The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Automatic feature extraction from conventional CAD model to support feature-based design approach for the sheet metal stamping industries
Author:	Thakar, Dipak P.
View Online:	njit-etd1994-131 (x, 110 pages ~ 4.3 MB pdf)
Department:	Manufacturing Engineering Division
Degree:	Master of Science
Program:	Manufacturing Systems Engineering
Document Type:	Thesis
Advisory Committee:	Levy, Nouri (Committee chair) Sodhi, R. S. (Committee member) Zhou, MengChu (Committee member)
Date:	1994-05
Keywords:	Metal stamping -- Automation CAD/CAM systems
Availability:	Unrestricted
Abstract:	Despite the continuing improvement in computer aided design (CAD) systems and improvements in computer aided manufacturing (CAM), the process planning activity has still not been completely integrated into the CAD/CAM cycle. Particularly in sheet metal stamping industries human interpretation of CAD data is required to extract the geometry and technological information of a component. As a result most CAD systems are used as advanced drafting and drawing management tools by designers. Thus the responsibility for interpreting the design data required for extracting the manufacturing part features still resides with the process planner. Which has increase possibilities of entering errors with design data. A need, therefore, exists to develop expert system for automatic features extraction from a CAD database. An application software was developed for automatic feature extraction from conventional CAD model database to impliment feature-based design approach for the sheet metal stamping industries.