SANDEEP MOUVANAL Sandeep.Mouvanal@nottingham.ac.uk
Senior Research Fellow
COUPLED EULERIAN THIN FILM MODEL AND LAGRANGIAN DISCRETE PHASE MODEL TO PREDICT FILM THICKNESS INSIDE AN AERO-ENGINE BEARING CHAMBER
Mouvanal, Sandeep; Singh, Kuldeep; Jefferson-Loveday, Richard; Ambrose, Stephen; Eastwick, Carol; Johnson, Kathy; Jacobs, Adrian
Authors
Dr KULDEEP SINGH KULDEEP.SINGH@NOTTINGHAM.AC.UK
Senior Application Engineers Inindustrialisation of Electrical Machines
Richard Jefferson-Loveday
STEPHEN AMBROSE Stephen.Ambrose3@nottingham.ac.uk
Assistant Professor
CAROL EASTWICK CAROL.EASTWICK@NOTTINGHAM.AC.UK
Professor of Mechanical Engineering
KATHY JOHNSON KATHY.JOHNSON@NOTTINGHAM.AC.UK
Professor of Mechanical and Aerospace Engineering
Adrian Jacobs
Abstract
In aero-engine bearing chambers, two-phase shearing flows are difficult to predict as Computational Fluid Dynamics (CFD) RANS models tend to overestimate interfacial turbulence levels, leading to inaccuracies in the modelling of the flow. Turbulence damping methods have been developed to address this problem, such as Egorov’s correction, however, this method is mesh dependent and results differ considerably according to the choice of turbulence damping coefficient. In addition, this approach assumes a smooth interface between the air and oil phases when in reality they are wavy. In this paper, a Machine Learning method is used to inform an unsteady RANS turbulence modelling. It is trained using high fidelity quasi-DNS simulation data and used to provide an appropriate correction to the popular Wilcox’s standard RANS 𝑘 − 𝜔 turbulence model. The correction consists of a machine learning-predicted source term which is used to adjust the energy budget in the RANS transport equations. Demonstration of the approach is presented for a range of interfacial flow regimes.
Citation
Mouvanal, S., Singh, K., Jefferson-Loveday, R., Ambrose, S., Eastwick, C., Johnson, K., & Jacobs, A. (2022). COUPLED EULERIAN THIN FILM MODEL AND LAGRANGIAN DISCRETE PHASE MODEL TO PREDICT FILM THICKNESS INSIDE AN AERO-ENGINE BEARING CHAMBER. In Proceedings of Global Power and Propulsion Society. https://doi.org/10.33737/gpps22-tc-68
Conference Name | GPPS Chania22 |
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Conference Location | Chania, Greece |
Start Date | Sep 12, 2022 |
End Date | Sep 14, 2022 |
Acceptance Date | Sep 1, 2022 |
Online Publication Date | Sep 14, 2022 |
Publication Date | Sep 14, 2022 |
Deposit Date | Nov 3, 2022 |
Publicly Available Date | Nov 3, 2022 |
Series ISSN | 2504-4400 |
Book Title | Proceedings of Global Power and Propulsion Society |
DOI | https://doi.org/10.33737/gpps22-tc-68 |
Public URL | https://nottingham-repository.worktribe.com/output/13177209 |
Publisher URL | https://gpps.global/wp-content/uploads/2022/09/GPPS-TC-2022_paper_68.pdf |
Additional Information | GPPS-TC-2022-0068 |
Files
GPPS-TC-2022 Paper 68
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PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/