CFD simulation analysis and experimental study on multilobe hydrodynamic journal bearing

Shankar, Krishna; Muthukumar, Karuppan; Rajiev, R.

doi:10.1063/1.5117979

Cited by 1 publication

(1 citation statement)

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“…Computational fluid dynamics (CFD) are generally used in the industry as a modeling technique to simulate and evaluate the performance of components with fluid mechanics involved, such as hydrodynamic bearings without a need for excessive prototyping and testing [5,[8][9][10][11][12][13][14][15][16][17][18]. Manshoor et al [10] used a 3D CFD simulation model to investigate the performance of thin-layer lubrication in journal bearings.…”

Section: Introductionmentioning

confidence: 99%

Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study

Saberi

Nezhad

2020

Nanomaterials

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Nanofluids have extensive applications in hydrodynamic journal bearings used in heavy industry machinery. Inorganic fullerene-like tungsten disulfide nanoparticles (IF-WS2 NPs) are the most common additive for lubrication purpose due to their excellent mechanical characteristics along with their effect on reducing friction and wear. In this work, a computational simulation approach with discrete phase modeling (DPM) of suspended nanoparticles was used to evaluate the application of the IF-WS2 nanofluid lubricant on load carrying capacity of high-load journal bearings where the normal loads are high, considering the bearing dimensions. For accurate simulation, nanofluid viscosity was calculated considering the aggregation effect of NPs by using scanning electron microscopy (SEM) imaging of the nanofluids. A benchmark study was first performed to assess the model accuracy. Hydrodynamic lubrication was simulated under different nanofluid weigh fractions. The simulated pressure distribution was then employed to determine the load capacity of the bearing. The results show an approximately 20% improvement of load carrying capacity at 5% weight fraction of WS2-oil nanofluid.

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