Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-02T19:52:07.006Z Has data issue: false hasContentIssue false
  • English
  • Français

Feature modeling using a grammar representation approach

Published online by Cambridge University Press:  02 November 2005

E. OSTROSI  and
M. FERNEY
E. OSTROSI
Affiliation:
Laboratoire de Recherche Mécatronique 3M, Université de Technologie de Belfort-Montbéliard, Belfort, France
M. FERNEY
Affiliation:
Laboratoire de Recherche Mécatronique 3M, Université de Technologie de Belfort-Montbéliard, Belfort, France
Get access Rights & Permissions [Opens in a new window]

Abstract

In intelligent computer-aided design the concept of intelligence is related to that of integration. Using feature-based computer-aided design models is thought to make a complete integration. This paper presents a feature recognition approach based on the use of a feature grammar. Given the complexity of feature recognition in interactions, the basic idea of the approach is to find the latent and logical structure of features in interaction. The approach includes five main phases. The first phase, called regioning, identifies the potential zones for the birth of features. The second phase, called virtual extension, builds links and virtual faces. The third phase, called structuring, transforms the region into a structure compatible with the structure of the features represented by the feature grammar. The fourth phase, called Identification, identifies the features in these zones. The fifth phase, called modeling, represents the model by features. The feature modeling system software is developed based on this approach.

Keywords

Computer-Aided DesignDesignFeature ModelingGrammarRecognition
Type
Research Article
Information
AI EDAM , Volume 19 , Issue 4 , November 2005 , pp. 245 - 259
Copyright
© 2005 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ansaldi, S., de Floriano, L., & Falcadino, B. (1985). An edge–face relational scheme for boundary representation. Computer Graphics Forum 4(4), 319–332.Google Scholar
Bond, A.H. & Chang, K.J. (1988). Feature based process planning for machined parts. Proc. ASME Int. Computers in Engineering Conf., Vol. 1, pp. 571–576, San Diego, CA.
Bronsvoort, W. & Jansen, F.W. (1993). Feature modelling and conversion—key concepts to concurrent engineering. Computers in Industry 21, 61–68.Google Scholar
Choi, B.K., Barabash, M.M., & Anderson, D.C. (1988). Automatic recognition of machined surfaces from a 3-D solid model. CAD 20(2), 58–64.Google Scholar
De Martino, T. & Gianini, F. (1994). The role of feature recognition in the future CAD systems. Proc. IFIP Int. Conf. Feature Modelling and Recognition in Advanced CAD/CAM Systems, pp. 343–356, Valenciennes, France.
Falcidieno, B. & Gianini, F. (1989). Automatic recognition and representation of shape-based features in a geometric modelling system. Computers Vision, Graphics and Image Proceedings 48, 92–123.Google Scholar
Henderson, M.R. (1994). Manufacturing feature identification. Artificial Neural Networks for Intelligent Manufacturing, pp. 229–264. London: Chapman & Hall.
Henderson, M.R. & Anderson, D.C. (1984). Computer recognition and extraction of form features: a CAD/CAM link. Computers in Industry 5, 329–339.CrossRefGoogle Scholar
Joshi, S. & Chang, T.S. (1988). Graph based heuristics for recognition of machined features from 3-D solid model. CAD 20, 58–66.Google Scholar
Kim, Y.S. (1992). Recognition of form features using convex decomposition. CAD 24(9), 461–476.Google Scholar
Kim, Y.S. & Wilde, D.J. (1992). A convex decomposition using convex hulls and local cause of its non-convergence. ASME Journal of Mechanical Design 114, 459–467.Google Scholar
Laako, T. & Mäntylä, M. (1993). Feature modelling by incremental feature recognition. CAD 25(8), 479–492.Google Scholar
Li, R.K. (1988). A part-feature recognition system for rotational parts. International Journal of Product Research 26(9), 1451–1475.Google Scholar
Marefat, M. & Kashyap, R.L. (1990). Geometric reasoning for recognition of three dimensional object features. Transactions of the 8th Army Conf. Applied Mathematics and Computing, pp. 705–731.
Menon, S. & Kim, Y.S. (1994). Cylindrical features in form feature recognition using convex decomposition. Proc. IFIP Int. Conf. Feature Modelling and Recognition in Advanced CAD/CAM Systems, pp. 295–314, Valenciennes, France.
Srinavasan, R., Liu, C.R., & Fu, S.K. (1985). Extraction of manufacturing details from Geometric models. Computers and Industrial Engineering 9, 125–134.CrossRefGoogle Scholar
Woo, T. (1982). Feature extraction by volume decomposition. Proc. CAD/CAM Technology in Mechanical Engineering Conf., pp. 76–94. Cambridge, MA: MIT.