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

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

DOI QR Code

Robust Design of an Automobile Ball Joint Considering the Worst-Case Analysis

차량용 볼조인트의 최악 조건을 고려한 강건 설계

  • Received : 2016.10.18
  • Accepted : 2015.12.26
  • Published : 2017.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

An automobile ball joint is the element for connecting the control arm and the knuckle arm, allowing rotational motion. The ball joint consists of the stud, plug, socket, and seat. These components are assembled through the caulking process that consists of plugging and spinning. In the existing research, the pull-out strength and gap stiffness were calculated, but we did not consider the uncertainties due to the numerical analysis and production. In this study, the uncertainties of material property and tolerance are considered to predict the distributions of pull-out strength and gap stiffness. Also, pull-out strength and gap stiffness are predicted as the a distribution rather than one deterministic value. Furthermore, a robust design applying the Taguchi method is suggested.

Keywords

References

  1. Sin, B.S. "Optimum Design of a Ball Joint for Vehicle," A Thesis for a Master, Dong-A University, Republic of Korea, 2014.
  2. Sin, B.S. and Lee, K.H., "Process Design of a Ball Joint, Considering Caulking and Pull-Out Strength," The Scientific World Journal, Vol. 2014, ID 971679, 2014.
  3. Virtual Motion, Inc., DAFUL 4.1 User's Manual, 2012.
  4. Lee J.K., Lee, C.H., and Bae, D.S., "A Parametric Generalized Coordinate Formulation for Mechanical Joint Elements in Dynamic Systems," Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 228, No. 6, pp. 1063-1076, 2013. https://doi.org/10.1177/0954406213498329
  5. Dassault Systemses Simulia Corp., Abaqus On-Line Help, 2012.
  6. Taguchi, G, "Systems of Experimental Design(Vol. I, II)", Kraus International Publications, New York, USA, 1987.
  7. Phadke, M.S., Quality Engineering Using Robust Design, Prentice Hall, Englewood Cliffs, New Jersey, USA, 1989.
  8. Teruo, M., Taguchi Methods
  9. Park, G.J., Analytic Methods for Design Practice, Springer, London, UK, 2007.
  10. Montgomery, D.C., Design and Analysis of Experiments, 3rdEditon, John Wiley&Sons, Singapore, 1991.
  11. Nair, V. H., "Taguchi's Parameter Design: A Panel Discussion," Technometrics, Vol. 34, No. 2, pp. 127-161, 1992. https://doi.org/10.1080/00401706.1992.10484904
  12. Lee, K. H., "A Robust Structural Design Method Using the Kriging Model to Define the Probability of Design Success," Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 224, No. 2, pp. 379-388, 2010. https://doi.org/10.1243/09544062JMES1736
  13. Kim, K. M., "Optimization of Sheet Metal Forming Process Using Mahalanobis Taguchi System," J. of KSMPE, Vol. 15, No. 1, pp.95-102, 2016
  14. Kim, K. M. and Park, J. C,, "Minimization of Warpage of Injection Molded Parts using Dynamic Robust Design," J. of KSMPE, Vol.14, No. 1, pp.44-50, 2015

Cited by

  1. Tool Wear Rate and Accuracy of Patterns in Micro Prismatic End-milling vol.17, pp.3, 2018, https://doi.org/10.14775/ksmpe.2018.17.3.001
  2. Structural Optimization of an LMU Using Approximate Model vol.17, pp.6, 2018, https://doi.org/10.14775/ksmpe.2018.17.6.075