2019
DOI: 10.1177/1350650119878093
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Numerical study and parameter optimization of partial journal bearing using MOPSO algorithm

Abstract: In this paper, multi-objective particle swarm optimization method is developed for optimizing thermo-hydrodynamic journal bearings. This paper focuses on the use of multi-objective particle swarm optimization algorithm with a combination of the thermal hydrodynamic governing equations of the fluid film (i.e. momentum and energy equations) to optimize hydrodynamic partial pad journal bearings and compare with other articles. The governing equations are solved by the central difference method with a successive o… Show more

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Cited by 3 publications
(4 citation statements)
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“…Researchers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] observed the deviations in the theoretical and experimental data of the static performance of journal bearing. Practical changes in the lubrication were proposed by researchers to improve the performance of journal bearings.…”
Section: Introductionmentioning
confidence: 99%
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“…Researchers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] observed the deviations in the theoretical and experimental data of the static performance of journal bearing. Practical changes in the lubrication were proposed by researchers to improve the performance of journal bearings.…”
Section: Introductionmentioning
confidence: 99%
“…The rotating journal raises the temperature of working lubricants and the higher temperature may lead to deformation of the bearing. Hence researchers 1217 studied the effect of temperature on the static performance of partial journal bearing, in terms of load capacity, attitude angle for various arc angle bearings using variational approach and finite difference method. Safar and Szeri 12 computed the performance of 120° partial bearing.…”
Section: Introductionmentioning
confidence: 99%
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“…The thermal behaviour of partial journal bearings was presented by Yu and Szevi (1975) for different arc angles and bearing aspect ratios. The swarm optimization method is efficiently applied by Mikaeeli et al (2020) in computing the static performance of partial journal bearings. The effect of temperature and flexibility of the journal on the performance of a 170° partial arc bearing was reported by Shamal et al (2021).…”
Section: Introductionmentioning
confidence: 99%