structural Parts Based on Process Feature Separation
摘要
Abstract
In order to effectively identify and separate the process features of aircraft structural parts,this paper defines the process features of aircraft structural parts into two types,processing features and auxiliary features,by defining the processing fea-tures of aircraft structural parts and using CAA secondary development technology.The machining features and auxiliary features are defined and separated by the concavity of the connecting arcs between the adjacent matrix surface nodes.The processing features are separated into point cloud data,and the DBSCAN algorithm is used to separate the processing features,and the single feature and intersection feature point cloud data are obtained.The point cloud data is input into the classification and segmentation network of DGCNN model to achieve the classification of single features and segmentation of intersecting features.The CATIA application plug-in is developed to verify the method,and the results show that the method can accurately identify complex features in structur-al parts.关键词
飞机结构件/CAA二次开发/特征分离/DBSCAN算法/DGCNN算法Key words
aircraft structure/CAA secondary development/characteristics of the separation/DBSCAN algorithm/DGCNN algorithm分类
信息技术与安全科学引用本文复制引用
刘振宇,曹珍珍,杨青平,茅健,张立强..基于特征分离的飞机结构件特征识别技术研究[J].计算机与数字工程,2023,51(10):2452-2456,5.基金项目
国家自然科学基金项目(编号:51775328)资助. （编号:51775328）
