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Optimal combination of design parameters for improving the kinematics characteristics of a midsize truck through design of experiment

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Abstract

This paper optimizes the combination of design parameters for improving the kinematic characteristics of a midsize truck using both design of experiment and computer simulation. A computational model of the front suspension and steering system of a midsize truck is developed for analyzing kinematic and compliance characteristics. A taper leaf spring is modeled as a flexible body using finite elements. A bump mode test is performed to validate the reliability of the developed computational model. Mean absolute values of the toe angle and wheel base change are used as objective functions. Modifiable hard points are selected as design parameters. An optimal combination of design parameters for improving kinematic characteristics is suggested based on analyses of variance and factor effects using a table of orthogonal arrays.

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References

  1. A. Ichikawa, H. Shinjo, T. Shima and Y. Susuki, Practical application of CAE for truck controllability and stability, SAE paper 912530 (1991) 673–681.

    Google Scholar 

  2. I. D. Moon, H. J. Kwon and C. Y. Oh, Development of a computer model for the turning maneuver analysis of a heavy truck, J. of KSAE, 8(4) (2000) 121–129.

    Google Scholar 

  3. I. D. Moon and C. Y. Oh, A study on the estimation of the ride quality of a large-sized truck using a computer model, J. of KSME, 25(12) (2001) 2048–2055.

    Google Scholar 

  4. I. D. Moon and C. Y. Oh, A study on the effects of hysteretic characteristics of leaf springs on handling of a large-sized truck, J. of KSAE, 9(5) (2001) 157–164.

    Google Scholar 

  5. S. L. Haas, Ranking tires for heavy truck steering feel performance using a simulation model, Tire Science and Technology, 34(1) (2006) 64–82.

    Article  MathSciNet  Google Scholar 

  6. T. W. Park, H. J. Yim, G. H. Lee, C. J. Park and I. H. Jeong, Development of mini-bus ride analysis method, J. of KSAE, 7(1) (1999) 149–154.

    Google Scholar 

  7. I. D. Moon and C. Y. Oh, Development of a computer model of a large-sized truck considering the frame as a flexible body, J. of KSAE, 11(6) (2003) 197–204.

    Google Scholar 

  8. I. D. Moon, H. S. Yoon and C. Y. Oh, A flexible multi-body dynamic model for analyzing the hysteretic characteristics and the dynamic stress of a taper leaf spring, J. of Mechanical Science and Technology, 20(10) (2006) 1638–1645.

    Article  Google Scholar 

  9. I. D. Moon, C. Y. Oh and S. H. Oh, The effects of the mounted method of frame of a large truck on handling performance, J. of KSPE, 21(8) (2004) 112–119.

    Google Scholar 

  10. I. D. Moon and C. Y. Oh, Computational model for analyzing the kinematics and compliance characteristics of a commercial vehicle’s front suspension system, International Journal of Automotive Technology, 13(2) (2012) 279–284.

    Article  Google Scholar 

  11. I. D. Moon, D. H. Lee and C. Y. Oh, A study on optimal combination of design parameters for improving handling performance of a large truck using design of experiments, J. of KSME, 28(6) (2004) 799–806.

    Google Scholar 

  12. S. H. Ryu and K. Choi, A study on the optimum design if the front structure of heavy duty truck cab using sensitivity analysis and taguchi method, KSAE 2006 Spring Conference, (2006) 2006–2012.

    Google Scholar 

  13. MSC.ADAMS, MacNeal-Schwendler, Inc., Oakdale, CA, U.S.A. (2001).

  14. MINITAB, Minitab, Inc., State College, PA, U.S.A. (2005).

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Authors and Affiliations

  1. KDC, 205 GNATC, 676 Bangji-ri, Sanam, Sachen, Gyungnam, 664-942, Korea

    Bo Myung Kim

  2. Dept. of Bio-Nano System Engineering, Chonbuk National University, 664-14 1-Ga, Deokjin-Dong, Deokjin-Gu, Jeonju, Jeonbuk, 561-756, Korea

    Jae Won Kim

  3. Vehicle Advanced Team, Corporate R&D Division, Hyundai-Kia Motors, 772-1 Jangduk-Dong, Hwaseong, Gyeonggi, 445-706, Korea

    Il Dong Moon

  4. Div. of Mechanical System Engineering, Chonbuk National University, 664-14 1-Ga, Deokjin-Dong, Deokjin-Gu, Jeonju, Jeonbuk, 561-756, Korea

    Chae Youn Oh

Authors
  1. Bo Myung Kim
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  2. Jae Won Kim
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  3. Il Dong Moon
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  4. Chae Youn Oh
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Corresponding author

Correspondence to Chae Youn Oh.

Additional information

Recommended by Associate Editor Gang-Won Jang

Bo Myung Kim received his B.S. degree in Aerospace Engineering and M.S. degree in Precision Mechanical Engineering from Chonbuk National University, Korea, in 2003 and 2009, respectively. He is currently a researcher at KDC Co. in Sacheon, Korea. Mr. KIM’s research interests are in the area of vehicle dynamics.

Chae Youn Oh received his B.S. degree in Mechanical Engineering from Chonbuk National University, Korea, in 1982. He then received his M.S. degree and Ph.D. in Mechanical Engineering from Iowa State University, U.S.A., in 1987 and 1990, respectively. He is currently a Professor at the Division of Mechanical System Engineering at Chonbuk National University in Jeonju, Korea. Dr. OH’s research interests are in the area of vehicle dynamics and haptics.

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Kim, B.M., Kim, J.W., Moon, I.D. et al. Optimal combination of design parameters for improving the kinematics characteristics of a midsize truck through design of experiment. J Mech Sci Technol 28, 963–969 (2014). https://doi.org/10.1007/s12206-013-1167-7

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  • DOI: https://doi.org/10.1007/s12206-013-1167-7

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