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Tom Hickling
Tom Hickling
Machine Learning and Computational Fluid Dynamics Researcher | University of
Dirección de correo verificada de maths.ox.ac.uk - Página principal
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Investigation of a Passive Flow Control Device in an S-Duct Inlet of a Propulsion System With High Subsonic Flow
A Asghar, S Sidhu, WDE Allan, G Ingram, T Hickling, R Stowe
Turbo Expo: Power for Land, Sea, and Air 50985, V001T01A033, 2018
102018
LES-CHT for a Rotating Cavity with Axial Throughflow
T Hickling, L He
Journal of Turbomachinery, 2022
52022
Some observations on the computational sensitivity of rotating cavity flows
T Hickling, L He
Journal of Engineering for Gas Turbines and Power 143 (4), 041014, 2021
42021
Reynolds-averaged Navier–Stokes modelling in transonic S-ducts with passive flow control
T Hickling, G Ingram
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2020
42020
A multiscale framework for unsteady conjugate heat transfer with turbulence resolving methods—With application to rotating cavities
T Hickling, L He
International Journal of Heat and Fluid Flow 103, 109174, 2023
12023
Large Eddy Simulation of Airfoil Flows Using Adjoint-Trained Deep Learning Closure Models
T Hickling, J Sirignano, JF MacArt
AIAA SCITECH 2024 Forum, 0296, 2024
2024
A fluid-solid coupled heat transfer methodology as applied to rotating cavities
T Hickling
University of Oxford, 2023
2023
LES-CHT for a Rotating Cavity with Axial Throughflow
T Hickling, L He
Turbo Expo: Power for Land, Sea, and Air 86045, V06BT14A014, 2022
2022
Some Observations on the Computational Sensitivity of Rotating Cavity Flows
T Hickling, L He
Turbo Expo: Power for Land, Sea, and Air 84188, V07CT14A026, 2020
2020
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