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A study on the optimization method for a multi-body system using the response surface analysis

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Abstract

An optimization method, which minimizes the characteristic value of a system using response surface analysis, is presented. Plackett-Burman design is used as a screening method. Using the response surface analysis, second order recursive model function is estimated as an objective function. To verify the reliability of the model function, an F-test based on the analysis of variances table is used. Lastly, the sequential quadratic-programming method is used to find the value of design parameters. By applying the preceding procedure to a multi-body dynamic model, the optimization process presented in this study is verified.

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References

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Authors and Affiliations

  1. Graduate school of Mechanical Engineering, Ajou University, Suwon, 443-749, Korea

    Sung-Pil Jung, Kab-Jin Jun, Ji-Won Yoon & Soo-Ho Lee

  2. Department of Mechanical Engineering, Ajou University, Suwon, 443-749, Korea

    Tae-Won Park

  3. Body Chassis Reliability Division, Korea Automotive Technology Institute, Chonan, 330-912, Korea

    Won-Sun Chung

Authors
  1. Sung-Pil Jung
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  2. Tae-Won Park
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  3. Kab-Jin Jun
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  4. Ji-Won Yoon
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  5. Soo-Ho Lee
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  6. Won-Sun Chung
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Corresponding author

Correspondence to Tae-Won Park.

Additional information

Sung Pil Jung received a B.S. degree in Mechanical Engineering from Ajou University in 2006. Currently he is a Ph.D candidate at Ajou University in Suwon, Korea. Mr. Jung’s research interests are in the area of multi-body & structural dynamics, optimization and computer aided engineering.

Tae Won Park received a B.S. degree in Mechanical Engineering from Seoul University. He then went on to receive his M.S. and Ph.D. degrees from the University of Iowa. Dr. Park is currently a Professor at the School of Mechanical Engineering at Ajou University in Suwon, Korea.

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Jung, SP., Park, TW., Jun, KJ. et al. A study on the optimization method for a multi-body system using the response surface analysis. J Mech Sci Technol 23, 950–953 (2009). https://doi.org/10.1007/s12206-009-0319-2

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  • DOI: https://doi.org/10.1007/s12206-009-0319-2

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