Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-27T08:21:18.379Z Has data issue: false hasContentIssue false
  • English
  • Français

Supporting conceptual design based on the function-behavior-state modeler

Published online by Cambridge University Press:  27 February 2009

Yasushi Umeda ,
Masaki Ishii ,
Masaharu Yoshioka ,
Yoshiki Shimomura  and
Tetsuo Tomiyama
Yasushi Umeda
Affiliation:
Department of Precision Machinery Engineering, Graduate School of Engineering, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113, Japan.
Masaki Ishii
Affiliation:
Department of Precision Machinery Engineering, Graduate School of Engineering, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113, Japan.
Masaharu Yoshioka
Affiliation:
Department of Precision Machinery Engineering, Graduate School of Engineering, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113, Japan.
Yoshiki Shimomura
Affiliation:
Mita Industrial Co., Ltd., Tamatsukuri 1-2-28, Chuo-ku, Osaka, Japan
Tetsuo Tomiyama
Affiliation:
Department of Precision Machinery Engineering, Graduate School of Engineering, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113, Japan.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The relative significance of conceptual design to basic design or detail design is widely recognized, due to its influential roles in determining the product's fundamental features and development costs. Although there are some general methodologies dealing with functions in design, virtually no commercial CAD systems can support functional design, in particular so-called synthetic phase of design. Supporting the synthetic phase of conceptual design is one of the crucial issues of CAD systems with function modeling capabilities. In this paper, we propose a computer tool called a Function-Behavior-State (FBS) Modeler to support functional design not only in the analytical phase but also in the synthetic phase. To do so, the functional decomposition knowledge and physical features in the knowledge base of the modeler, and a subsystem Qualitative Process Abduction System (QPAS) play crucial roles. Modeling scheme of function in relation with behavior and structure and design process for conceptual design in the FBS Modeler are described. The advantages of the FBS Modeler are demonstrated by presenting two examples; namely, an experiment in which designers used this tool and the design of functionally redundant machines, which is a new design methodology for highly reliable machines, as its application.

Keywords

Conceptual DesignFBS ModelerFunction ModelingFunctional ReasoningFunction Redundancy
Type
Articles
Information
AI EDAM , Volume 10 , Issue 4: Special Issue: Representing functionality in design , September 1996 , pp. 275 - 288
Copyright
Copyright © Cambridge University Press 1996

References

REFERENCES

Abu-Hanna, A., Benjamins, R., & Jansweijer, W. (1991). Device understanding and modeling for diagnosis. IEEE Expert 6(2), 26–32.CrossRefGoogle Scholar
Allemang, D., & Liver, B. (1994). A functional representation for design. In Workshop Notes of Reasoning About Function, AAAI-94 Workshop Program, (Hodges, J., Ed.), pp. 9–19. AAAI, Menlo Park, CA.Google Scholar
Bracewell, R.H., Langdon, P.M., Oh, W.K., Chaplin, R.V., Li, M., Yan, X.T., & Sharpe, J.E.E. (1995). Integrated platform for Al support of complex design—(part I): Rapid development of schemes from first principles. In Preprints of the First IFIP WG 5.2 Workshop: Knowledge Intensive CAD-1, (Tomiyama, T., Mantyla, M. and Finger, S., Eds.), pp. 263–281. IFIP.Google Scholar
Bradshaw, J.A., & Young, R.M. (1991). Evaluating design using knowledge of purpose and knowledge of structure. IEEE Expert 6 (2), 33–40.CrossRefGoogle Scholar
Faltings, B. (1987). Qualitative kinematics in mechanisms. Proc. IJCAI 87, 436–442.Google Scholar
Forbus, K. (1984). Qualitative process theory. Artif. Intell. 24(3), 85–168.CrossRefGoogle Scholar
Franke, D.W. (1991). Deriving and using descriptions of purpose. IEEE Expert 6(2), 41–47.CrossRefGoogle Scholar
Ireson, W.G. (1966). Reliability handbook. McGraw-Hill, New York.Google Scholar
Ishii, M., Tomiyama, T., & Yoshikawa, H. (1993). A synthetic reasoning method for conceptual design. IFIP World Class Manufacturing '93, pp. 3–16. Amsterdam, North-Holland.Google Scholar
Iwasaki, Y., Fikes, R., Vescovi, M., & Chandrasekaran, B. (1993). How things are intended to work: Capturing functional knowledge in device design. Proc. IJCAI'93, pp. 1516–1522.Google Scholar
Keuneke, A.M. (1991). Device representation: The significance of functional knowledge. IEEE Expert 6 (2), 22–25.CrossRefGoogle Scholar
Miles, L.D. (1972). Techniques of value analysis and engineering. McGraw-Hill, New York.Google Scholar
Pahl, G., & Beitz, W. (1988). Engineering design: A systematic approach. Springer-Verlag, Berlin.Google Scholar
Rodenacker, W. (1971). Methodisches Konstruieren. Springer-Verlag, Berlin.Google Scholar
Shimomura, Y., Takeda, H., Yoshioka, M., Umeda, Y., and Tomiyama, T. (1995). Representation of design object based on the functional evolution process model. In 9th Int. Conf. Design Theory and Methodology— DTM '95, (Ward, A.C., Ed.), pp. 351–360. ASME, New York.Google Scholar
Suh, N.P. (1990). The principles of design. Oxford University Press, New York.Google Scholar
Tomiyama, T., Kiriyama, T., & Umeda, Y. (1994). Toward knowledge intensive engineering. In Knowledge Building and Knowledge Sharing, (Fuchi, K. and Yokoi, T., Eds.), pp. 308–316. Ohmusha and IOS Press, Tokyo.Google Scholar
Tomiyama, T., Kiriyama, T., & Yoshikawa, H. (1992). Conceptual design of mechanisms: A qualitative physics approach. In Concurrent Engineering: Automation, Tools, and Techniques, (Kusiak, A., Ed.), pp. 131–152. John Wiley & Sons, New York.Google Scholar
Ulrich, K.T., & Seering, W.P. (1988). Function sharing in mechanical design. Proc. AAAI-88, pp. 342–346.Google Scholar
Umeda, Y., Takeda, H., Tomiyama, T., & Yoshikawa, H. (1990). Function, behaviour, and structure. In Applications of Artificial Intelligence in Engineering, V, (Gero, J.S., Ed.), pp. 177–193. Computational Mechanics Publications and Springer-Verlag, Southhampton and Berlin.Google Scholar
Umeda, Y., Tomiyama, T., & Yoshikawa, H. (1992). A design methodology for a self-maintenance machine based on functional redundancy. In Design Theory and Methodology—DTM '92, (Taylor, D.L. and Stauffer, L.A., Eds.), pp. 317–324. ASME, New York.Google Scholar
Welch, R.V., & Dixon, J.R. (1992). Representing function, behavior and structure during conceptual design. In Design Theory and Methodology— DTM '92, (Taylor, D.L. and Stauffer, L.A., Eds.), pp. 11–18. ASME, New York.Google Scholar
Yoshikawa, H., & Gossard, D., Eds. (1989). Intelligent CAD, I. North-Holland, Amsterdam.Google Scholar