Skip to main content

Part of the book series: Intelligent Manufacturing Series ((IMS))

Abstract

Integration of CAD/CAM involves the use of a design description, design database model and applications while ensuring data consistency. The data types needed in a variety of applications may be different from the data type stored in a design database. In order to automate the CAD/CAM process, computer understanding of the meta-knowledge in the database or description and automatic data conversion to the next analysis stage are necessary (Woodwark, 1988).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • ACIS Kernel Manual No. Sapati Technologies, Boulder, Co. (1990).

    Google Scholar 

  • Ames, A. (1988) Automated generation of uniform group technology part codes from solid model data, in ASME-Computers in Engineering Conference, San Francisco.

    Google Scholar 

  • Ames, A. (1991) Production ready feature recognition based automatic group technology part coding, in ACM Symposium on Solid Modeling Foundations and CAD/CAM Applications, Austin, Texas.

    Google Scholar 

  • Ansaldi, S. (1985) An edge-face relational scheme for boundary representations. Computer Graphics Forum, 4, 319–32.

    Article  Google Scholar 

  • Choi, B.K., Barash, M. and Anderson, D.C. (1984) Automatic recognition of machined surfaces from a 3D solid model. Computer-Aided Design, 16(2), 81–6.

    Article  Google Scholar 

  • Chuang, S.-H. (1991) Feature recognition from solid models using conceptual shape graphs, Ph.D., Arizona State University.

    Google Scholar 

  • Cutkosky, M., Tenenbaum, J. and Muller, D. (1988) Features in process-based design, in ASME Computers in Enginearing, San Francisco, CA.

    Google Scholar 

  • DeFloriani, L. (1989) Feature extraction from boundary models of 3D objects I.E.E.E. Pattern Analysis and Machine Intelligence, 11(8), 785–98.

    Article  Google Scholar 

  • Duda, R. and Hart, P. (1973) Pattern Classification and Scene Analysis. New York.

    MATH  Google Scholar 

  • Ganu, P. (1989) Graph-based extraction of one-and two-connected features. M.S., Arizona State University.

    Google Scholar 

  • Gavankar, P. and Henderson, M.R. (1990) Graph-based extraction of protrusions and depression from solid models. Computer-Aided Design (June).

    Google Scholar 

  • Henderson, M.R. (1984) Extraction of feature information from three-dimensional CAD Data, Ph.D., Purdue University, West Lafayette, IN.

    Google Scholar 

  • Henderson, M.R. and Anderson, D. (1984) Computer recognition and extraction of form features. Computers in Industry, 5, 329–39.

    Article  Google Scholar 

  • Hummel, K, (1989) The role of features in the implementation of concurrent product and process design, in ASME Winter Annual Meeting, San Francisco, CA.

    Google Scholar 

  • Hwang, J. (1988) Rule-based feature recognition: Concepts primitives and implementation, M.S., Arizona State University.

    Google Scholar 

  • Hwang, J. (1991) Applying the perceptron to 3-D feature recognition, Ph.D., Arizona State University.

    Google Scholar 

  • Jakubowski, R. (1982) Syntactic chracterization of machine part regions. Cybernetics and Systems, 13(1) 1–24.

    Article  Google Scholar 

  • Joshi, S. and Chang, T.-C. (1988) Graphi-based heuristics for recognition of machined features from a 3D solid model. Computer-Aided Design, 20(2).

    Google Scholar 

  • Kyprianou, L. (1980) Shape classification in computer-aided design, Ph.D., Cambridge, UK.

    Google Scholar 

  • Peters, TJ. (1991) Encoding mechanical design features for recognition via neural nets (Technical report No. CSE-TR-91-20), Department of Computer Science, University of Connecticut.

    Google Scholar 

  • Prabhakar, S. (1990) An experiment on the use of neural nets in form feature recognition, M.S., Arizona State University.

    Google Scholar 

  • Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386–408.

    Article  MathSciNet  Google Scholar 

  • Sakurai, H. and Gossard, D. (1988) Shape feature recognition from 3D solid models, in ASME Computers in Engineering, San Francisco, CA.

    Google Scholar 

  • Shah, J.J. (1991) Assessment of features technology. Computer-Aided Design, 23(5), 331–43.

    Article  MATH  Google Scholar 

  • Staley, S.M., Henderson, M.R. and Anderson, D.C. (1983). Using syntactic pattern recognition to extract feature information from a solid geometric model data base. Computers in Mechanical Engineering, 9 (September), 61–6.

    Google Scholar 

  • Vandenbrande, J. (1990) Automatic recognition of machinable features in solid models, PhD. thesis published as Technical report No. IRIS #260. Computer Science Dept. and Institute for Robotics and Intelligent Systems, University of Southern California.

    Google Scholar 

  • Woodwark, J. (1988) Some speculations on feature recognition. Computer-Aided Design, 20(4), 189–96.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Henderson, M.R. (1994). Manufacturing feature identification. In: Dagli, C.H. (eds) Artificial Neural Networks for Intelligent Manufacturing. Intelligent Manufacturing Series. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0713-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-0713-6_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4307-6

  • Online ISBN: 978-94-011-0713-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics