Nothing Special   »   [go: up one dir, main page]

Skip to main content
Log in

Multiple domain feature mapping: a methodology based on deep models of features

  • Papers
  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

In the research described in this paper, an approach that utilizes deep models of features to transform a component design represented by neutral features into domain-specific features has been developed. The neutral features are known as feature-oriented generic shapes (FOGSs). The proposed approach provides the flexibility needed to represent both the deep and shallow knowledge required in feature mapping. A deep model of a feature is represented in the form of a face connectivity graph (FCG) that embodies deep knowledge about its geometry, while other non-geometrical information can be represented as rules or procedural functions. By comparing the original faces of a product model with those of the resultant evaluated boundary model, faces of interest can be easily extracted and described using FCGs. A FCG can then be examined to determine its class and the relevant parameters for applications in such domains as process planning. The mapping shell is designed with layered architecture that makes it highly appropriate for implementation using blackboard technology.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anderson, D.C. and Chang, T.C. (1990) Geometric reasoning in feature-based design and process planning. Computers & Graphics, 14 (2), 225–235.

    Google Scholar 

  • Broonsvoort, W.F. and Jansen, F.W. (1993) Feature modeling and conversion—key concepts to concurrent engineering, in Computers in Industry, Vol. 21, No. 1, North Holland Pub. Co., Amsterdam, pp. 61–86.

  • Dixon, J.R., Libardi, E.C. and Nielsen, E.H. (1990) Unresolved research issues in development of design-with-features systems, in Geometric Modeling for Product Engineering, Wozny, M.J., Turner, J.U. and Preiss, K. (eds), IFIP WG5.2/NSF Working Conference on Geometric Modeling, Rensselaerville, USA, September, 1988.

  • Fu, Z. and Pennington, A. De (1992) Reasoning about machinable features for automated process planning. Journal of Design and Manufacturing, 2, 225–237.

    Google Scholar 

  • Gallagher, K.Q., Corkill, D.D. and Johnson, P.M. (1988) GBB Reference Manual GBB Version 1.2, COINS Technical Report 88-66.

  • Henderson, M.R. and Anderson, D.C. (1984) Computer recognition and extraction of form features: a CAD/CAM link. Computers in Industry, 4(5), 329–339.

    Google Scholar 

  • Joshi, S. and Chang, T.C. (1988) Graph-based heuristics for recognition of machined features from a 3-D solid model. Computer Aided Design, 20(2), 58–64.

    Google Scholar 

  • Kim, Y.S. (1992) Recognition of form features using convex decomposition. Computer Aided Design, 24(9), 461–476.

    Google Scholar 

  • Koton, P.A. (1985) Empirical and model-based reasoning in expert systems, in Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-85, pp. 297–299.

    Google Scholar 

  • Kunz, J.C., Stelzner, M.J. and Williams, M.D. (1989) From classic expert systems to models: introduction to a methodology for building model-based system, in Topics in Expert System Design, Guida, G. and Tasso, C. (eds), Elsevier Science Publishers B.V., Holland, pp. 87–110.

    Google Scholar 

  • Pratt, M.J. (1990) A hybrid feature-based modeling system, Technical Report No 93018, Rensselaer Design Research Center, Rensselaer Polytechnic Institute, Troy, NY 12180.

    Google Scholar 

  • Pratt, M.J. (1993) Automated feature recognition and its role in product modeling, in Geometric Modelling, Farin, G., Hagen, H. and Noltemeir, H. (eds), Computing Supplementum 8, Springer Verlag, Austria, pp. 241–250.

    Google Scholar 

  • Riesbeck, C.K. and Schank, R.C. (1989) Inside Case-Based Reasoning, Lawrence Erlbaum Associates, New York, USA.

    Google Scholar 

  • Rossignac, J.R. (1990) Issues on feature-based editing and interrogation of solid models. Computers & Graphics, 14(2), 149–172.

    Google Scholar 

  • Schank, R.C. (1982) Dynamic Memory: a theory of reminding and learning in computers and people, Cambridge University Press, Cambridge.

    Google Scholar 

  • Shah, J.J. (1988) Feature transformations between applicationspecific features spaces. Computer-Aided Engineering Journal, 5(1), 247–255.

    Google Scholar 

  • Shah, J.J. (1992) Features in design and manufacturing, in Intelligent Design and Manufacturing, Kusiak, A. (ed.), John Wiley, Chichester, pp. 39–71.

    Google Scholar 

  • Shah, J.J. and Rogers, M.T. (1988) Functional requirements and conceptual design of the feature-based modelling system. Computer-Aided Engineering Journal, 5, 9–15.

    Google Scholar 

  • The Concept Modeller (1992) Concept Modeller, Release 2.0, Reference Manual, Wisdom Systems, Peper Pike, Ohio, USA.

    Google Scholar 

  • Wang, M.T., Chamberlain, M.A., Joneja, A., Chang, T.C. (1993) Manufacturing feature extraction and machined volume decomposition in a computer-integrated featurebased design and manufacturing planning environment. Computers in Industry, 23, 75–86.

    Google Scholar 

  • Woodwark, J.R. (1988) Some speculation on feature recognition. Computer-Aided Design, 20(4), 189–196.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lim, S.S., Lim, L.E.N., Lee, I.B.H. et al. Multiple domain feature mapping: a methodology based on deep models of features. J Intell Manuf 6, 245–262 (1995). https://doi.org/10.1007/BF00128648

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00128648

Keywords

Navigation