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An Intelligent Assessment Method of Contact Fatigue Reliability for Rolling Bearing under EHL

Volume 13, Number 5, September 2017 - Paper 4  - pp. 587-597
DOI: 10.23940/ijpe.17.05.p4.587597

Chunyu Lua,b,* and Shaojun Liua,b

aSchool of Mechanical and Electrical Engineering, Central South University, Changsha 410083, CHINA
bState Key Laboratory for High Performance Complex Manufacturing (Central South University), Changsha 410083, CHINA

(Submitted on June 18, 2017; Revised on July 14, 2017; Accepted on August 2, 2017)


For the rolling bearing with expensive test cost or of inconvenient test, in order to efficiently and accurately analyze its contact fatigue reliability under elliptical contact elastohydrodynamic lubrication (EHL), an intelligent reliability assessment method is proposed. Contact stress under EHL is obtained by the mapping of oil film pressure, gotten by finite difference method (FDM), in the Hertz contact zone of the finite element model of rolling bearing. Considering the randomness of the EHL, material and fatigue strength correction factors, the limit state function is established by using artificial neural network (ANN). For finding the optimal reliability index and the design point, genetic algorithm (GA) based on normalized real number encoding is employed and the two adjusting factors are introduced into fitness function to resolve convergence and stability problem. Reliability sensitivity analysis is achieved by the advanced first-order second-moment (AFOSM) method. Compared with the traditional Monte Carlo method (MCM), the proposed intelligent assessment method could embody the influence of EHL on contact fatigue reliability and has higher calculation efficiency and a wonderful global search capability in the whole optimization room.


References: 20

    1. S. Chatterjee and S. Bandopadhysy, “Reliability Estimation Using A Genetic Algorithm-based Artificial Neural Network: An Application to A Load-haul-dump Machine”, Expert Systems with Applications, vol. 39, no. 12, pp. 10943-10951,2012.
    2. P. H. Dawson, “Effect of Metallic Contact on The Pitting of Lubricated Rolling Surface”, Journal of Mechanical Engineering Science, vol. 7, no. 1, pp. 147-155, 1962.
    3. X. H. Gao, X. D. Huang and R. J. Hong, “A Rolling Contact Fatigue Reliability Evaluation Method and Its Application to A Slewing Bearing”, Journal of Tribology, vol. 134, no. 1, pp. 1-7, 2012.
    4. J. S. Gui, H. Liu and H. G. Kang, “An Intelligent Method for Structure Reliability Analysis Based on Response Surface”, China Ocean Engineering, vol. 18, no. 4, pp. 653-661, 2004.
    5. B. Hariprasad, P. Bhattacharjee and A. Venugopal, “Prediction of Vehicle Reliability Using ANN”, International Journal of Performability Engineering, vol. 8, no. 3, pp. 321-329, 2012.
    6. Y. Hu, S. J. Liu and S. Ding, “Application of Response Surface Method for Contact Fatigue Reliability Analysis of Spur Gear with Consideration of EHL”, Journal of Central South University, vol. 22, no. 7, pp. 2549-2556, 2015.
    7. P. Huang, “Numerical Calculation of Elastohydrodynamic Lubrication: Methods and Programs”, Tsinghua University Press, 2015.
    8. D. Y. Jiang, T.Y. Wang and Y.X. Jiang, “Reliability Analysis of Motor Spindle Bearing Based on Operating Condition”, IEEE Computer Society, vol. 2, pp. 989-992, 2011.
    9. C. Jin, “An Artificial Neural Network Based Genetic Algorithm for Estimating the Reliability of Long Span Suspension Bridges”, Finite Element in Analysis and Design, vol. 46, no. 8, pp. 658-667, 2010.
    10. H. K. Li, Z. X. Zhang and X. G. Li, “Reliability Estimation Based on Moving Average and State Space Model for Rolling Element Bearing”, Journal of Shanghai Jiao tong University (Science), vol. 20, no. 3, pp. 317-321,2015.
    11. J. Liu and Y. Li. “An Improved Adaptive Response Surface Method for Structural Reliability Analysis”, Journal of Central South University, vol. 19, no. 4, pp. 1148-1154,2012.
    12. J. Malinowski, “A Monte Carlo Method for Estimating Reliability Parameters of A Complex Repairable Technical System with Inter-component Dependencies”, IEEE Transactions on reliability, vol. 62, no. 1, pp.256 -266,2013.
    13. V. Monfared, “Contact Stress Analysis in Rolling Bodies by Finite Element Method (FEM) Statically”, Journal of Mechical Engineering and Automation, vol. 2, no. 2, pp. 12-16,2012.
    14. T. Most and T. Knabe, “Reliability Analysis of Bearing Failure Problem Considering Uncertain Stochastic Parameters”, Computers and Geotechnics, vol. 37, no. 3, pp. 299-310,2010.
    15. R. Sehgal, O. P. Gandhi and S. Angra, “Reliability Evaluation and Selection of Rolling Element Bearings”, Engineering and System Safety, vol. 68, pp. 39-52, 2000.
    16. A. A. Shinde, R. G. Desavale and S.G. Kumbbar, “Theoretical and Experimental Studies on Vibrations Produced by Defects in Doubble Row Ball Bearing Using Response Surface Method”, International Journal of Research in Engineering and Technology, vol. 3, no. 7, pp. 140-145, 2014.
    17. Z. L. Sun and L. Y. Chen, “Theory and Method of Utility Mechanical Reliability Design”, Science Press, 2003.
    18. S. Z. Wen, P. R. Yang, “Elastohydrodynamic Lubrication”, Tsinghua University Press, 1992.
    19. S. M. Zaharia and C. O. Morariu, “Simulation and Analysis of the Milling Machines Reliability Using the Monte Carlo Method”, Research &Science Today, vol.2, no. 10, pp. 108-114,2015.
    20. E. V. Zaretsky, L. B. Sibley and W.J. Anderson, “The Role of Elastohydrodynamic Lubrication in Rolling Contact Fatigue”, Journal of Fluids Engineering, vol. 85, no. 3, pp. 439-477,1963.



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