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

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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Optimization of Sheet Metal Forming Process Based on Two-Attribute Robust Design Methodology

2속성 강건 설계를 이용한 박판성형공정의 최적화

  • Kim, Kyung-Mo (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Yin, Jeong-Je (Dept. of Mechanical Engineering Design, Induk Univ.) ;
  • Park, Jong-Cheon (Dept. of Mechanical Engineering, Kumoh National Institute of Technology)
  • 김경모 (금오공과대학교 산업공학과) ;
  • 인정제 (인덕대학교 기계설계학과) ;
  • 박종천 (금오공과대학교 기계공학과)
  • Received : 2013.12.26
  • Accepted : 2014.03.14
  • Published : 2014.04.30
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Abstract

Fractures and wrinkles are two major defects frequently found in the sheet metal forming process. The process has several noise factors that cannot be ignored when determining the optimal process conditions. Therefore, without any countermeasures against noise, attempts to reduce defects through optimal design methods have often led to failure. In this study, a new and robust design methodology that can reduce the possibility of formation of fractures and wrinkles is presented using decision-making theory. A two-attribute value function is presented to form the design metric for the sheet metal forming process. A modified complex method is adopted to isolate the optimal robust design variables. One of the major limitations of the traditional robust design methodology, which is based on an orthogonal array experiment, is that the values of the optimal design variables have to coincide with one of the experimental levels. As this restriction is eliminated in the complex method, a better solution can be expected. The procedure of the proposed method is illustrated through a robust design of the sheet metal forming process of a side member of an automobile body.

Keywords

References

  1. Li, Y. Q., Cui, Z. S., Ruan, X. Y., and Zhang, D. J., "Application of Six Sigma Robust Optimization in Sheet Metal Forming," Numisheet, pp. 819-824, 2005.
  2. Strano, M., "Robustness Evaluation and Tolerance Prediction for a Stamping Process with Springback Calculation by the FEM," Numisheet, pp. 266-271, 2005.
  3. Kim, K., Yin, J.J., and Suh, Y.S., "Process optimization of Sheet Metal Forming Using Operating Window," Proceedings of the ASME IDETC/CIE, pp. 209-216, 2009.
  4. Kim, K., and J. J. Yin, "Optimization of Sheet Metal Forming Process by Using Decision-Making Theory", J. of KSMPE, Vol. 11 No. 2, pp. 125-136, 2012.
  5. Buranathiti, T., Cao, J., Xia, Z. C,. and Chen, W., "Probabilistic Design in a Sheet Metal Stamping Process under Failure Analysis," Numisheet, pp. 867-872, 2005.
  6. Chen, P. and Koc, M., "Simulation of springback variation in forming of advanced high strength steels," Journal of Material Processing Technology, Vol. 190 No. 1, pp. 189-198, 2007. https://doi.org/10.1016/j.jmatprotec.2007.02.046
  7. Mullerschon, H., Roux, W., Lorenz, D., and Roll, K., "Stochastic Analysis of Uncertainties for Metal Forming Processes with LS-OPT," Numisheet, pp. 819-828, 2008.
  8. Souza, T.. and Rolfe, B, "Multivariate modeling of variability in sheet metal forming", Journal of Materials Processing Technology, Vol. 203 No. 1, pp. 1-12, 2008. https://doi.org/10.1016/j.jmatprotec.2007.09.075
  9. 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 No. 2, pp. 152-161, 2009. https://doi.org/10.1016/j.ress.2008.02.024
  10. 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. https://doi.org/10.1016/j.commatsci.2007.07.014
  11. Keeney, R. L. and Raiffa, H., "Decisions with Multiple Objectives : Preferences and Value Tradeoffs", John Wiley & Sons Inc., NY, pp. 282-343, 1993.
  12. Yao, D., "Direct Search-Based Automatic Minimization of Warpage And Weldlines in Injection Molded Parts", Master's Thesis, U. of Massachusetts, MA, pp. 40-88, 1998.
  13. Box, G. E. P. and Liu, P. Y. T., "Statistics as a Catalyst to Learning by Scientific Method. Part II-A Discussion", Journal of Quality Technology, Vol. 31 No. 1, pp. 16-20, 1999.

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