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CAMBRIDGE UGTP WHOLE ENGINE COMPUTATIONAL AEROACOUSTICS CONSORTIUM

Reference Number
EP/G027633/1
Title
CAMBRIDGE UGTP WHOLE ENGINE COMPUTATIONAL AEROACOUSTICS CONSORTIUM
Status
Completed
Energy Categories
Energy Efficiency(Transport)
Not Energy Related
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Oil and gas combustion)
Research Types
Basic and strategic applied research
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Professor P. G. Tucker
Engineering
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
Mechanical engineering
Region
East of England
Programme
NC : Engineering
Investigators
Principal Investigator
Professor P. G. Tucker, Engineering, University of Cambridge
Other Investigator
Professor R Cant, Engineering, University of Cambridge
Professor W Dawes, Head office, Cambridge Flow Solutions Ltd
Professor Dame A Dowling, Engineering, University of Cambridge
Dr CA Hall, Engineering, University of Cambridge
Dr S Karabasov, Engineering and Materials Science, Queen Mary University of London
Professor N Peake, Applied Maths and Theoretical Physics, University of Cambridge
Web Site
Objectives
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
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Added to Database
22/12/08