基于特征主基面的相交特征识别
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摘要
为有效识别相交特征,提出一种新的基于特征主基面的相交特征识别算法。该算法首先对模型进行处理,抑制过渡特征,去除外轮廓面提取特征加工面,生成带扩展属性的加工面属性邻接图,并以特征面的面边关系属性为依据判断特征间的父子关系从而判定相交特征。通过特征基面的度的大小选定特征主基面并以凸边为痕迹添加虚链接,构建虚链辅助面,完成相交特征分离并对特征进行相似性判断,通过邻接矩阵与预定义特征库进行特征匹配从而完成相交特征识别。最后通过具有相交特征的模型验证算法的有效性。
In order to recognize the intersection feature effectively,a new feature recognition algorithm based on feature main base face was proposed. The model was processed,transition features was suppressed,outer contour was removed,feature processing surface was extracted,the extended attributed adjacent graph was generated,the face-edge relationship attribution between the feature surfaces was used to judge the parent-child relationships between the intersecting features. Through the size of the feature base degree,the features main base surface was selected and the convex edge were hints for adding virtual links,the virtual chain auxiliary surface was constructed,intersecting features were separated and the similarity of the features was judged. Through the adjacency matrix and the predefined feature library,feature matching was realized,so as to complete the intersection feature recognition. Finally,the algorithm was validated by a model with intersecting features.
In order to recognize the intersection feature effectively,a new feature recognition algorithm based on feature main base face was proposed. The model was processed,transition features was suppressed,outer contour was removed,feature processing surface was extracted,the extended attributed adjacent graph was generated,the face-edge relationship attribution between the feature surfaces was used to judge the parent-child relationships between the intersecting features. Through the size of the feature base degree,the features main base surface was selected and the convex edge were hints for adding virtual links,the virtual chain auxiliary surface was constructed,intersecting features were separated and the similarity of the features was judged. Through the adjacency matrix and the predefined feature library,feature matching was realized,so as to complete the intersection feature recognition. Finally,the algorithm was validated by a model with intersecting features.
引文
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[2]WANG Q,YU X.Ontology Based Automtic Feature Recognition Framework[J].Computers in Industry,2014,65(7):1041-1052.
[3]RAHMANI K,AREZOO B.Boundary Analysis and Geometric Completion for Recognition of Intersecting Machining Features[J].Computer-Aided Design,2006,38(8):845-856.
[4]RAHMANI K,AREZOO B.A Hybrid Hint-based and Graphbased Framework for Recognition of Interacting Milling Features[J].Computers in Industry,2007,58(4):304-312.
[5]BABIC B,NESIC N.A Review of Automated Feature Recognition with Rule-based Pattern Recognition[J].ComputerAided Design,2008,59(4):321-337.
[6]汤岑书,褚学宁.基于切削成形能力模型的加工特征识别方法[J].计算机辅助设计与图形学学报,2010,22(10):1655-1663.TANG C S,CHU X N.Machining Feature Recognition Based on Form-Shaping Capability Mode[J].Journal of Computer-Aided Design&Computer Graphics,2010,22(10):1655-1663.
[7]MAREFART M.KASHYAP R L.Geometric Reasoning for Recognition of Three-dimensional Object Features[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(10):949-965.
[8]VANDENBRANDE J H,REQUICHA A A G.Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Model[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1993,15(12):1269-1285.
[9]王军,冯刚,舒启林,等.面向相交特征的加工链自动生成方法[J].计算机集成制造系统,2013,19(11):2748-2756.WANG J,FENG G,SHU Q L,et al.Automatic Generation Method for Process Chain Oriented to Interacting Features[J].Computer Integrated Manufacturing System,2013,19(11):2748-2756.
[10]崔秀芬,高曙明,周广平.一种高效的过渡特征识别与抑制算法[J].计算机集成制造系统,2004,10(1):77-82.CUI X F,GAO S M,ZHOU G P.An Efficient Algorithm for Recognizing and Suppressing Blend Features[J].Computer Integrated Manufacturing System,2004,10(1):77-82.
[11]GAO S,SHAH J J.Automatic Recognition of Interacting Machining Features Based on Minimal Condition Subgraph[J].Computer-Aided Design,1998,30(9):727-739.
[12]黄瑞.面向数控工艺重用的三维CAD模型检索方法研究[D].西安:西北工业大学,2015.
[13]YOU C F,TASI Y L.3D Solid Model Retrieval for Engineering Reuse Based on Local Feature Correspondence[J].International Journal of Advanced Manufacturing Technology,2010,46(5/6/7/8):649-661.
[14]殷人昆,李广鑫,谢若阳,等.数据结构(用面向对象方法与C++描述)[M].北京:清华大学出版社,2001:262-263.