Feature Recognition and Design Advisory System for Sheet Metal Components

نویسندگان

  • Mohammad Ali Farsi
  • Behrooz Arezoo
چکیده

The present paper explains a feature recognition module and design advisor system for sheet metal components. In this system features of sheet metal components are extracted automatically from 3-D model. These data are modeled based on object oriented. The proposed system will aid the designer right at the design stage with useful design and manufacturability recommendations that have been gathered through years of experience. The system has been implemented in solid works 2008 using visual basic.

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تاریخ انتشار 2009