FEATURE RECOGNITION TECHNIQUE FOR MILLING OPERATION | ||
| The International Conference on Applied Mechanics and Mechanical Engineering | ||
| Article 67, Volume 16, 16th International Conference on Applied Mechanics and Mechanical Engineering., May 2014, Pages 1-20 PDF (790.82 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/amme.2014.35723 | ||
| Authors | ||
| S. E. Sarhan1; A. A. Afifi2; M. S. Abbas3 | ||
| 1Lecturer assistant, Dept. of Design and Production, German University, Cairo, Egypt. | ||
| 2Associate professor, Dept. of Design and Production, German University, Cairo, Egypt. | ||
| 3Professor, Dept. of Mechanical Engineering, Banha University, Cairo, Egypt. | ||
| Abstract | ||
| ABSTRACT This paper presents a methodology for implementing the feature recognition system for achieving the Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) integration goals. Feature-recognition technology is used for automating the extraction of data from CAD product models to minimize redundant user interaction with a product model. The feature-recognition process was developed using data extracted from DXF file (points, lines, arcs,….) or rule-based methods with wire-frame geometry extracted from an IGES neutral file format ( lines, axis, arcs,….). Use of wire-frame models simplifies product geometry and has the potential to support rapid manufacturing shape evaluation at the conceptual design stage. The developed feature recognition technique involves the reconstruction of the part design features, in the form of manufacturing features (11 manufacturing features). Output data are displayed to the user as design features, and manufacturing features with all required data technique for manufacturing. A case study is given to demonstrate, and verify the proposed algorithm. | ||
| Keywords | ||
| Feature Recognition; Computer aided part programming; CAPP; CIM | ||
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