Citation
Ismail, Napsiah and Abu Bakar, Nooh
(1997)
Recognition of Machined Features from Solid Database of
Prismatic Components.
Pertanika Journal of Science & Technology, 5 (2).
pp. 231-240.
ISSN 0128-7680
Abstract
The automation of process planning requires features to he recognized directly from a computer aided design (CAD) system. This paper presents a new
technique for recognition of machined features using point classification technique with a logic-based approach. Boundary r~presentation of solid modelling is used to model a prismatic component. The system is developed
entirely in the AutoCAD environment, and the AutoLISP language was used to build the recognition system as it has direct access to the database. Test results
are presented to demonstrate the capabilities of the feature recognition algorithm. This paper concentrates on depression and protrusion type machined
features.
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Additional Metadata
| Item Type: |
Article
|
| Publisher: |
Universiti Putra Malaysia Press |
| Keywords: |
computer aided design, machined features, feature recognition,
process planning, point classification |
| Depositing User: |
Nur Izzati Mohd Zaki
|
| Date Deposited: |
25 Nov 2009 07:48 |
| Last Modified: |
27 May 2013 07:07 |
| URI: |
http://psasir.upm.edu.my/id/eprint/3373 |
| Statistic Details: |
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