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Reference Number EP/G027633/1
Status Completed
Energy Categories ENERGY EFFICIENCY(Transport) 2%;
FOSSIL FUELS: OIL, GAS and COAL(Oil and Gas, Oil and gas combustion) 2%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor P. G. Tucker
No email address given
University of Cambridge
Award Type Standard
Funding Source EPSRC
Start Date 09 June 2009
End Date 07 December 2012
Duration 42 months
Total Grant Value £90,277
Industrial Sectors Aerospace; Defence and Marine
Region East of England
Programme NC : Engineering
Investigators Principal Investigator Professor P. G. Tucker , Engineering, University of Cambridge (99.993%)
  Other Investigator Professor Dame A Dowling , Engineering, University of Cambridge (0.001%)
Dr TP Hynes , Engineering, University of Cambridge (0.001%)
Dr CA Hall , Engineering, University of Cambridge (0.001%)
Professor R Cant , Engineering, University of Cambridge (0.001%)
Dr S (Sergey ) Karabasov , Engineering and Materials Science, Queen Mary, University of London (0.001%)
Professor N Peake , Applied Maths and Theoretical Physics, University of Cambridge (0.001%)
Professor W (Bill ) Dawes , Head office, Cambridge Flow Solutions Ltd (0.001%)
Web Site
Abstract With the projected demand for air transport set to double the world aircraft fleet by 2020 it is becoming urgent to take steps to reduce the environmental impact of take off noise from aircraft. In worst case noise can be more than just annoying, potentially being a contributory factor towards illnesses such as hypertension. Hence, the Advisory Council for Aeronautics Research in Europe (ACRE) has set the target of reducing perceived noise levels by 50% by the 2020.A key noise source is caused by the powerfully turbulent flow field generated at the high Reynolds numbers associated with aerospace flows. Hence, the acoustician must be able to accurately predict the turbulent flow field, and its interaction, where necessary with combustion, and then manipulate it to reduce the acoustic signature. The only means of reliably predicting turbulence is through direct or near direct simulation of the Navier-Stokes equations. This, at realistic Reynolds numbers needs massive computational resources. Hence, access to the HECToR resource is sought to study various aeroengine flows/systems to produce noise reductions. The areas considered include the engine inlet rotor/fan zones, the combustor, turbine and exhaust
Publications (none)
Final Report (none)
Added to Database 22/12/08