Feature Recognition System for Rotational Features
This paper presents the development of a knowledge-based features recognition system for mechanical parts. The main aim of the research is to concentrate on recognition of rotational features, namely, blind hole, through hole and slanting hole to be used in automatic process planning system. The rul...
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| Format: | Article |
| Language: | en |
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Asian Network for Scientific Information
2013
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| Online Access: | http://eprints.utem.edu.my/id/eprint/6829/1/JAS_2013_cft-ni-sssr-vkk.pdf http://eprints.utem.edu.my/id/eprint/6829/ |
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| _version_ | 1832716206517256192 |
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| author | Tan, CheeFai Ismail, N. Ranjit, S.S.S. |
| author_facet | Tan, CheeFai Ismail, N. Ranjit, S.S.S. |
| author_sort | Tan, CheeFai |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents the development of a knowledge-based features recognition system for mechanical parts. The main aim of the research is to concentrate on recognition of rotational features, namely, blind hole, through hole and slanting hole to be used in automatic process planning system. The rule-based technique applied to recognise rotational features. The recognition criteria are based upon geometrical data from STandard for Exchange of Product data file (STEP) of computer-aided design (CAD) system. The system consists of several modules, namely, pre-processing module, inference engine module and user interface module. The developed system succeed the design activities in manufacturing industries. |
| format | Article |
| id | my.utem.eprints-6829 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2013 |
| publisher | Asian Network for Scientific Information |
| record_format | eprints |
| spelling | my.utem.eprints-68292022-02-09T13:19:45Z http://eprints.utem.edu.my/id/eprint/6829/ Feature Recognition System for Rotational Features Tan, CheeFai Ismail, N. Ranjit, S.S.S. TJ Mechanical engineering and machinery TS Manufactures This paper presents the development of a knowledge-based features recognition system for mechanical parts. The main aim of the research is to concentrate on recognition of rotational features, namely, blind hole, through hole and slanting hole to be used in automatic process planning system. The rule-based technique applied to recognise rotational features. The recognition criteria are based upon geometrical data from STandard for Exchange of Product data file (STEP) of computer-aided design (CAD) system. The system consists of several modules, namely, pre-processing module, inference engine module and user interface module. The developed system succeed the design activities in manufacturing industries. Asian Network for Scientific Information 2013 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/6829/1/JAS_2013_cft-ni-sssr-vkk.pdf Tan, CheeFai and Ismail, N. and Ranjit, S.S.S. (2013) Feature Recognition System for Rotational Features. Journal of Applied Sciences. ISSN 1812-5654 10.3923/jas.2013 |
| spellingShingle | TJ Mechanical engineering and machinery TS Manufactures Tan, CheeFai Ismail, N. Ranjit, S.S.S. Feature Recognition System for Rotational Features |
| title | Feature Recognition System for Rotational Features |
| title_full | Feature Recognition System for Rotational Features |
| title_fullStr | Feature Recognition System for Rotational Features |
| title_full_unstemmed | Feature Recognition System for Rotational Features |
| title_short | Feature Recognition System for Rotational Features |
| title_sort | feature recognition system for rotational features |
| topic | TJ Mechanical engineering and machinery TS Manufactures |
| url | http://eprints.utem.edu.my/id/eprint/6829/1/JAS_2013_cft-ni-sssr-vkk.pdf http://eprints.utem.edu.my/id/eprint/6829/ |
| url_provider | http://eprints.utem.edu.my/ |