Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Configuration Design of a Train Bogie using Functional Decomposition and TRIZ Theory

기능분해와 TRIZ 이론을 이용한 철도 대차의 구성설계

  • Lee, Jangyong (Intelligent Manufacturing Systems Team, Korea Institute of Industrial Technology) ;
  • Han, Soonhung (Department of Mechanical Engineering, KAIST)
  • Published : 2003.09.30
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Abstract

The configuration design of a mechanical product can be efficiently performed when it is based on the functional modeling. There are methodologies, which decompose function from the abstract level to the concrete level and match the functions to physical parts. But it is difficult to carry out an innovative design when the function is matched only to a pre-detined part. This paper describes the configuration design process of a mechanical product with a design expert system, which uses function taxonomy and TRIZ theory. The expert system can propose a functional modeling of a new part. which is not in the existing parts list. The abstraction levels of design knowledge are introduced, which describe the operation of mechanical product in the levels of abstraction. This is the theoretical background of using knowledge of function and TRIZ for configuration design. The expert system is adequate to control this design knowledge. which expresses knowledge of functional modeling, mapping rules between functions and parts, selection of parts, and TRIZ theory. The hierarchy of functions and machine parts are properly expressed by classes and objects in the expert system. A design expert system has been implemented for the configuration design of a train bogie, and a new brake system of the bogie is introduced with the aid of TRIZ's 30 function groups.

Keywords

References

  1. Altshuller, G.(1984). Creativity as an exact science, Gordon and Branch Publishers
  2. Altshuller, G.(1994). And suddenly the inventor appeared. Worcester, MA, USA: Technical Information Center
  3. Andrews, H. J.(1986). Railway traction. Amsterdam, The Netherlands: Elsevier Science Publishers
  4. Collins, J. A., Hagan, B. T., and Bratt, H. M.(1976). The failure-experience matrix( A useful design tool. Transactions of the ASME. Journal of Engineering in Industry, 98, 1074-1079
  5. Deng, Y-m, Tor, S. B, and Britton, G. A.(2000). Abstracting and exploring functional design information for conceptual mechanical product design. Engineering with Computers, 16, 36-52 https://doi.org/10.1007/s003660050035
  6. Devedzic, V.(1999). A survey of modem knowledge modeling techniques. International Journal of Expert Systems with Applications. 17,275-294 https://doi.org/10.1016/S0957-4174(99)00040-8
  7. Dixon, J. R.(1995). Knowledge-based systems for design. Transactions of the ASME. Special 50th Anniversary Design Issue, 117,11-16 https://doi.org/10.1115/1.2836444
  8. Hoffmann, A.(1998). Paradigms of artificial intelligence(pp. 17-21). Singapore: Springer-Verlag. http://www.triz-joumal.com/
  9. Hundal, M.(1990). A Systematic method for developing function structures, solutions and concept variants. Mechanism and Machine Theory, 25(3), 243-256
  10. Kim, S-H(1997). introduction to the railway system(in Korean). Jajak Academy
  11. Kirschman, C., and Fadel, G.(1998). Classifying functions for mechanical design. Transactions of the ASME, Journal of Mechanical Design, 120,475-482
  12. Koo, D-Y, Han, S-H, and Lee, S-H(1998). An object-oriented configuration design method for paper feeding mechanisms, International Journal of Expert Systems with Applications, 14(3),283-289
  13. Lee, C L.(1992). A functional approach to systems configuration design with application to hydraulic systems. Ph.D. thesis, University of Michigan
  14. Lee, H-M, Han, S-H,(2001). 2D Design Feature Recognition using Expert System(in Korea), Journal of Society of CAD/CAM Engineers, 6(2), 133-139
  15. Lee, J-Y, Han, S-H,(2001). Configuration Design of the Trainset of a High-speed Train Using Neural Networks, PAIS2001
  16. Mouliantis, V. C, Dentsoras, A. J., and Aspragathos, N. A.(1999) A knowledge-based system for the conceptual design of grippers for handling fabrics. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 13, 13-25
  17. Myung, S-H, and Han, S-H.(2001). Knowledge-based parametric design of mechanical products based on configuration design method. international Journal of Expert Systems with Applications, 21(2),99-107
  18. Neuron Data Inc.(1997), Neuron Data Elements Environment: Intelligent Rules Element V4.0 - User's Guide
  19. Neuron Data Inc.(1997), Neuron data elements environment: Intelligent rules element V4.0 - Language Programmer's Guide
  20. Pahl, G., and Beitz, W.(1988). Engineering design: A Systematic approach. Berlin: Springer-Verlag
  21. Rumbaugh, J., Blaha, M., Premerlani, W., Eddy, F., and Lorenson, W.(1991). Object-oriented modeling and design. Englewood Cliffs, NJ: Prentice-Hall International
  22. Seo, T-S, Han, S-H,(2001). Artificial Intelligence-based Stepwise Selection of Bearing, PAIS2001(Pacific Asian Conference on Intelligent System)
  23. Snavely, Gary L., and Papalambros, Panos Y.(1993) Abstraction as a configuration design methodology, Transactions of the ASME. Advances in Design Automation. 1, 297-305
  24. Stone, R., and Wood, K.(2000). Development of a functional basis for design. Transactions of the ASME, Journal of Mechanical Design, 122, 359-369 https://doi.org/10.1115/1.1289637
  25. Yang, K. and Zhang, H.(2000). A Comparison of TRIZ and Axiomatic Design, The TRIZ journal, http://www.triz-journal.com/archives/2000108/d/index.htm