Automatic Features Recognition for Symmetrical Shapes | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 30, Issue 12, July 2012, Pages 2027-2043 PDF (306.39 K) | ||
| DOI: 10.30684/etj.2012.57244 | ||
| Authors | ||
| Amjad Barzan Abdulghafour; Mithal Ahmed Al-Bassam | ||
| Abstract | ||
| The future of computer-aided design (CAD) and computer-aided manufacturing (CAM) depends on the ability of their two processes to communicate with each other and with intermediate manufacturing database. Therefore, the development of a successful approach to the integration of CAD and CAM will require solution to several fundamental problems in planning and geometric reasoning. The first problem is the interface between CAD and CAM, that automatic feature recognition is an indispensable technique to solve this problem. We address this problem by developing an algorithm, which is considered an effective approach to extraction and of hybrid manufacturing features of symmetrical parts. The developed algorithm is based on the syntactic pattern primitive concept supported by production rule technique. This approach is considered a powerful tool applied to feature recognition field for symmetrical parts. | ||
| Keywords | ||
| feature extraction; Automatic Feature Recognition; Process Planning; Syntactic pattern Primitive; CAD | ||
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