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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Publications
Abid H
(2022)
Jet Installation Noise Modelling Informed by GPU LES
Gryazev V
(2021)
Broadband shock-associated noise modelling for high-area-ratio under-expanded jets.
in The Journal of the Acoustical Society of America
Gryazev V
(2022)
Generalized Acoustic Analogy Modeling of Hot Jet Noise
in AIAA Journal
Gryazev V
(2023)
Robustness of Reduced-Order Jet Noise Models
in AIAA Journal
Kamliya Jawahar H
(2021)
Effects of Chevrons on Jet-installation Noise
Karabasov S
(2019)
Advances in aeroacoustics research: recent developments and perspectives
in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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 |