Research Papers: Hydrodynamic Lubrication

A Design of Coverage Area for Textured Surface of Sliding Journal Bearing Based on Genetic Algorithm

[+] Author and Article Information
Hui Zhang

Key Laboratory of Education Ministry for Modern
Design and Rotor-Bearing System,
Xi'an Jiaotong University,
Xi'an 710049, China
e-mail: zhanghui7@xjtu.edu.cn

Mahshid Hafezi, Guangneng Dong, Yang Liu

Key Laboratory of Education Ministry for Modern
Design and Rotor-Bearing System,
Xi'an Jiaotong University,
Xi'an 710049, China

1Corresponding author.

Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received January 1, 2018; final manuscript received April 9, 2018; published online May 14, 2018. Assoc. Editor: Bart Raeymaekers.

J. Tribol 140(6), 061702 (May 14, 2018) (8 pages) Paper No: TRIB-18-1001; doi: 10.1115/1.4039958 History: Received January 01, 2018; Revised April 09, 2018

This paper aims to improve the tribological performance of journal bearings by optimizing the coverage area of circular microtextures in divergent region of the sleeve. A numerical model is proposed to calculate the friction coefficient and bearing load of textured journal bearings. The surface of the sleeve is divided into rectangular squares. Textures that located at the center of rectangular grids are assumed to be present or absent, marked as 1 and 0, respectively. Afterward, different texture coverage area arrangements are evolved and selected based on the genetic algorithm (GA). The area of semi-elliptical shape is obtained as the novel and preferable textured coverage area design for journal bearings. Influences of width and eccentricity ratio are discussed, which confirm the semimajor and semiminor axes of the semi-elliptical shape of texture coverage area equal to one-third of the circumferential length and half of the width of the journal bearing, respectively.

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Fig. 1

Schematic diagram of a textured journal bearing

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Fig. 2

Geometrical parameters of a circular dimple

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Fig. 3

Rectangular unfolded surface of a journal bearing with possible textures in the noncavitation region

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Fig. 4

Computational flowchart

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Fig. 5

Evolution process of texture distribution on a journal bearing

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Fig. 6

The average fitness (a) and maximum fitness (b) varying with generation

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Fig. 7

Optimized texture distribution

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Fig. 8

Hydrodynamic film pressure map of the journal bearing with a bare sleeve (a), with a half-textured sleeve (b), and with a semi-elliptical shaped textured sleeve (c)

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Fig. 9

Central curves of pressure distribution

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Fig. 10

Barchart of bearing load (a) and friction coefficient (b)

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Fig. 11

Top-view of film pressure distribution for bearings with half-textured sleeve (a) and optimized elliptical textured sleeve (b)

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Fig. 12

Optimized coverage area of textures for bearings with width of 0.01 m (a), 0.014 m (b), and 0.018 m (c)

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Fig. 13

Reduction rate of friction coefficient and increase rate of bearing load for bearing with different widths (a) and eccentricity ratios (b)

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Fig. 14

Optimized coverage area of textures for bearings with eccentricity ratio of 0.053 (a), 0.1 (b), and 0.28 (c)

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Fig. 15

Comparison of tribological performance of the bare surface, the optimized texture coverage area shape, with the texture distribution proposed by the other type of research



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