Feature recognition of prismatic parts for inspection planning | ||||
| The International Conference on Applied Mechanics and Mechanical Engineering | ||||
| Article 29, Volume 14, 14th International Conference on Applied Mechanics and Mechanical Engineering., May 2010, Page 1-10 PDF (306.21 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/amme.2010.37643 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hesham A. Hussien1; Amro M. Youssef1; Mohamed K. Shoukrey2 | ||||
| 1Egyptian Armed Forces. | ||||
| 2College of Engineering, GUC, Cairo, Egypt. | ||||
| Abstract | ||||
| Abstract: Automated feature recognition has recognized as the front end of fully automated computer aided process planning (CAPP) systems. Automated feature recognition is considered to be the link between computer aided design (CAD) and CAPP systems. Feature recognition converts the geometrical and topological data contained in CAD file into application orientated features for planning purposes. This work introduces an automated rule based feature recognition algorithm to extract prismatic features from a boundary representation (B-rep) solid model. The automatic feature recognition algorithm is developed using ACIS geometric kernel and C++ object oriented programming. The recognition system input is a B-rep solid model in sat format. The developed algorithm is a part of a complete computer aided inspection planning system. | ||||
| Keywords | ||||
| CAD; CAD/CAM; CAPP; Feature recognition and Feature extraction | ||||
|
Statistics Article View: 105 PDF Download: 196 |
||||
