All Outputs (2)

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.