Lead Research Organisation: University of Cambridge
Department Name: Engineering


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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Tucker P (2012) ZONAL RANS-LES MODELING FOR TURBINES IN AEROENGINES in Computational Thermal Sciences

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Tucker P. G. (2012) Computational acoustics and aerodynamics: a multi-objective & component outlook in ERCOFTAC Bulletin 90, March, Special Issue in Aeroacoustics (Invited)

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Tyacke J (2013) On the Application of LES to Seal Geometries in Flow, Turbulence and Combustion

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Eastwood S (2011) Hybrid LES - RANS of Complex Geometry Jets in International Journal of Aeroacoustics

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Eastwood S (2012) Large-Eddy Simulation of Complex Geometry Jets in Journal of Propulsion and Power

Description The computing time supported computational aeroacoustics research in a wide range of areas. Notably it allowed us to perform predictive Computational Fluid Dynamics (CFD) simulations for a range of complex nozzles, including those with a pylon, wing and idealized flap. We managed to reliably extract 4th order space time correlations for turbulence and use these in low order noise models. The CPU time also enabled us to simulate noise for internal turbo machinery components including the fan where we were able again to successfully capture noise spectra.
The computing time has enabled us to secure much follow on funding and also has lead to Rolls-Royce plc planning to use predictive CFD in-house.
Exploitation Route They are being taken forwards by Rolls-Royce plc. Also, there is an EU (JERONIMO) project that takes the type of work carried out in this project forwards. We also have an EU project TurboNoiseBB and an ATI project with Rolls-Royce plc called ACAPELLA.
Sectors Aerospace

Defence and Marine




Description The computing time has enabled us to demonstrate to Rolls-Royce plc the power of predictive Computational Fluid Dynamics (eddy resolving type simulations) for acoustics. Hence, they are planning, in a relatively short time frame, to have this as an available, in-house, predictive approach. It has allowed us to show that inflow conditions are not that important for eddy resolving simulations of jets.
First Year Of Impact 2010
Sector Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Energy,Environment,Transport
Impact Types Societal


Description ACAPELLA
Amount £359,500 (GBP)
Funding ID 113086 
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 09/2016 
End 04/2019
Description Aerodynamics and aeroacoustics of complex geometry hot jets
Amount £436,330 (GBP)
Funding ID EP/I017771/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 11/2011 
End 10/2015
Description Aeroengine acoustic interactions
Amount £441,613 (GBP)
Funding ID EP/I010440/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2011 
End 11/2014
Description Flap noise
Amount £246,664 (GBP)
Funding ID EP/I017747/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 03/2011 
End 07/2012
Description JERONIMO: LES modelling of jet-wing-flap interactions
Amount € 330,354 (EUR)
Funding ID 314692 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 11/2012 
End 10/2016
Description SILOET 1 - LES Modelling of Jets
Amount £200,000 (GBP)
Funding ID AB266C/2 L8002B 
Organisation SILOET 
Sector Academic/University
Country United Kingdom
Start 04/2009 
End 07/2013
Description TurboNoiseBB
Amount £145,000 (GBP)
Funding ID 690714 
Organisation European Union 
Sector Public
Country European Union (EU)
Start 09/2016 
End 04/2018
Description wHole AiRcraft Multidisciplinary nOise desigN system (HARMONY)
Amount £510,039 (GBP)
Funding ID 101367 
Organisation SILOET 
Sector Academic/University
Country United Kingdom
Start 02/2013 
End 01/2016