Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
권호 표지

Optimization of Sheet Metal Forming Process by using Decision-Making Theory

의사결정이론을 이용한 박판성형공정의 최적화

  • 김경모 (금오공과대학교 산업공학부) ;
  • 인정제 (인덕대학교 기계설계과)
  • Published : 2012.04.30
⟨ Previous Next ⟩

Abstract

Wrinkle and fracture are two major defects frequently found in the sheet metal forming process. In this process there are more than one design attributes to optimize and several uncontrollable factors which cannot be ignored in determining the optimal values of design variables. Therefore, attempts to reduce defects through a traditional optimization technique are often led to failures. In this research, a new design method for reducing the wrinkle and fracture under uncontrollable factors is presented by using decision-making theory. To avoid the psychological difficulties in determining the scaling constants of the multi-attribute utility function by using the ordinary lottery questions, a pair-wise comparison procedure is adapted to avoid this problem. The effectiveness of the proposed method is illustrated through a robust design of sheet metal forming process of a side member of an automotive body.

Keywords

References

  1. Kim, K., Yin, J.J., and Suh, Y.S., "Process optimization of Sheet Metal Forming Using Operating Window," Proceedings of the ASME IDETC/CIE 2009, San Diego, California, 2009.
  2. Zhang, W., and Shivpuri, R., "Probabilistic design of aluminum sheet drawing for reduced risk of wrinkling and fracture", Reliability Engineering and System Safety, Vol. 94, pp. 152-161, 2009.
  3. Donglai, W., Zhenshan, C., and Jun, C., "Optimization and tolerance prediction of sheet metal forming process using response surface model", Computational Materials Science, Vol. 42, pp. 228-223, 2008.
  4. Buranathiti, T., Cao, J., Xia, Z. C,. and Chen, W., "Probabilistic Design in a Sheet Metal Stamping Process under Failure Analysis", Numisheet 2005, pp. 867-872, 2005.
  5. Chen, P. and Koc, M., "Simulation of springback variation in forming of advanced high strength steels", Journal of Material Processing Technology, 190, pp.189-198, 2007.
  6. Strano, M., "Robustness Evaluation and Tolerance Prediction for a Stamping Process with Springback Calculation by the FEM", Numisheet 2005, pp. 266-271, 2005.
  7. Li, Y. Q., Cui, Z. S., Ruan, X. Y., and Zhang, D. J., "Application of Six Sigma Robust Optimization in Sheet Metal Forming", Numisheet 2005, pp. 819-824, 2005.
  8. Mullerschon, H., Roux, W., Lorenz, D., and Roll, K., "Stochastic Analysis of Uncertainties for Metal Forming Processes with LS-OPT", Numisheet 2008, pp. 819-828, 2008.
  9. Park, J., "R&D Creative Innovation : Design for Six Sigma and TRIZ", Proceedings of TRIZ Conference, Seoul, pp. 1-22, 2011.
  10. Lind, E. E., Goldin, J. and Hickman, J. B., "Fitting Yield and Cost Response Surfaces", Chem. Eng. Prog., Vol. 56, pp. 62-68, 1960.
  11. Del Castillo, E. and Montgomery, D. C., "A Nonlinear Programming Solution to the Dual Response Problem", Journal of Quality Technology, Vol. 25, pp. 199-204, 1993.
  12. Khuri, A. I. and Conlon, M., "Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions", Technometrics, Vol. 23, pp. 363-375, 1981.
  13. Ames, A. E., Mattucci, N., MacDonald, S., Szonyi, G., and Hawkins, D. M., "Quality Loss Functions for Optimization Across Multiple Response Surfaces", Journal of Quality Technology, Vol. 29, pp. 339-346, 1997.
  14. Miro-Quesada, G. and Del Castillo, E., "Two Approaches for Improving the Dual Response Method in Robust Parameter Design", Jounal of Quality Technology, Vol. 36, pp. 154-168, 2004.
  15. Del Castillo, E., Montgomery, D. C. and McCarville, D. R., "Modified Desirability Functions for Multiple Response Optimization", Journal of Quality Technology, Vol. 28, pp. 337-345, 1996.
  16. Thurston, D. L., "A Formal Method for Subjective Design Evaluation with Multiple Attributes", Research in Engineering Design, Vol. 3, pp. 105-122, 1991.
  17. Fichitali, J., Van De Voort, F. R. and Khuri, A. I., "Multiresponse Optimization of Acid Casein Production", Journal of Food Process Engineering, Vol. 12, pp. 247-258, 1990.
  18. Keeney, R. L. and Raiffa, H., "Decisions with Multiple Objectives : Preferences and Value Tradeoffs", John Wiley & Sons Inc., NY, pp. 282-343, 1993.
  19. Lewis, K. E., Chen, W., and Schmidt, L. C., "Decision Making in Engineering Design", ASME, NY, 2006.
  20. Fischer, G. W., "Utility Models for Multiple Objective Decisions : Do They Accurately Represent Human Preferences?", Decision Sciences, Vol. 10, pp. 451-479, 1979.
  21. Sykes, E. A. and White, C. C. III., "Multiattribute intelligent computer-aided design", IEEE Transactions on Systems, Man and Cybernetics, Vol. 21, No.6, pp. 1498-1511, 1991.