PhD Studentship: Prediction of turbine cooling flows using scale-resolving CFD

Project Description:

Within aircraft jet engines, high-pressure turbine (HPT) blades are exposed to combustion gases requiring complex cooling strategies. Prediction of turbine heat transfer is critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design.

Skills and Experience Required:

Applicants will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential. You should be highly motivated, able to work independently as well as collaborate with others and have effective written/oral communication skills.

Degree Disciplines:

Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline.  A Postgraduate Masters degree is not required but may be an advantage.

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