A stochastic model for predicting the evolutions of wear profile and surface height probability density function (PDF) of initial line contacts during running-in under mixed lubrication condition is presented. A numerical approach was developed on the basis of stochastic solution of mixed lubrication, which combined the Patir and Cheng's average flow model for calculation of the hydrodynamic pressure and the Kogut and Etsion's (KE) rough surface contact model for calculation of the asperity contact pressure. The total friction force was assumed to be the sum of the boundary friction at the contact asperities and the integration of viscous shear stress in the hydrodynamic region. The wear depth on the contact region was estimated according to the modified Archard's wear model using the asperity contact pressure. Sugimura's wear model was modified and used to link the wear particle size distribution and the variation of surface height PDF during wear. In the wear process, the variations of profile and surface height PDF of initial line contacts were calculated step by step in time, and the pressure distribution, friction coefficient, and wear rate were updated consequently. The effect of size distribution of wear particles on the wear process was numerically investigated, and the simulation results showed that the lubrication condition in which small wear particles are generated from the asperity contact region is beneficial to reduce friction coefficient and wear rate, and leads to a better steady mixed lubrication condition.
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November 2018
Research-Article
Numerical Prediction of Surface Wear and Roughness Parameters During Running-In for Line Contacts Under Mixed Lubrication
Yazhao Zhang,
Yazhao Zhang
State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: zhang-yz14@mails.tsinghua.edu.cn
Tsinghua University,
Beijing 100084, China
e-mail: zhang-yz14@mails.tsinghua.edu.cn
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Alexander Kovalev,
Alexander Kovalev
State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: akovalev@tsinghua.edu.cn
Tsinghua University,
Beijing 100084, China
e-mail: akovalev@tsinghua.edu.cn
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Noriyuki Hayashi,
Noriyuki Hayashi
Machinery Research Department,
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
Nagasaki 851-0392, Japan
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
5-717-1
, Fukahori-machi,Nagasaki 851-0392, Japan
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Kensuke Nishiura,
Kensuke Nishiura
Machinery Research Department,
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
Nagasaki 851-0392, Japan
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
5-717-1
, Fukahori-machi,Nagasaki 851-0392, Japan
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Yonggang Meng
Yonggang Meng
State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: mengyg@tsinghua.edu.cn
Tsinghua University,
Beijing 100084, China
e-mail: mengyg@tsinghua.edu.cn
Search for other works by this author on:
Yazhao Zhang
State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: zhang-yz14@mails.tsinghua.edu.cn
Tsinghua University,
Beijing 100084, China
e-mail: zhang-yz14@mails.tsinghua.edu.cn
Alexander Kovalev
State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: akovalev@tsinghua.edu.cn
Tsinghua University,
Beijing 100084, China
e-mail: akovalev@tsinghua.edu.cn
Noriyuki Hayashi
Machinery Research Department,
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
Nagasaki 851-0392, Japan
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
5-717-1
, Fukahori-machi,Nagasaki 851-0392, Japan
Kensuke Nishiura
Machinery Research Department,
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
Nagasaki 851-0392, Japan
Research & Innovation Center,
Mitsubishi Heavy Industries Ltd.,
5-717-1
, Fukahori-machi,Nagasaki 851-0392, Japan
Yonggang Meng
State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: mengyg@tsinghua.edu.cn
Tsinghua University,
Beijing 100084, China
e-mail: mengyg@tsinghua.edu.cn
1Corresponding author.
Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received November 8, 2017; final manuscript received March 13, 2018; published online May 7, 2018. Assoc. Editor: Wang-Long Li.
J. Tribol. Nov 2018, 140(6): 061501 (13 pages)
Published Online: May 7, 2018
Article history
Received:
November 8, 2017
Revised:
March 13, 2018
Citation
Zhang, Y., Kovalev, A., Hayashi, N., Nishiura, K., and Meng, Y. (May 7, 2018). "Numerical Prediction of Surface Wear and Roughness Parameters During Running-In for Line Contacts Under Mixed Lubrication." ASME. J. Tribol. November 2018; 140(6): 061501. https://doi.org/10.1115/1.4039867
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