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Development of a Feature Based CAM System for Rotational Parts

Year 2006, Volume: 19 Issue: 1, 35 - 40, 24.03.2010

Abstract

Computer Aided Process Planning (CAPP) plays an  important role in the development of Computer Integrated Manufacturing systems (CIM) and provides a vital link  between Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM). Automatic extraction and recognition of part features directly from a CAD database also strengthen the link between CAD and CAPP. In this study, an automatic feature recognition and CNC code generation (AFR/ACCG) system  was developed for rotational parts. This system was prepared using Delphi 7 programming language. The data input to the system is done by DXF (Drawing Interchange Format) prepared in any CAD programme. CNC part programme of the work piece to be produced is generated automatically as to machining features in this system. Sample parts were machined by the generated tool paths and part geometries were obtained accurately. All of the internal and external machining features of complex parts such as grooving, threading and boring can be defined automatically using this system by the nine determined elements.

 

Keywords: CAD/CAM, CAPP, AFR, Automatic CNC code generation

References

  • Shah, J.J., Mantyla, M., Nau, D.S., “Advances in Feature Based Manufacturing”, Elsevier Science, Amsterdam, (1994).
  • Zhao, Y., Ridgway, K., Al-Ahmari, A.M.A., “Integration of CAD and a cutting tool selection system”, Computer & Industrial Engineering, 42: 17-34 (2002).
  • Tseng, Y. J., “A modular modeling approach by integrating feature recognition and feature-based design”, Computers in Industry, 39: 113-125 (1998).
  • Walters, J., “Tracing the path of feature recognition”, American Machinist, 146(3): 68-74 (2002).
  • Subrahmanyam, S., Wozny, M., “Overview of automatic feature recognition techniques for computer-aided process planning”, Computers in Industry, 26(1): 1-21 (1995).
  • Maendl, M., “Automatic feature recognition slashes CAM work”, Machine Design, 75(18): 104-106 (2003).
  • Liu, S.C., Gonzalez, M., Chen, J.G., “Development of an automatic part feature extraction and classification system taking CAD data as input”, Computer in Industry, 29(3): 137-150 (1996).
  • Shah, J.J., Mantyla, M., “Parametric and feature based CAD/CAM”, John Wiley & Sons, New York, 303- 520 (1995).
  • Meeran, S., Pratt, M.J., “Automated recognition from 2D drawings”, Computer Aided Design, 25: 7-17 (1993).
  • Srinivasakumar, S.M., Lin, L., “Rule-based automatic part feature extraction and recognition form CAD data”, Computers&Industrial Engineering, 22(1): 49-62 (1992).
  • Gao, S., Shah, J.J., “Automatic recognition of interacting machining features based on minimal condition subgraph”, Computer Aided Design, 30(9): 727-739 (1998).
  • Marefat, M., Kashyap, R.L., “Geometric reasoning for recognition of three-dimensional object Features”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(10): 949-965 (1990).
  • Meeran, S., Taib, J.M., Afzal, M.T., “Recognizing features from engineering drawings without using hidden lines: A framework to link feature recognition and inspection systems”, International Journal of Production Research, 41(3): 465-495 (2003).
  • Peters, T.J., “Encoding mechanical design Features for recognition via neural networks”, Research in Engineering Design, 4: 67-74 (1991).

Computer Aided Process Planning (CAPP) plays an important role in the development of Computer Integrated

