DOI QR코드

DOI QR Code

강건성을 고려한 공리적 설계의 새로운 정보 지수

A New Information Index of Axiomatic Design for Robustness

  • 황광현 (한양대학교 기계설계학과) ;
  • 박경진 (한양대학교 기계, 정보경영공학부)
  • 발행 : 2002.10.01

초록

In product design and manufacturing, axiomatic design provides a systematic approach for the decision-making process. Two axioms have been defined such as the Independence Axiom and the Information Axiom. The Information Axiom states that the best design among those that satisfy the independence axiom is the one with the least information content. In other words, the best design is the one that has the highest probability of success. On the other hand, the Taguchi robust design is used in the two-step process; one is "reduce variability," and the other is "adjust the mean on the target." The two-step can be interpreted as a problem that has two FRs (functional requirements). Therefore, the Taguchi method should be used based on the satisfaction of the Independence Axiom. Common aspects exist between the Taguchi method and Axiomatic Design in that a robust design is induced. However, different characteristics are found as well. The Taguchi method does not have the design range, and the probability of success may not be enough to express robustness. Our purpose is to find the one that has the highest probability of success and the smallest variation. A new index is proposed to satisfy these conditions. The index is defined by multiplication of the robustness weight function and the probability density function. The robustness weight function has the maximum at the target value and zero at the boundary of the design range. The validity of the index is proved through various examples.gh various examples.

키워드

참고문헌

  1. Sub, N. P., 1990, The Principles of Design, Oxford university Press, New York
  2. Phadke, M. S., 1989, Quality Engineering Using Robust Design, Prentice Hall, Englewood Cliffs, New Jersey
  3. Park, S. H., Park, Y. H. and Lee, M. J., 1997, Statistical Process Control, Min Yeong-Sa, Seoul
  4. Lee, K. W. and Park G. J., 2000, 'A Structural Optimization Methodology Using the Independence Axiom,' Transaction of the KSME, A, Vol. 24, No. 10, pp. 2438 - 2450
  5. Park G. J., Do, S. H. and Suh, N. P., 1999, 'Design and Extension of Software Systems Using the Axiomatic Design Framework,' Transaction of the KSME, A, Vol. 23, No.9, pp. 1536 - 1549
  6. Hwang, Y. D. and Cha, S. W., 2001, 'Axiomatic Design of Mold System for Advance of Foaming Magnitude,' Transaction of the KSME, A, Vol. 25, No. 4, pp. 637 - 644
  7. Shin, M. K., Hong, S. W. and Park, G. J., 2001, 'Axiomatic Design of the Motor-Driven Tilt/Telescopic Steering System for Safety and Vibration,' Proc. Instn. Mech. Engrs., Vol. 215, Part D, pp. 179 - 187
  8. Lee, K. H., Eom, I. S., Park, G. J. and Lee, W. I., 1996, 'Robust Design for Unconstrained Optimization Problems Using Taguchi Method,' AIAA J., Vol. 34, No.5, pp. 1059 - 1063 https://doi.org/10.2514/3.13187
  9. Lee, K. H. and Park, G. J., 1997, 'Robust Structural Optimization Considering the Tolerances of Design Variables,' Transaction of the KSME, A, Vol. 21, No. I, pp. 112 - 123
  10. Hwang, K. H., Lee, K. W. and Park, G. J., 2001, 'Robust Optimization of an Automobile Rearview Mirror for Vibration Reduction,' Struct. Multidiscip. Optim., Vol. 21, No.4, pp. 300 - 308 https://doi.org/10.1007/s001580100107
  11. Chen, W., Wiecek, M. M. and Zhang, J., 1999, 'Quality utility - A Compromise Programming Approach to Robust Design,' J. Mech. Des., Vol. 121, pp.179-187 https://doi.org/10.1115/1.2829440
  12. Bras, B. and Mistree, F., 1995, 'Compromise Decision Support Problem for Axiomatic and Robust Design,' J. Mech. Des., Vol. 117, pp. 10 - 19 https://doi.org/10.1115/1.2830519
  13. Chen, K. Z., 1999, 'Identifying the Relationship among Design Methods: Key to Successful Applications and Developments of Design Methods,' J. Eng. Des., Vol. 10, pp. 125 - 141 https://doi.org/10.1080/095448299261353
  14. Suh, N. P., 1995, 'Designing-in of Quality through Axiomatic Design,' IEEE Trans. Reliab., Vol. 44, No. 2, pp. 256 - 264 https://doi.org/10.1109/24.387380
  15. Suh, N. P., 2001, Axiomatic Design: Advances and Applications, Oxford University Press, New York
  16. William Y. F. and Clyde M. c, 1995, Engineering Methods for Robust Product Design, Addison-Wesley. Reading, Massachusetts