Recognition of isolated prismatic features from feature based models

The objective of this study is to develop a feature recognition algorithm to convert geometrical and topological data of a feature from Computer Aided Design (CAD) system to an identifiable manufacturing feature that can be used in Computer Aided Manufacturing (CAM) system. An algorithm was develope...

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Main Author: Yap, Gabriel Wei Phing
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.utm.my/id/eprint/12292/4/YapGabrielWeiMFKM2010ABS.pdf
http://eprints.utm.my/id/eprint/12292/
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spelling my.utm.122922017-09-20T06:50:47Z http://eprints.utm.my/id/eprint/12292/ Recognition of isolated prismatic features from feature based models Yap, Gabriel Wei Phing TJ Mechanical engineering and machinery The objective of this study is to develop a feature recognition algorithm to convert geometrical and topological data of a feature from Computer Aided Design (CAD) system to an identifiable manufacturing feature that can be used in Computer Aided Manufacturing (CAM) system. An algorithm was developed by using Visual Basic for Application (VBA) as the programming language and Application Programming Interface (API) as the interface to interact with the CAD program. The features to be recognized by this algorithm are isolated prismatic pocket namely square slot, square step, square notch and square open pocket. The algorithm was also able to recognize non-orthogonal features as well as the dimension of the blank workpiece needed to machine the design. The algorithm utilizes the connection of the vertices in a design to determine the type of machining feature on the design as well as the location of the feature in form of coordinates. The evaluation of the algorithm shows significant improvement in recognition time compared to pattern matching algorithm. 2010-11 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/12292/4/YapGabrielWeiMFKM2010ABS.pdf Yap, Gabriel Wei Phing (2010) Recognition of isolated prismatic features from feature based models. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering.
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
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Yap, Gabriel Wei Phing
Recognition of isolated prismatic features from feature based models
description The objective of this study is to develop a feature recognition algorithm to convert geometrical and topological data of a feature from Computer Aided Design (CAD) system to an identifiable manufacturing feature that can be used in Computer Aided Manufacturing (CAM) system. An algorithm was developed by using Visual Basic for Application (VBA) as the programming language and Application Programming Interface (API) as the interface to interact with the CAD program. The features to be recognized by this algorithm are isolated prismatic pocket namely square slot, square step, square notch and square open pocket. The algorithm was also able to recognize non-orthogonal features as well as the dimension of the blank workpiece needed to machine the design. The algorithm utilizes the connection of the vertices in a design to determine the type of machining feature on the design as well as the location of the feature in form of coordinates. The evaluation of the algorithm shows significant improvement in recognition time compared to pattern matching algorithm.
format Thesis
author Yap, Gabriel Wei Phing
author_facet Yap, Gabriel Wei Phing
author_sort Yap, Gabriel Wei Phing
title Recognition of isolated prismatic features from feature based models
title_short Recognition of isolated prismatic features from feature based models
title_full Recognition of isolated prismatic features from feature based models
title_fullStr Recognition of isolated prismatic features from feature based models
title_full_unstemmed Recognition of isolated prismatic features from feature based models
title_sort recognition of isolated prismatic features from feature based models
publishDate 2010
url http://eprints.utm.my/id/eprint/12292/4/YapGabrielWeiMFKM2010ABS.pdf
http://eprints.utm.my/id/eprint/12292/
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score 13.15806