Multibody System Dynamics

, Volume 2, Issue 2, pp 145–168 | Cite as

Tolerance Optimization for Mechanisms with Lubricated Joints

  • J.-H. Choi
  • S.J. Lee
  • D.-H. Choi
Article

Abstract

This paper addresses an analytical approach to tolerance optimization for planar mechanisms with lubricated joints based on mechanical error analysis. The mobility method is applied to consider the lubrication effects at joints and planar mechanisms are stochastically defined by using the clearance vector model for mechanical error analysis. The uncertainties considered in the analysis are tolerances on link lengths and radial clearances and these are selected as design variables. To show the validity of the proposed method for mechanical error analysis, it is applied to two examples, and the results obtained are compared with those of Monte Carlo simulations. Based on the mechanical error analysis, tolerance optimizations are applied to the examples.

tolerance clearance optimization mechanical error mechanism lubricated joint 

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References

  1. 1.
    Hartenberg, R.S. and Denavit, J., Kinematic Synthesis of Linkages, McGraw-Hill, New York, 1964, 316–319.Google Scholar
  2. 2.
    Garrett, R.E. and Hall, A.S., Jr., ‘Effect of tolerance and clearance in linkage design’, ASME Journal of Engineering for Industry, 1969, 198–202.Google Scholar
  3. 3.
    Dhande, S.G. and Chakraborty, J., ‘Analysis and synthesis of mechanical error in linkages – A stochastic approach’, ASME Journal of Engineering for Industry 95, 1973, 672–676.Google Scholar
  4. 4.
    Mallik, A.K. and Dhande, S.G., ‘Analysis and synthesis of mechanical error in path-generating linkages using a stochastic approach’, Mechanism and Machine Theory 22(2), 1987, 115–123.Google Scholar
  5. 5.
    Rhyu, J.H. and Kwak, B.M., ‘Optimal stochastic design of four-bar mechanisms for tolerance and clearance’, ASME Journal of Mechanisms, Transmissions, and Automation in Design 110, 1988, 255–262.Google Scholar
  6. 6.
    Lee, S.J. and Gilmore, B.J., ‘The determination of the probabilistic properties of velocities and accelerations in kinematic chains with uncertainty’, ASME Journal of Mechanical Design 113, 1991, 84–90.Google Scholar
  7. 7.
    Lee, S.J., Gilmore, B.J. and Ogot, M.M., ‘Dimensional tolerance allocation of stochastic dynamic mechanical systems through performance and sensitivity analysis’, ASME Journal of Mechanical Design 115, 1993, 392–402.Google Scholar
  8. 8.
    Choi, J.H., Lee, S.J. and Choi, D.H., ‘Mechanical error analysis in planar linkages due to tolerances’, Transactions of the KSME 21, 1997, 663–672.Google Scholar
  9. 9.
    Choi, J.H., Lee, S.J. and Choi, D.H., ‘Mechanical error analysis and tolerance design of a four-bar path generator with lubricated joints’, Transactions of the KSME 21, 1997, 327–336.Google Scholar
  10. 10.
    Rogers, R.J. and Andrews, G.C., ‘Dynamic simulation of planar mechanical systems with lubricated bearing clearances using vector-network methods’, ASME Journal of Engineering for Industry 99, 1977, 131–137.Google Scholar
  11. 11.
    Goenka, P.K., ‘Analytical curve fits for solution parameters of dynamically loaded journal bearings’, ASME Journal of Tribology 106, 1984, 421–426.Google Scholar
  12. 12.
    Booker, J.F., ‘Dynamically loaded journal bearings: Mobility method of solution’, ASME Journal of Basic Engineering, 1965, 537–546.Google Scholar
  13. 13.
    Booker, J.F., ‘Dynamically loaded journal bearings: Numerical application of the mobility method’, ASME Journal of Lubrication Technology 93, 1971, 168–176.Google Scholar
  14. 14.
    Ang, A.H.-S. and Tang, W.H., Probability Concepts in Engineering Planning and Design, Vol I, Basic Principles, John Wiley & Sons, New York, 1984.Google Scholar
  15. 15.
    Kapur, K.C. and Lamberson, R. L., Reliability in Engineering Design, Wiley, New York, 1977.Google Scholar
  16. 16.
    Drozda, T.J. and Wick, C., Tool and Manufacturing Engineers Handbook, Vol. I, Machining, 4th ed., SME, New York, 1983.Google Scholar
  17. 17.
    Jamieson, A., Introduction to Quality Control, Reston Publishing, Englewood Cliffs, NJ, 1982.Google Scholar
  18. 18.
    Vanderplaats, G.N., Numerical Optimization Techniques for Engineering Design, McGraw-Hill, New York, 1984.Google Scholar
  19. 19.
    Ang, A.H.-S. and Tang, W.H., Probability Concepts in Engineering Planning and Design, Vol. II, Decision, Risk, and Reliability, John Wiley & Sons, New York, 1984.Google Scholar

Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • J.-H. Choi
  • S.J. Lee
  • D.-H. Choi

There are no affiliations available

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