Advanced Modeling of Lubricated Interfaces in General Curvilinear Grids

Tackling fluid-flow problems involving intricate surface geometries has been the catalyst for a plethora of numerical investigations aimed at accommodating curved complex boundaries. An example is the application of body-fitted curvilinear coordinate transformation, where the one-to-one corresponden...

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Bibliographic Details
Published in:arXiv.org 2023-04
Main Authors: Ardah, Suhaib, Profito, Francisco J, Reddyhoff, Tom, Dini, Daniele
Format: Article
Language:English
Subjects:
Cavitation
Coordinate transformations
Domains
Elastohydrodynamic lubrication
Finite volume method
Fluid flow
Fluid-structure interaction
Lubrication
Robustness (mathematics)
Software
Spherical coordinates
Tribology
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Summary:Tackling fluid-flow problems involving intricate surface geometries has been the catalyst for a plethora of numerical investigations aimed at accommodating curved complex boundaries. An example is the application of body-fitted curvilinear coordinate transformation, where the one-to-one correspondence of grid points from the physical to the computational domain is achieved. In lubricated interfaces, such conversion is challenging due to the complex governing equations in the mapped-grid, the numerical instabilities exhibited by their non-linearities and the severity of operating conditions. The present contribution proposes a Reynolds-based, finite volume fluid-structure interaction (FSI) framework for solving thermal elastohydrodynamic lubrication (TEHL) problems mapped onto non-orthogonal curvilinear grids in the computational domain. We demonstrate how the strong conservation form of the pertinent governing equations can be expressed in three-dimensional curvilinear grids and discretised using finite volume method to ensure fluid-flow conservation and enforce mass-conserving cavitation conditions. Numerical and experimental benchmarks showcase the robustness and versatility of the proposed framework to simulate a diverse range of lubrication problems, hence achieving a predictive computational tool that would enable a shift towards tribology-aware design.
ISSN:2331-8422