Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-19T23:24:26.146Z Has data issue: false hasContentIssue false
  • English
  • Français

Prototype system for supporting the incremental modelling of vague geometric configurations

Published online by Cambridge University Press:  27 February 2009

X. Guan ,
A.H.B. Duffy  and
K.J. MacCallum
X. Guan
Affiliation:
Industrial Systems and Control Ltd., 50 George Street, Glasgow Gl 1QE, U.K.
A.H.B. Duffy
Affiliation:
CAD Centre, University of Strathclyde, 75 Montrose Street, Glasgow Gl 1XJ, UK
K.J. MacCallum
Affiliation:
CAD Centre, University of Strathclyde, 75 Montrose Street, Glasgow Gl 1XJ, UK
Get access Rights & Permissions [Opens in a new window]

Abstract

Few existing Computer Aided Design (CAD) systems provide assistance to designers in developing geometric concepts at the early design stages. Instead they require a high level of precision and detail suited to detail design. To support the early geometric design, a CAD system should provide utilities for the rapid capture and iterative development of vague geometric models. This paper presents a pilot system that is being developed based on such a vision. The system has adopted minimum commitment modelling and incremental refinement as the guiding principles. The representation of geometric configuration is based on a parametric and constraint-based geometric design model, and provides a uniform representation of the approximate and precise size and location parameters. A constraint-based mechanism has been developed for processing geometric information. The use of the system in assisting the development of a geometric configuration is also demonstrated. Finally, features and limitations of the system as well as relations to relevant works are discussed, and based on this a number of key research directions are established.

Keywords

Vague Geometric ModellingEarly Design Support SystemsGeometric ConfigurationCADGeometric Design
Type
Articles
Information
AI EDAM , Volume 11 , Issue 4 , September 1997 , pp. 287 - 310
Copyright
Copyright © Cambridge University Press 1997

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

Asimow, M. (1962). Introduction to design. Prentice-Hall, Inc., Englewood Cliffs, NJ.Google Scholar
Baykan, C.A., & Fox, M.S. (1992). WRIGHT: A constraint based spatial layout system. In Al in Engineering Design, (Tong, C. and Sriram, D., Eds.), Vol. I, pp. 395–432. Academic Press, Inc., New York.Google Scholar
Chambon, R., & Tollenaere, M. (1987). An expert system for objects placing in three-dimensional space. In Knowledge Based Expert System in Engineering: Planning and Design. (Sriram, D. and Adey, R.A., Eds.), pp. 449–459. Southampton, U.K.: Computational Mechanics Publications.Google Scholar
Coyne, R.F. (1991). ABLOOS: An Evolving Hierarchical Design Framework. EDRC 02–15–91.Google Scholar
Dym, C.L. (1994). Engineering design: A synthesis of views. Cambridge University Press, New York.Google Scholar
Farinacci, M., Hulthage, I., Rychener, M., & Fox, M. (1992). ALADIN: An innovative materials design system. In Artificial Intelligence in Engineering Design (Tong, C. and Sriram, D., Eds.), Vol. II, pp. 215–262. Academic Press, Inc., New York.Google Scholar
Flemming, U., Coyne, R.F., Glavin, T., Hung, H., & Rychener, M.D. (1989). A generative expert system for the design of building layouts. Technical Report EDRC48–15–89.Google Scholar
Gross, M.D. (1996). The electronic cocktail napkin—A computational environment for working with design diagrams. Design Studies 17(1), 53–69.CrossRefGoogle Scholar
Guan, X., & MacCallum, K.J. (1995). Modelling of vague and precise geometric information for supporting the entire design process. In Knowledge Intensive CAD-I, (Tomiyama, T., Mäntylä, & Finger, S., Eds.), Preprints of the 1st IFIPWG5.2 Workshop, pp. 301–319.Google Scholar
Guan, X., & MacCallum, K.J. (1996). Adopting a minimum commitment principle for computer aided geometric design systems. In Artificial Intelligence in Design '96, (Gero, J.S. and Sudweeks, F., Eds.), pp. 623–639, Kluwer Academic Publishers, New York.Google Scholar
The Harlequin Group Limited. (1994). Lisp works user's guide.Google Scholar
Hel Or, Y., Rappoport, A., & Werman, M. (1994). Relaxed parametric design with probabilistic constraints. Computer-Aided Design 26(6), 426–434.CrossRefGoogle Scholar
Heintze, N., Jaffar, J., Michaylov, S., Stuckey, P., & Yap, R. (1991). The CLP(R) programmer's manual, version 1.1., IBM, Thomas J. Watson Research Centre.Google Scholar
Light, R., & Gossard, D. (1982). Modification of geometric models through variational geometry. Computer-Aided Design 14(4), 209–214.CrossRefGoogle Scholar
MacCallum, K.J., Duffy, A.H.B., & Green, S. (1985). An intelligent concept design assistant. Proc. of the 1F1P WC5.2 Working Conference on Design Theory for CAD, 301–317.Google Scholar
Mäntylä, M., Opas, J., & Puhakka, J. (1989). Generative process planning of prismatic parts of feature relaxation. Proc. ASME Design Automation Conf., 49–60.Google Scholar
Martin, R.R. (1994). Modelling inexact shapes with fuzzy sets. In Set-theoretic Solid Modelling: Techniques and Applications. Information Geometers Ltd.Google Scholar
Moore, R.E. (1979). Methods and applications of interval analysis. SIAM, Philadelphia.CrossRefGoogle Scholar
Nielsen, E.H. (1991). Designing mechanical components with features: Representing the form and intent of in-progress design for automated modification and evaluation. PhD Dissertation. Department of Mechanical Engineering, University of Massachusetts.Google Scholar
Requicha, A.A.G. (1980). Representations for rigid solids: Theory, method, and systems. Comput Surveys 12(4), 437–464.CrossRefGoogle Scholar
Retz-Schmidt, G. (1988). Various views on spatial prepositions. Al Magazine 9(2), 95–105.Google Scholar
Rumbaugh, J., Blaha, M., Premerlani, W., Eddy, F., & Lorensen, W. (1991). Object-oriented modelling and design. Prentice-Hall International Editions, Englewood Cliffs, NJ.Google Scholar
Solano, L., & Brunet, P. (1994). Constructive constraint-based model for parametric CAD systems. Computer-Aided Design 26(8), 614–621.CrossRefGoogle Scholar
Spatial Technology Inc (1992). ACIS: Interface guide, Boulder, CO.Google Scholar
Weld, D.S. (1994). An introduction to least commitment planning. Al Magazine 15(4), 27–61.Google Scholar
Yamaguchi, Y., Nakamura, H., & Kimura, F. (1993). Probabilistic solid modelling: A new approach for handling uncertain shapes. In Geometric Modelling for Product Realisation (Wilson, P.R., Wozny, M.J. and Pratt, M.J., Eds.), pp. 95–108. Elsevier Science Publishers B.V., Amsterdam.Google Scholar