JINA: Jet Installation Noise Abatement

Lead Research Organisation: Queen Mary University of London
Department Name: School of Engineering & Materials Scienc

Abstract

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Description We have developed a high-resolution jet-wing high-resolution (LES) model for the Rolls-Royce SYMPHONY experiment. The use of Graphics Processing Cards and the advanced numerical method allowed us to compute both the flow and noise with sufficient accuracy for industry to further apply our method for design optimisation studies.
Results were reported at the AIAA Aeroacoustic conference in June 2020, 2021, 2022 as well as in AIAA J in 2022 and 2023.
Exploitation Route We have already been invited by Rolls-Royce to test the method we developed in their new H2020 project "DJINN" devoted to jet installation noise reduction.
This are exploring opportunities towards a further exploitation of our method for high Technology-Readiness-Level industrial projects in the framework of Innovate UK.
Our method is currently tested by Rolls-Royce who are potentially interested to make it a new design tool.
Sectors Aerospace, Defence and Marine

 
Description We have developed a fast high-fidelity computational method to conduct virtual experiments to reduce jet noise including the effect of a complex airframe geometry. Such method can be incorporated in a design optimisation loop by industry to develop new aero engine exhausts in a cost efficient way. Using this method we have pioneered the use of Large Eddy Simulations for aero-acoustic design optimisation of a chevron nozzle, which was previously impossible due to prohibitively long run times.
First Year Of Impact 2020
Sector Aerospace, Defence and Marine
Impact Types Societal,Economic

 
Description (DJINN) - Decrease Jet-Installation Noise
Amount € 4,995,210 (EUR)
Funding ID 861438 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 06/2020 
End 05/2023
 
Description (ENODISE) - Enabling optimized disruptive airframe-propulsion integration concepts
Amount € 5,000,000 (EUR)
Funding ID 860103 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 06/2020 
End 05/2024
 
Description Collaboration with Rolls Royce 
Organisation Rolls Royce Group Plc
Country United Kingdom 
Sector Private 
PI Contribution We have used our Large Eddy Simulation code on GPU to compute several benchmark jet noise installation cases of relevance to Rolls Royce.
Collaborator Contribution Rolls Royce invited my group to join their new H2020 DJINN project and provided data for further validation of our models.
Impact Prototype computer program for simulation of jet installation noise effects
Start Year 2020
 
Description High order analysis of jet installation and aerofoil noise effects 
Organisation University of Bristol
Country United Kingdom 
Sector Academic/University 
PI Contribution Following the kick-off of JINA, a collaboration with the experimentalists with University of Bristol has started. Our contribution has been in running several high-resolution Large Eddy Simulation calculations for various test cases.
Collaborator Contribution Our partners have analysed our data using advanced post-processing techniques including SPOD and Wavelet methods
Impact Following the start of our collaboration, we have submitted 6 joint AIAA Conference papers.
Start Year 2020