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Numerical simulation of the lubricant-solid interface using the multigrid method.

Patel, R., Khan, Z., Bakolas, V. and Saeed, A., 2023. Numerical simulation of the lubricant-solid interface using the multigrid method. Lubricants, 11 (6), 233.

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Official URL: https://www.mdpi.com/journal/lubricants

DOI: 10.3390/lubricants11060233

Abstract

Solid asperity interactions are common and inevitable under severe loading conditions for any lubricated contact. Heavy-duty machine components (gear, bearings etc.) generally operate under Mixed Lubrication (ML), where uneven surface features contact each other when generated fluid pressure is not enough to support the external load. The Reynolds equation is commonly used to simulate smooth lubricated contacts numerically. In rough lubricated interfaces where opposite surface asperities make contact, the Reynolds equation alone cannot accurately predict pressure using the traditional numerical simulation method. In this paper, Lubrication-Contact interface conditions (LCICs) have been implemented and extended to solve the multiple asperity contact problem using the full-multigrid approach. The developed novel algorithm has significantly accelerated the solution process and improved the accuracy and efficiency of pressure calculation for fluid-solid sub-interactions that can occur under ML regions. The Finite Difference Method (FDM) results have been compared with Computational Fluid Dynamics (CFD) simulation to validate the newly developed model. Hence, the proposed optimized solution method will pro-vide valuable insight to researchers and industry engineers interested in simulating the ML problem where the effect of the fluid-solid interface can be captured effectively to improve reli-ability in the calculation of the life expectancy of the lubricated parts.

Item Type:Article
ISSN:2075-4442
Uncontrolled Keywords:Mixed Lubrication (ML); Numerical Simulation; Computational Fluid Dynamics (CFD); Full Multigrid method; fluid-solid interactions
Group:Faculty of Science & Technology
ID Code:38567
Deposited By: Symplectic RT2
Deposited On:25 May 2023 08:56
Last Modified:25 May 2023 08:56

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