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From general design theory to knowledge-intensive engineering

Published online by Cambridge University Press:  27 February 2009

Tetsuo Tomiyama
Tetsuo Tomiyama
Affiliation:
Associate Professor, Department of Precision Machinery Engineering, The University of Tokyo, Hongo 7–3–1, Bunkyo-ku, Tokyo 113, Japan.
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Abstract

Contributions of general design theory (GDT) proposed by Yoshikawa for the development of advanced CAD (computer-aided design) and for innovative design from the research results of a group at the University of Tokyo are illustrated. First, the GDT that formalizes design knowledge based on axiomatic set theory is reviewed. Second, this theoretical result is tested against experimental work on design processes. Although in principle the theoretical results agree with the experimental findings, some problems can be pointed out. From these problems a new design process model, called the refinement model, is established, which has better agreement with the experimental findings. This model implies three guiding principles in developing a future CAD system. One is that future CAD requires a mechanism for physics-centered modeling and multiple model management. Second, a mechanism for function modeling is also required, and the FBS (function-behavior-state) modeling is proposed. Third, intention modeling is also proposed for recording decision-making processes in design. These advanced modeling techniques enable creative, innovative designs. As an example, the design of self-maintenance machines is illustrated. This design example utilizes design knowledge intensively on a knowledge-intensive CAD. This is a new way of engineering and can be called knowledge-intensive engineering. The design of self-maintenance machines is, therefore, an example of knowledge-intensive design of knowledge-intensive products, which demonstrates the power of the design methodology derived from the GDT.

Keywords

General Design TheoryKnowledge-intensive EngineeringKnowledge-instensive CADMeta ModelFunction ModelSelf-maintenance Machine
Type
Articles
Information
AI EDAM , Volume 8 , Issue 4 , Fall 1994 , pp. 319 - 333
Copyright
Copyright © Cambridge University Press 1994

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References

REFERENCES

Akman, V., ten Hagen, P.J.W., & Tomiyama, T. (1990). A fundamental and theoretical framework for an intelligent CAD system. Computer-Aided Design 22(6), 352–367.CrossRefGoogle Scholar
Forbus, K. (1984). Qualitative process theory. Artificial Intelligence 24(3), 85–168.CrossRefGoogle Scholar
Gero, J.S., Ed. (1985). Knowledge Engineering for CAD. North-Holland, Amsterdam.Google Scholar
Kiriyama, T., Tomiyama, T. & Yoshikawa, H. (1991). The use of qualitative physics for integrated design object modeling. In Design Theory and Methodology –DTM’91 –, DE-Vol. 31, (Stauffer, L.A., Ed.), pp. 53–60. ASME, New York.Google Scholar
Reich, Y. (1991). Design theory and practice II: A comparison between a theory of design and an experimental design system. Technical Report EDRC 12–46–91, Engineering Design Research Center, Carnegie Mellon University, Pittsburgh, Pennsylvania.Google Scholar
Shimomura, Y.Sakao, T.Ohmichi, K.Widmer, T.Umeda, Y.Tomiyama, T. & Yoshikawa, H. (1993). Model-based automatic generation of control sequence from design information. In Proc. Eighth Annual Meeting of the American Society of for Precision Engineering, pp. 495–498.Google Scholar
Takeda, H., Hamada, S., Tomiyama, T., & Yoshikawa, H. (1990 a). A congnitive approach to the analysis of design processes. In Design Theory and Methodology – DTM ’90 –, DE-vol. 27, (Rinderle, J.R. Ed.), pp. 153–160. ASME, New York.Google Scholar
Takeda, H., Tomiyama, T., & Yoshikawa, H. (1990 b). Logical formalization of design processes for intelligent CAD systems. In Intelligent CAD, II, (Yoshikawa, H., & Holden, T., Eds.), pp. 325–336. North-Holland, Amsterdam.Google Scholar
Takeda, H., Tomiyama, T., & Yoshikawa, H. (1992). A logical and computable framework for reasoning in design. In Design Theory and Methodology – DTM ’92 –, DE-Vol. 42, (Taylor, D.L., & Stauffer, L.A., Eds.), pp. 167–174. ASME, New York.Google Scholar
Tomiyama, T., Kiriyama, T., Takeda, H., & Yoshikawa, H. (1989). Metamodel: A key to intelligent CAD systems Res. Engineering Design Design 1(1), 19–34.CrossRefGoogle Scholar
Tomiyama, Y. (Tomiyama, T., 1990). Engineering design research in Japan. In Design Theory and Methodology – DTM ’90 –, DE-Vol. 27, (Rinderle, J.R., Ed.), pp. 219–224. ASME, New York.Google Scholar
Tomiyama, T. & Umeda, Y. (1993). A CAD for functional design. Ann. CIRP 43(1), 143–146.CrossRefGoogle Scholar
Tomiyama, T., & Yoshikawa, H. (1987). Extended general design theory. In Design Theory for CAD. (Yoshikawa, H., & Warman, E.A., Eds.), pp. 95–130. North-Holland, Amsterdam.Google Scholar
Tomiyama, T.Umeda, Y., & Kiriyama, T. (1994). A framework for knowledge intensive engineering. In Lecture Notes of the Fourth International Workshop on Computer Aided System Technology (CAST ’94), University of Ottawa, Ont., Canda.Google Scholar
Umeda, Y., Takeda, H.Tomiyama, T., & Yoshikawa, H. (1990). Function, behaviour, and structure. In Applications of Artificial Intelligence in Engineering V, Vol. 1, (Gero, J., Ed.), pp. 177–193. Springer-Verlag, Berlin.Google Scholar
Umeda, Y., Tomiyama, T., & Yoshikawa, H. (1992 a). A design methodology for a self-maintenance machine based on functional redundancy. In Design Theory and Methodology – DTM ’92– DE-Vol. 42, (Taylor, D., & Stauffer, L.A., Eds.), pp. 317–324. ASME, New York.Google Scholar
Umeda, Y., Tomiyama, T., & Yoshikawa, H. (1992 b). A design methodology for a self-maintenance machine. In First Int. Conf. Intelligent Systems Engineering, Conference Publication No. 360, pp. 179–184. IEE, London.Google Scholar
Yoshikawa, H. (1981). General design theory and a CAD system. In Man-Machine Communication in CAD/CAM, (Sata, T., & Warman, E.A., Eds.), pp. 35–58. North-Holland, Amsterdam.Google Scholar