Biography
Dr Muting Hao came to Oxford and joined the CFD Methodology group in 2017, holding a BSc in Energy and Power Engineering, and a Master degree in turbomachinery from China. Muting received a Dphil in Oxford Thermalfluid Institute at University of Oxford in 2022, specialised on numerical methods and conjugate heat transfer in film cooling of gas turbine (sponsored by Rolls Royce).
After that, Muting worked as a PDRA in OTI at University of Oxford, working on high bypass ratio turbofan design under the UKRI scheme. In December 2023, Muting was awarded the UKRI Computing Insight UK 2023 Jacky Pallas Award. Muting will then start as a Career Development Research Fellow in Oxford from October 2024.
Research Interests
Muting Hao’s research focuses on numerical methods in turbomachinery, turbine cooling, conjugate heat transfer, turbofan design, LES, turbulence, and heat transfer.
Muting has so far studied unsteady flows in applications including gas turbines, compressors, stream turbines and nuclear reactor coolant pump. Muting will continue focus on aerospace CFD research.
Current Projects
- High bypass ratio turbofan
- Gas turbine film cooling
- Conjugate heat transfer
Research Groups
Related Academics
Publications
- Muting Hao and Luca di Mare, Heat transfer and budgets of turbulent heat flux in film cooling with fan-shaped and cylindrical holes, International Journal of Heat and Mass Transfer, Volume 217,(2023):124687.
- Muting Hao and Luca di Mare. ”Reynolds stresses and turbulent heat fluxes in fan-shaped and cylindrical film cooling holes.” International Journal of Heat and Mass Transfer 214 (2023) : 124324.
- Muting Hao and Luca di Mare. ”Budgets of Reynolds stresses in film cooling with fan-shaped and cylindrical holes.” Physics of Fluids (2023).
- Muting Hao and Luca di Mare. ”Scaling and similarity laws in three-dimensional wall jets.” Physics of Fluids (2023).
- Muting Hao, Joshua Hope-collins, and Luca di Mare, ”Generation of turbulent inflow data from realistic approximations of the covariance tensor”, Physics of Fluids 34.11 (2022) : 115140.
- Yann Dreze, Muting Hao, and Luca di Mare, Divergence-free turbulent inflow data from realistic covariance tensor, Physics of Fluids 35.2 (2023) : 025120;
- Muting Hao, Wang, F, Hope-Collins, J, Rife, ME, & di Mare, L. ”Template-Based Hexahedral Mesh Generation for Turbine Co- oling Geometries.” Proceedings of the ASME Turbo Expo 2020 : Turbomachinery Technical Conference and Exposition. Vo- lume 2C : Turbomachinery. Virtual, Online. September 21–25, 2020. V02CT35A017. ASME.