Year 2006, Volume: 19 Issue: 1, 35 - 40, 24.03.2010

Abstract

References

  • Shah, J.J., Mantyla, M., Nau, D.S., “Advances in Feature Based Manufacturing”, Elsevier Science, Amsterdam, (1994).
  • Zhao, Y., Ridgway, K., Al-Ahmari, A.M.A., “Integration of CAD and a cutting tool selection system”, Computer & Industrial Engineering, 42: 17-34 (2002).
  • Tseng, Y. J., “A modular modeling approach by integrating feature recognition and feature-based design”, Computers in Industry, 39: 113-125 (1998).
  • Walters, J., “Tracing the path of feature recognition”, American Machinist, 146(3): 68-74 (2002).
  • Subrahmanyam, S., Wozny, M., “Overview of automatic feature recognition techniques for computer-aided process planning”, Computers in Industry, 26(1): 1-21 (1995).
  • Maendl, M., “Automatic feature recognition slashes CAM work”, Machine Design, 75(18): 104-106 (2003).
  • Liu, S.C., Gonzalez, M., Chen, J.G., “Development of an automatic part feature extraction and classification system taking CAD data as input”, Computer in Industry, 29(3): 137-150 (1996).
  • Shah, J.J., Mantyla, M., “Parametric and feature based CAD/CAM”, John Wiley & Sons, New York, 303- 520 (1995).
  • Meeran, S., Pratt, M.J., “Automated recognition from 2D drawings”, Computer Aided Design, 25: 7-17 (1993).
  • Srinivasakumar, S.M., Lin, L., “Rule-based automatic part feature extraction and recognition form CAD data”, Computers&Industrial Engineering, 22(1): 49-62 (1992).
  • Gao, S., Shah, J.J., “Automatic recognition of interacting machining features based on minimal condition subgraph”, Computer Aided Design, 30(9): 727-739 (1998).
  • Marefat, M., Kashyap, R.L., “Geometric reasoning for recognition of three-dimensional object Features”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(10): 949-965 (1990).
  • Meeran, S., Taib, J.M., Afzal, M.T., “Recognizing features from engineering drawings without using hidden lines: A framework to link feature recognition and inspection systems”, International Journal of Production Research, 41(3): 465-495 (2003).
  • Peters, T.J., “Encoding mechanical design Features for recognition via neural networks”, Research in Engineering Design, 4: 67-74 (1991).
There are 14 citations in total.

Details

Primary Language English
Journal Section Mechanical Engineering
Authors

Yakup Yıldız This is me

İhsan Korkut This is me

Ulvi Şeker This is me

Publication Date March 24, 2010
Published in Issue Year 2006 Volume: 19 Issue: 1

Cite

APA Yıldız, Y., Korkut, İ., & Şeker, U. (2010). Development of a Feature Based CAM System for Rotational Parts. Gazi University Journal of Science, 19(1), 35-40.
AMA Yıldız Y, Korkut İ, Şeker U. Development of a Feature Based CAM System for Rotational Parts. Gazi University Journal of Science. March 2010;19(1):35-40.
Chicago Yıldız, Yakup, İhsan Korkut, and Ulvi Şeker. “Development of a Feature Based CAM System for Rotational Parts”. Gazi University Journal of Science 19, no. 1 (March 2010): 35-40.
EndNote Yıldız Y, Korkut İ, Şeker U (March 1, 2010) Development of a Feature Based CAM System for Rotational Parts. Gazi University Journal of Science 19 1 35–40.
IEEE Y. Yıldız, İ. Korkut, and U. Şeker, “Development of a Feature Based CAM System for Rotational Parts”, Gazi University Journal of Science, vol. 19, no. 1, pp. 35–40, 2010.
ISNAD Yıldız, Yakup et al. “Development of a Feature Based CAM System for Rotational Parts”. Gazi University Journal of Science 19/1 (March 2010), 35-40.
JAMA Yıldız Y, Korkut İ, Şeker U. Development of a Feature Based CAM System for Rotational Parts. Gazi University Journal of Science. 2010;19:35–40.
MLA Yıldız, Yakup et al. “Development of a Feature Based CAM System for Rotational Parts”. Gazi University Journal of Science, vol. 19, no. 1, 2010, pp. 35-40.
Vancouver Yıldız Y, Korkut İ, Şeker U. Development of a Feature Based CAM System for Rotational Parts. Gazi University Journal of Science. 2010;19(1):35-40.