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Research Papers: Hydrodynamic Lubrication

Numerical Analysis on the Factors Affecting the Hydrodynamic Performance for the Parallel Surfaces With Microtextures

[+] Author and Article Information
Lei Wang, Hui Wang, Tianbao Ma

State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China

Wenzhong Wang

School of Mechanical Vehicular Engineering,
Beijing Institute of Technology,
Beijing 100081, China

Yuanzhong Hu

State Key Laboratory of Tribology,
Tsinghua University,
Beijing 100084, China
e-mail: huyz@mail.tsinghua.edu.cn

1Corresponding author.

Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received August 14, 2012; final manuscript received November 12, 2013; published online January 15, 2014. Assoc. Editor: Prof. C. Fred Higgs III.

J. Tribol 136(2), 021702 (Jan 15, 2014) (8 pages) Paper No: TRIB-12-1128; doi: 10.1115/1.4026060 History: Received August 14, 2012; Revised November 12, 2013

A numerical analysis on the factors affecting the hydrodynamic performance for parallel surfaces with microtextures is presented in this paper. The semianalytical method and fast Fourier transform technique are implemented in the analysis. The numerical procedure is validated by comparing the results from the present model with the analytical solutions for the lubrication problem in an infinitewide sliding bearing with step-shaped textures. The numerical results show that the hydrodynamic performance can be greatly affected by the factors, such as the boundary conditions, cavitation pressure, microtextures, surface deformation, etc. This study can be of a great help for better understanding the mechanism of hydrodynamic pressure generated between parallel surfaces and realistically evaluating the improvement of tribological performance caused by textures.

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Figures

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Fig. 1

The flow chart of the numerical procedure

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Fig. 2

Representation of the topography of lubricated surfaces 1 and 2 in (a) and the comparison of the numerical solution and the analytical solution in (b)

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Fig. 3

Illustration of topography of surface 1 (a) and fluid pressure (b) after considering the deformation (a) of lubricated surface 1

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Fig. 4

The distribution of lubrication pressure under different boundary conditions

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Fig. 5

The variation of fluid pressure with different cavitation pressures

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Fig. 6

Ratio of load-carrying capacity varies with cavitation pressure

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Fig. 7

(a) Contour plot of surface 1 with hemispherical microtextures; illustrations of the initial approach of lubricated surfaces for the case of dent-shaped textures in (b) and for the case of bump-shaped textures in (c)

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Fig. 8

The distributions of gap and pressure along x-axis in the plane y = 0 under different surface textures

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Fig. 9

Illustrations of the cavitation area for the case of dent-shaped textures (a) and for the case of bump-shaped textures (b)

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Fig. 10

Surface deformation, gap height, and fluid pressure vary with elastic modulus

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Fig. 11

Illustrations of cavitation areas among different elastic modulus (a) infinity; (b) 800 GPa; (c) 400 GPa; (d) 200 GPa; and (e) 100 GPa

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Fig. 12

The load-carrying capacity under different elastic modulus conditions

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Fig. 13

The distributions of surface deformation, gap height and fluid pressure along x axis in the plane y = 0 due to the combination of surface deformation and subambient cavitation pressure

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