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:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/12292/4/YapGabrielWeiMFKM2010ABS.pdf
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spelling	my-utm-ep.122922017-09-20T06:50:47Z Recognition of isolated prismatic features from feature based models 2010-11 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 http://eprints.utm.my/id/eprint/12292/ http://eprints.utm.my/id/eprint/12292/4/YapGabrielWeiMFKM2010ABS.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering G. Little, D. Clark, J. Corney, and R. Tuttle. Delta-Volume Decomposition for Multi- Sided Components. Comput. Aided Des., 1998. 30(9): 695–705. Hyun Chan Lee, Won Chul Jhee, Hee-Sok Park. Generative CAPP Through Projective Feature Recognition. Computers & Industrial Engineering, 2007. 53: 241–246 J. H. Vandenbrande and A. A. G. Requicha. Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models, IEEE Trans. Pattern Anal. Machine Intell., 1993. 15: 1–17 J. R. Corney. Graph-Based Feature Recognition. Ph.D. Dissertation. Heriot-Watt Univ.;1993 Jamaludin Hj Mohd Taib. Feature Research: Review and Future Direction, Jurnal Mekanikal, 2002. 13: 1-10 Joshi S, Chang TC. Graph Based Heuristics for Recognition of Machine Features from a 3D Solid Model. Computer Aided Design, 1988. 20: 58-66 Jung Hyun Han, Aristides A. G. Requicha. Integration of Feature Based Design and Feature Recognition. Computer-Aided Design, 1997. 29(5): 393-403 Jung Hyun Han, Mike Pratt, William C. Regli. Manufacturing Feature Recognition from Solid Models: A Status Report. Transactions on Robotics and Automation, 2000. 16(6): 782-796 M. Marefat and R. L. Kashyap (1990). Geometric Reasoning for Recognition of 3-D Object Features. IEEE Trans. Pattern Anal. Machine Intell., 1990. 12(10): 949– 965 N. Sormaz, D. E. R. Clark, J. R. Corney, and J. R. Tuttle. A Feature Recognition Algorithm for NC-Machining, Proc. 5th IFIP Workshop, WG 5.2. 1996 Nasr, Emad Abouel. Computer-Based Design and Manufacturing: an Information Based Approach, New York, NY: Springer.2007 S. Meerana, A.H. Zulkifli. Recognition of Simple and Complex Interacting Non- Orthogonal Features, Pattern Recognition, 2002. 35: 2341 – 2353 S. N. Trika and R. L. Kashyap. Geometric Reasoning for Extraction of Manufacturing Features in Iso-Oriented Polyhedrons. IEEE Trans. Pattern Anal. Machine Intell., 1994. 16(11): 1087–1100 Yu Zheng. Recognition of Interacting Prismatic Feature from Feature Based Model. Master Thesis. Fakulti Mekanikal, Universiti Teknologi Malaysia, Skudai Johor:2010
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
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
qualification_level	Master's degree
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
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2010
url	http://eprints.utm.my/id/eprint/12292/4/YapGabrielWeiMFKM2010ABS.pdf
_version_	1747814916018929664

Recognition of isolated prismatic features from feature based models

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