Experimental investigation of Gas Turbine Aerodynamics using Planar Laser-Induced Fluorescence (PLIF).
Dr David Cleaver
No more applications being accepted
Competition Funded PhD Project (Students Worldwide)
The research work within the Turbomachinery Research Centre (TRC) at Bath focuses on the flow and heat transfer in gas turbine secondary air systems. The ultimate aim of the work is to produce greener energy through more efficient gas turbines.
The TRC have recently been awarded a ~£1.2M research grant to design and build a new start-of-the-art gas turbine test facility. The new facility will aim to investigate the interaction effects between gas turbine secondary air systems and the mainstream gas path. PIV (V3V) and PLIF will be employed to monitor the trajectory and interaction mechanisms found in these highly unsteady and complex flows. Insight gained from the research will be used to inform the design of future engine hardware.
This PhD will focus on the application of PLIF to map the interaction of purge air (seeded with CO2) with the mainstream gas path. The CO2-PLIF system is unique to Bath and was designed in collaboration with the manufacturer as part of a strategic investment in the University of Bath as a centre of excellence in fluid measurement.
The project is funded by the Engineering and Physical Sciences Research Council in collaboration with Siemens Industrial Turbomachinery.
How can the engine designer optimise the application of highly efficient rim-seals without compromising the aerodynamic efficiency of a gas turbine stage?
Home/EU awards (3 years): Provides tuition fee, £1000 per year Training Support Grant and Stipend (£14.057 2015-6 rate).
Overseas awards (3 years): Provides tuition fee, £1000 per year Training Support Grant, but no stipend.
The successful applicant will ideally have obtained/be predicted to obtain a minimum of a 2:1 class degree in engineering or physics.
How good is research at University of Bath in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?
FTE Category A staff submitted: 61.00
Research output data provided by the Research Excellence Framework (REF)
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