All Outputs (4)

LES informed data-driven models for RANS simulations of single-hole cooling flows (2024)
Journal Article
Ellis, C. D., & Xia, H. (2024). LES informed data-driven models for RANS simulations of single-hole cooling flows. International Journal of Heat and Mass Transfer, 235, Article 126150. https://doi.org/10.1016/j.ijheatmasstransfer.2024.126150

A LES-informed data-driven approach for improved predictions of the turbulent heat flux vector has been sought for film and effusion cooling flow applications. Random forest and shallow neural networks have been used to train a spatially varying coef... Read More about LES informed data-driven models for RANS simulations of single-hole cooling flows.

Modelling and Simulation of Effusion Cooling—A Review of Recent Progress (2024)
Journal Article
Xia, H., Chen, X., & Ellis, C. D. (2024). Modelling and Simulation of Effusion Cooling—A Review of Recent Progress. Energies, 17(17), Article 4480. https://doi.org/10.3390/en17174480

Effusion cooling is often regarded as one of the critical techniques to protect solid surfaces from exposure to extremely hot environments, such as inside a combustion chamber where temperature can well exceed the metal melting point. Designing such... Read More about Modelling and Simulation of Effusion Cooling—A Review of Recent Progress.

Data-driven turbulence anisotropy in film and effusion cooling flows (2023)
Journal Article
Ellis, C., & Xia, H. (2023). Data-driven turbulence anisotropy in film and effusion cooling flows. Physics of Fluids, 35(10), Article 105114. https://doi.org/10.1063/5.0166685

Film and effusion cooling flows contain complex flow that classical Reynolds-averaged Navier–Stokes (RANS) models struggle to capture. A tensor-basis neural network is employed to provide an anisotropic model that can reproduce the Reynolds stress fi... Read More about Data-driven turbulence anisotropy in film and effusion cooling flows.

Impact of inflow turbulence on large‐eddy simulation of film cooling flows (2022)
Journal Article
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

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... Read More about Impact of inflow turbulence on large‐eddy simulation of film cooling flows.