Automatic computational fluid-dynamics
Computational fluid-dynamics (CFD) is undergoing a revolution from steady to high-fidelity unsteady methods. A key time limitation to running CFD is in setting up a case to be run and processing data. Within the industry, consistency is also key. For specific problems, these steps can be made automatic. The focus of the project is to automate the entire CFD pipeline from CAD to post-processing, by developing a computational framework. The project will involve aspects of computational geometry used in the gaming industry, Large-Eddy Simulation (LES), high performance computing (HPC) and machine learning (ML)/AI. Collaboration with gas-turbine manufacturers, national and international academics and CFD consultancy firms is expected. Coding or software development experience would be beneficial.
References
- Tyacke, J., Tucker, P. G., 2015, Future use of Large Eddy Simulation in aero-engines, ASME Journal of Turbomachinery, 137(8), pp. 081005-1-16, doi:10.1115/1.4029363
- Tyacke, J. C., Vadlamani, N. R., Trojak, W., Watson, R. A., Ma, Y., Tucker, P. G., 2019, Turbomachinery Simulation Challenges and the Future, Progress in Aerospace Sciences, 110, doi:10.1016/j.paerosci.2019.100554
- Tyacke, J. C., Wang, Z.-N., Tucker, P. G., 2019, LES-RANS of installed ultra-high bypass-ratio coaxial jet aeroacoustics with flight stream, AIAA Journal, 57(3), pp. 1215-1236, doi:10.2514/1.J057057
- Tyacke J. C., Mahak M., P. G. Tucker, 2016, Large-Scale Multifidelity, Multiphysics, Hybrid Reynolds-Averaged Navier–Stokes/Large-Eddy Simulation of an Installed Aeroengine, AIAA Journal of Propulsion and Power, Vol. 32, No. 4, pp. 997-1008, doi:10.2514/1.B35947
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
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This is a self funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.
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