Development of Chamfer Recognition Technology for CAD Model
碩士 === 國立中央大學 === 機械工程學系 === 105 === In finite element analysis, mesh generation is an indispensable operation. However, one of the problems encountered when converting Computer-Aided Design (CAD) models into meshes is that CAD models often feature a large number of faces, many of which are transiti...
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ndltd-TW-105NCU054890912019-05-16T00:08:09Z http://ndltd.ncl.edu.tw/handle/p8z3vp Development of Chamfer Recognition Technology for CAD Model CAD模型之倒角特徵辨識技術發展 Himawan Wibhisana 何馬維 碩士 國立中央大學 機械工程學系 105 In finite element analysis, mesh generation is an indispensable operation. However, one of the problems encountered when converting Computer-Aided Design (CAD) models into meshes is that CAD models often feature a large number of faces, many of which are transition faces. In the mesh generating process, poor meshes can easily be formed around the transition faces, including blend faces and chamfers. The mesh size near these entities is usually smaller han that of adjacent faces, resulting in poor analysis results. In some finite element analysis, it might be necessary to suppress such tiny transition faces. However, they should be recognized first. The purpose of this study is to develop an algorithm to recognize chamfers on a CAD model based on the understanding of a boundary representation (B-rep) model. It includes the following main operations: input B-rep model, identification of candidate chamfers, methods to classify candidate chamfers, and output chamfer data. Three types of chamfers can be recognized by the proposed method: plane chamfer, vertex blend chamfer and surface chamfer. Fifty CAD models are presented to demonstrate the feasibility of the proposed chamfer recognition algorithm. Jiing-Yih Lai 賴景義 2017 學位論文 ; thesis 82 en_US |
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碩士 === 國立中央大學 === 機械工程學系 === 105 === In finite element analysis, mesh generation is an indispensable operation. However, one of the problems encountered when converting Computer-Aided Design (CAD) models into meshes is that CAD models often feature a large number of faces, many of which are transition faces. In the mesh generating process, poor meshes can easily be formed around the transition faces, including blend faces and chamfers. The mesh size near these entities is usually smaller han that of adjacent faces, resulting in poor analysis results. In some finite element analysis, it might be necessary to suppress such tiny transition faces. However, they should be recognized first. The purpose of this study is to develop an algorithm to recognize chamfers on a CAD model based on the understanding of a boundary representation (B-rep) model. It includes the following main operations: input B-rep model, identification of candidate chamfers, methods to classify candidate chamfers, and output chamfer data. Three types of chamfers can be recognized by the proposed method: plane chamfer, vertex blend chamfer and surface chamfer. Fifty CAD models are presented to demonstrate the feasibility of the proposed chamfer recognition algorithm.
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author2 |
Jiing-Yih Lai |
author_facet |
Jiing-Yih Lai Himawan Wibhisana 何馬維 |
author |
Himawan Wibhisana 何馬維 |
spellingShingle |
Himawan Wibhisana 何馬維 Development of Chamfer Recognition Technology for CAD Model |
author_sort |
Himawan Wibhisana |
title |
Development of Chamfer Recognition Technology for CAD Model |
title_short |
Development of Chamfer Recognition Technology for CAD Model |
title_full |
Development of Chamfer Recognition Technology for CAD Model |
title_fullStr |
Development of Chamfer Recognition Technology for CAD Model |
title_full_unstemmed |
Development of Chamfer Recognition Technology for CAD Model |
title_sort |
development of chamfer recognition technology for cad model |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/p8z3vp |
work_keys_str_mv |
AT himawanwibhisana developmentofchamferrecognitiontechnologyforcadmodel AT hémǎwéi developmentofchamferrecognitiontechnologyforcadmodel AT himawanwibhisana cadmóxíngzhīdàojiǎotèzhēngbiànshíjìshùfāzhǎn AT hémǎwéi cadmóxíngzhīdàojiǎotèzhēngbiànshíjìshùfāzhǎn |
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1719160951406592000 |