|Table of Contents|

[1] Lu Chunyu, Liu Shaojun,. A fatigue life prediction method of rolling bearingunder elliptical contact elastohydrodynamic lubrication [J]. Journal of Southeast University (English Edition), 2017, 33 (1): 46-52. [doi:10.3969/j.issn.1003-7985.2017.01.008]

A fatigue life prediction method of rolling bearingunder elliptical contact elastohydrodynamic lubrication()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2017 1
Research Field:
Mechanical Engineering
Publishing date:


A fatigue life prediction method of rolling bearingunder elliptical contact elastohydrodynamic lubrication
Lu Chunyu Liu Shaojun
School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China
rolling bearing 3-parameter Weibull distribution elastohydrodynamic lubrication(EHL) fatigue strength contact fatigue life
In order to more accurately predict the contact fatigue life of rolling bearing, a prediction method of fatigue life of rolling bearing is proposed based on elastohydrodynamic lubrication(EHL), the 3-parameter Weibull distribution and fatigue strength. First, the contact stress considering elliptical EHL is obtained by mapping film pressure onto the Hertz zone. Then, the basic strength model of rolling bearing based on the 3-parameter Weibull distribution is deduced by the series connection reliability theory. Considering the effect of the type of stress, variation of shape and fluctuation of load, the mathematical models of the P-S-N curve of the minimum life and the characteristic life for rolling bearing are established, respectively, and thus the prediction model of fatigue life of rolling bearing based on the 3-parameter Weibull distribution and fatigue strength is further deduced. Finally, the contact fatigue life obtained by the proposed method and the latest international standard(ISO281: 2007)about the fatigue life prediction of rolling bearing are compared with those obtained by the statistical method. Results show that the proposed prediction method is effective and its relative error is smaller than that of the latest international standard(ISO281: 2007)with reliability R> 0.93.


[1] Zhu D X, Liu H Z. Reliability evaluation of high-speed train bearing with minimum samples [J]. Journal of Central South University(Science and Technology), 2015, 44(3): 963-969.(in Chinese)
[2] Zhu L L, Lin S M, Ji X M. Research and analysis of development of life calculation method for rolling bearing[J]. Journal of Harbin Bearing, 2014, 35(3): 3-6.(in Chinese)
[3] Lundberg G, Palmgren A. Dynamic capacity of rolling bearings[J/OL]. Acta Polytech Mech Eng, 1947. https://www.researchgate.net/publication/284116608_Dynamic_capacity_of_rolling_bearings.
[4] Ioannides E, Harris T A. A new fatigue life model for rolling bearing[J]. ASME Journal of Tribology, 1985, 107: 367-378. DOI:10.1115/1.3261082.
[5] Tallian T E. A data-fitted rolling bearing life prediction model—Part Ⅲ: Parametric study, comparison to published models and engineering review[J]. Tribology Transactions, 1996, 39(2): 269-275. DOI:10.1080/10402009608983528.
[6] Liu J Y, Tallian T E, McCool J I. Dependence of bearing fatigue life on film thickness to surface roughness ratio [J]. Tribology Transactions, 1975, 18(2): 144-152. DOI: 10.1080/05698197508982757.
[7] Zhang Y Q, Tan Q C, Li J G, et al. Fatigur life of raper roller bearings in drive rear axle main gear reducer [J]. Advanced Materials Research, 2012, 510(7): 112-116. DOI: 10.4028/www.scientific.net/AMR.510. 112.
[8] Potocnik R, Goncz P, Flasker J, et al. Fatigue life of double row slewing ball bearing with irregular geometry [J]. Procedia Engineering, 2010, 2(1): 1877-1886. DOI: 10.1016/j.proeng.2010.03. 202.
[9] Yu W, Harris T A. A new stress-based fatigue life model for ball bearings[J]. Tribology Transactions, 2001, 44(1): 11-18. DOI: 10.1080/10402000108982420.
[10] Yin F L, Wang Y S, Zhang C H, et al. An improved parameter estimation method for three-parameter Weibull distribution in the life analysis of rolling bearing [J]. Advanced Materials Research, 2012, 569:442-446. DOI: 10.4028/www.scientific.net/AMR.569.442.
[11] Feng Y, Huang X D, Chen J, et al. Residual life prediction of large-size slewing bearings based on small-sample test [J]. Journal of Central South University(Science and Technology), 2015, 46(9): 3252-3259.(in Chinese)
[12] Shigeo S. A new life theory for rolling bearings — by linkage between rolling contact fatigue and structural fatigue [J]. Tribology Transactions, 2012, 55(5): 558-570. DOI: org/10.1080/10402004.201281342.
[13] Shimizu S, Tsuchiya K, Tosha K. Probabilistic stress-life(P-S-N)study on bearing steel using alternating torsion life test [J]. Tribology Transactions, 2009, 52(6): 807-816. DOI: 10.1080/10402000903125345.
[14] Zhang J J, Wang Q C. Study on reliability model of automobile wheel hun-bearing [J]. Mechanical & Electrical Engineering Magazine, 2009, 26(9): 94-96.(in Chinese)
[15] Zhao S B. Anti-fatigue design[M]. Beijing: China Machine Press, 1994: 64-72.(in Chinese)
[16] Sun Z L, Chen L Y. Reliability theory and method in practical mechanism[M]. Beiijng: Science Press, 2003:89-93.(in Chinese)
[17] Richart F E, Newmark N M. A hypothesis for the determination of cumulative damage in fatigue [J]. Australian Family Physician, 2015, 41(7):523-527.
[18] Zhao G X, Li D H. Weibull distribution and computer processing of experiment data for rolling bearing[J]. Mechanical Development, 1998(2): 52-55.(in Chinese)


Biographies: Lu Chunyu(1980—), male, graduate; Liu Shaojun(corresponding author), male, doctor, professor, liushaojun@csu.edu.cn.
Foundation item: The National Defense Advance Research Program(No. 81302XXX).
Citation: Lu Chunyu, Liu Shaojun. A fatigue life prediction method of rolling bearing under elliptical contact elastohydrodynamic lubrication[J].Journal of Southeast University(English Edition), 2017, 33(1):46-52.DOI:10.3969/j.issn.1003-7985.2017.01.008.
Last Update: 2017-03-20