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Impact of inflow turbulence on large‐eddy simulation of film cooling flows

Ellis, C.D.; Xia, H.

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Authors

Dr CHRIS ELLIS Chris.Ellis1@nottingham.ac.uk
Assistant Professor in AerospacePropulsion

H. Xia



Abstract

The paper investigates the impact of industrially appropriate inflow turbulence on the turbulent state, mixing capability and surface coolant distribution of film cooling flow using LES. Near-wall and freestream turbulence, corresponding to turbulent boundary layers and stochastic turbulent fluctuations away from the wall, have been investigated. In our study, we set up three main test scenarios: no inflow turbulence, near-wall boundary layer turbulence and freestream turbulence. Our work shows that surface adiabatic cooling effectiveness differs significantly with and without inflow turbulence. It is also evident that freestream turbulence enhances the mixing ability of a cooling flow, providing an initial enhancement of surface cooling close to the hole but with reduced cooling effectiveness downstream. Turbulent length scales, turbulent heat flux and turbulent anisotropy are compared and illustrate the changes in cooling effectiveness as a result of the upstream turbulent behaviour. As a result, despite inflow turbulence being a complex subject and problem-dependent, the importance of introducing realistic turbulent inflow in LES of cooling flows is demonstrated.

Citation

Ellis, C., & Xia, H. (2022). Impact of inflow turbulence on large‐eddy simulation of film cooling flows. International Journal of Heat and Mass Transfer, 195, Article 123172. https://doi.org/10.1016/j.ijheatmasstransfer.2022.123172

Journal Article Type Article
Acceptance Date Jun 17, 2022
Online Publication Date Jun 30, 2022
Publication Date 2022-10
Deposit Date Sep 16, 2024
Publicly Available Date Oct 3, 2024
Journal International Journal of Heat and Mass Transfer
Print ISSN 0017-9310
Electronic ISSN 0017-9310
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 195
Article Number 123172
DOI https://doi.org/10.1016/j.ijheatmasstransfer.2022.123172
Public URL https://nottingham-repository.worktribe.com/output/34871550
Publisher URL https://www.sciencedirect.com/science/article/pii/S0017931022006421?via%3Dihub

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