Biography
Dr Muting Hao is a Research Fellow at the Oxford Thermofluid Institute (OTI), and an Associate Member of Faculty at the Department of Engineering, University of Oxford. Her research is focused on advancing fundamental computational fluid dynamics (CFD) and its application across multiple areas, with a particular emphasis on improving the efficiency of aviation technology, a crucial area for addressing current and future energy and pollution challenges worldwide. Dr Muting Hao came to Oxford and joined the CFD Methodology group in 2017. She received her Dphil degree in 2022, in Oxford Thermofluid Institute at the University of Oxford, where she specialised in numerical methods and conjugate heat transfer for film cooling of gas turbine, with sponsorship from Rolls-Royce. After that, she continued as Postdoctoral Researcher at OTI, working on high bypass ratio turbofan design under the UKRI scheme.
Her research has gained significant recognition in both industry and academia, culminating in prestigious awards such as the UKRI Computing Insight UK 2023 Jacky Pallas Award and The Osborne Reynolds 2024 Best Poster Award. Since 2024, she has been awarded a Career Development Research Fellow in Engineering at St John’s College in the University of Oxford. Over the years, her research has spanned a broad range of turbomachinery applications, including gas turbines, compressors, steam turbines, and nuclear reactor coolant pumps. Recently, she has focused on numerical methods for gas turbines, specifically: (1) LES on turbine cooling, (2) conjugate heat transfer, (3) high bypass ratio turbofan modelling and design optimisation, (4) turbulence and heat transfer analysis. (5) Machine learning in fluid dynamics.
Currently, Dr. Hao is engaged in cutting-edge research that integrates machine learning with fundamental fluid dynamics. She also continues research in collaboration with Rolls-Royce, developing solver design tools utilized by the aviation industry for both next-generation aircraft engine design and research.
Research Interests
Muting Hao’s research focuses on numerical methods in fluid dynamics, 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 and integrating machine learning with fluid dynamics.
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 stresse
Heat transfer and turbulent heat flux budgets in cooling films
Hao M & di Mare L (2023), International Journal of Heat and Mass Transfer, 217
Budgets of Reynolds stresses in film cooling with fan-shaped and cylindrical holes
Hao M & di Mare L (2023), Physics of Fluids, 35(8)
Scaling and similarity laws in three-dimensional wall jets
Hao M & di Mare L (2023), Physics of Fluids, 35(7)
Reynolds stresses and turbulent heat fluxes in fan-shaped and cylindrical film cooling holes
Hao M & di Mare L (2023), International Journal of Heat and Mass Transfer, 214
Divergence-free turbulent inflow data from realistic covariance tensor
Dreze Y, Hao M & di Mare L (2023), Physics of Fluids, 35(2)
Generation of turbulent in???ow data from realistic approximations of the covariance tensor
Hao M, Hope-Collins J & di Mare L (2022), Physics of Fluids, 34
Template-Based Hexahedral Mesh Generation for Turbine Cooling Geometries
Hao M, Wang F, Hope-Collins J, Rife ME & di Mare L (2020)
Off-design performance comparative analysis of a transcritical CO2 power cycle using a radial turbine by different operation methods
Du Y, Chen H, Hao M, Qiang X, Wang J et al. (2018), Energy Conversion and Management, 168, 529-544
BibTeX
@article{offdesignperfor-2018/7,
title={Off-design performance comparative analysis of a transcritical CO2 power cycle using a radial turbine by different operation methods},
author={Du Y, Chen H, Hao M, Qiang X, Wang J et al.},
journal={Energy Conversion and Management},
volume={168},
pages={529-544},
publisher={Elsevier},
year = "2018"
}
Off-design performance comparative analysis between basic and parallel dual-pressure organic Rankine cycles using radial inflow turbines
Du Y, Yang Y, Hu D, Hao M, Wang J et al. (2018), Applied Thermal Engineering, 138, 18-34
BibTeX
@article{offdesignperfor-2018/6,
title={Off-design performance comparative analysis between basic and parallel dual-pressure organic Rankine cycles using radial inflow turbines},
author={Du Y, Yang Y, Hu D, Hao M, Wang J et al.},
journal={Applied Thermal Engineering},
volume={138},
pages={18-34},
publisher={Elsevier},
year = "2018"
}
Off-Design Performance Comparative Analysis Between Dual-Pressure Organic Rankine Cycles Using Pure and Mixture Working Fluids
Du Y, Long Y, Hao M, Huo Y, Zhao P et al. (2018), v003t28a003-v003t28a003
BibTeX
@inproceedings{offdesignperfor-2018/6,
title={Off-Design Performance Comparative Analysis Between Dual-Pressure Organic Rankine Cycles Using Pure and Mixture Working Fluids},
author={Du Y, Long Y, Hao M, Huo Y, Zhao P et al.},
booktitle={Volume 3: Coal, Biomass, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems},
pages={v003t28a003-v003t28a003},
year = "2018"
}
DPhil Opportunities
I am interested to hear from potential students who have interests in research areas spanning from fundamental fluid dynamics/aerodynamics/high order scheme/machine learning in CFD.