High Fidelity Cfd-Trained Machine Learning To Inform Rans-Modelled Interfacial Turbulence
(2022)
Conference Proceeding
Bertolotti, L., Jefferson-Loveday, R., Ambrose, S., & Korsukova, E. (2022). High Fidelity Cfd-Trained Machine Learning To Inform Rans-Modelled Interfacial Turbulence. In Proceedings of Global Power and Propulsion Society. https://doi.org/10.33737/gpps22-tc-30
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... Read More about High Fidelity Cfd-Trained Machine Learning To Inform Rans-Modelled Interfacial Turbulence.