R23D: An innovative solution for product data conversion from paper engineering drawings to 3D true-CAD models
- Knowledge Based Systems, Inc., College Station, TX (United States)
- Texas A & M Univ., College Station, TX (United States)
- Knowledge Based Systems, Inc., Austin, TX (United States)
The existing archives of legacy (mostly paper-based) engineering drawings are precious assets of product data in a manufacturing enterprise. However, for these assets to continue to pay dividends they must be converted to a form suitable for computer-aided applications such as CAD/CAE/CAM, simulation-based design, and virtual prototyping. Manually converting legacy engineering drawings into CAD-file format has become common practice to enable reuse of this legacy data and for maintaining it more cost effectively. However, directly reusing legacy drawings for many modem computer-aided applications is not feasible if the complete product data is not properly recovered (e.g., 3D true-CAD solid model). In this paper, a multiple-level drawing conversion methodology, R23D, is introduced to supply a complete solution to this problem. R23D, based upon semantic drawing interpretation modules, incorporates promising results in vectorization and 3D reconstruction to provide an integrated environment for drawing conversion. It is our conviction that the migration of legacy engineering drawings to 3D product data for CAD/CAE/CAM systems is possible only when the full 3D product model can be rapidly reconstructed through such intelligent and integrated drawing conversion support. This paper introduces the basic approaches, requirements, and major components of R23D.
- OSTI ID:
- 501744
- Report Number(s):
- CONF-961239--
- Country of Publication:
- United States
- Language:
- English
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