PhD in Aero-Engine Aerodynamics

Cranfield University

This is a fully funded PhD (fees and bursary) in propulsion system aerodynamics in collaboration with EPSRC, Rolls-Royce and Cranfield University. The measurement and evaluation of intake flow fields is a crucial aspect of powerplant integration, operability and performance. This applies to podded as well as embedded propulsion systems. The standard approach to measure non-uniformities of the intake flow is to use a relatively small number of total pressure probes ahead of the fan or compressor. It is acknowledged that this level of resolution is insufficient, but it is difficult to improve this using conventional intrusive measurements. Cranfield University has addressed this problem through non-intrusive particle image velocimetry (PIV) to measure the unsteady velocity field. This provides rich datasets with well resolved spatial and temporal measurements. The overall aim of this PhD project is to develop the next generation of advanced data analysis and characterisation methods for intake flow distortion based on synchronous pressure and velocity measurements and computational datasets. The research will focus on the flow distortion that arises in a complex aero-engine intake. The project will build on previous successful programmes which have developed considerable expertise in the measurement of intake flow distortion using non-intrusive methods. The research will encompass rig design, aerodynamic measurements, and the development of advanced analysis methods for complex unsteady flows. A key part of the experimental research will be the synchronous measurement of velocity and total pressure. The project will investigate how machine learning and data-driven methods can be used to:Develop surrogate models that predict distortion metrics from sparse sensor measurements.Create reduced-order representations of complex intake flow fields using advanced data decomposition techniques.Identify, track and characterise coherent structures such as vortical distortion patterns.Fuse experimental PIV data, pressure measurements, and data from CFD simulations.Overall, this will be a major advance on current experimental practice and will enable the assessment of the intake flow distortion in terms of the key elements that are known to affect the fan operability and performance. The successful candidate will work with unique experimental and numerical datasets and develop transferable skills in experimental aerodynamics, data analysis, machine learning, and computational methods. The main impact of the work will be through Rolls-Royce where it will enable improvements to powerplant/airframe integration, aero-engine testing methods and compressor system operability. Unique opportunities for conference attendance, international workshops and industrial placements within Rolls-Royce are part of the programme.The work will be conducted through the Rolls-Royce University Technology Centre based at Cranfield which has a strong collaborative history with Rolls-Royce in the area of aero-engine aerodynamics. This programme provides the PhD candidate with an outstanding opportunity to work closely with Rolls-Royce engineers across a range of disciplines for the development of future aerospace technologies and capabilities. During the PhD programme there will be regular reviews and presentation opportunities with Rolls-Royce as well as the chance to attend specialist MSc modules if needed.