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Attribute based feature recognition for machining features

Automated feature recognition is considered a critical component for integration of CAD/CAPP/CAM. The automation of process planning requires the implementation of a feature recognition procedure, so that decisions relating to steps of process planning activities can be made. Various methodologies h...

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Main Authors: Abu, Risal, Md. Tap, Masine
Format: Article
Language:English
English
Published: Penerbit UTM Press 2007
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/5044/2/MasineMdTap2007_AttributeBasedFeatureRecognitionforMachining.pdf
http://eprints.utm.my/id/eprint/5044/3/274
http://eprints.utm.my/id/eprint/5044/
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spelling my.utm.50442017-11-01T04:17:26Z http://eprints.utm.my/id/eprint/5044/ Attribute based feature recognition for machining features Abu, Risal Md. Tap, Masine TJ Mechanical engineering and machinery Automated feature recognition is considered a critical component for integration of CAD/CAPP/CAM. The automation of process planning requires the implementation of a feature recognition procedure, so that decisions relating to steps of process planning activities can be made. Various methodologies have been developed to automate feature recognition. This paper presents an approach to feature recognition using rule based on different characteristics specific to each feature such as the total number of faces, the total number of edges, the type of faces, and the attribute of feature i.e. protrusion/depression. The proposed method is implemented using Graphics Interactive Programming (GRIP) and Unigraphics solid modeler. The results show that the proposed technique is capable of recognizing features with a unique set of attributes. The rule is also simple, easy to understand and implement. Penerbit UTM Press 2007-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/5044/2/MasineMdTap2007_AttributeBasedFeatureRecognitionforMachining.pdf text/html en http://eprints.utm.my/id/eprint/5044/3/274 Abu, Risal and Md. Tap, Masine (2007) Attribute based feature recognition for machining features. Jurnal Teknologi , 46 (A). pp. 87-103. ISSN 2180-3722 DOI:10.11113/jt.v46.284
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Abu, Risal
Md. Tap, Masine
Attribute based feature recognition for machining features
description Automated feature recognition is considered a critical component for integration of CAD/CAPP/CAM. The automation of process planning requires the implementation of a feature recognition procedure, so that decisions relating to steps of process planning activities can be made. Various methodologies have been developed to automate feature recognition. This paper presents an approach to feature recognition using rule based on different characteristics specific to each feature such as the total number of faces, the total number of edges, the type of faces, and the attribute of feature i.e. protrusion/depression. The proposed method is implemented using Graphics Interactive Programming (GRIP) and Unigraphics solid modeler. The results show that the proposed technique is capable of recognizing features with a unique set of attributes. The rule is also simple, easy to understand and implement.
format Article
author Abu, Risal
Md. Tap, Masine
author_facet Abu, Risal
Md. Tap, Masine
author_sort Abu, Risal
title Attribute based feature recognition for machining features
title_short Attribute based feature recognition for machining features
title_full Attribute based feature recognition for machining features
title_fullStr Attribute based feature recognition for machining features
title_full_unstemmed Attribute based feature recognition for machining features
title_sort attribute based feature recognition for machining features
publisher Penerbit UTM Press
publishDate 2007
url http://eprints.utm.my/id/eprint/5044/2/MasineMdTap2007_AttributeBasedFeatureRecognitionforMachining.pdf
http://eprints.utm.my/id/eprint/5044/3/274
http://eprints.utm.my/id/eprint/5044/
_version_ 1643644220918988800
score 13.211869

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