Flap Noise

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

Abstract

With the projected demand for air transport set to double the world aircraft fleet by 2020, the task of reducing noise levels of each individual aircraft is becoming extremely urgent. Significant technological advances in the reduction of turbomachinery noise alone has been achieved over the last 20 years due to the implementation of advanced fan designs and the use of jet engines with ultra high bypass ratios. Because of these advances, airframe noise and non-traditional noise sources due to the engine installation effects are becoming a major limiting factor in the overall reduction of the aircraft noise. In turn, flap noise is a very important component of airframe noise for approach conditions and, as a recent experimental study demonstrated, the flap interaction with the jet can also produce very significant noise for take-off conditions. This puts the viability of many conventional aircraft, especially those with the engine-under-the-wing configuration, in jeopardy. At the same time, as recognised by the international aeroacoustic community, the mechanisms of flap noise still remain very poorly understood. In the new project, we will develop a new physically insightful method for understanding and predicting both broadband and tonal flap noise. In this work we will combine and extend the two models developed in the framework of two previous successful EPSRC-funded aeroacoustic projects into a new unified noise prediction scheme. This scheme will capture both the tonal and broadband noise components of the high-lift devices, such as wing flaps and flaperons and their interaction with the turbulent jet. The new model will have an exact match between the sound sources predicted by Computational Fluid Dynamics (CFD) tools and far-field propagation using a mixture of mathematical modelling tools. Using the new model we will systematically study the mechanisms of flap noise and investigate the effect of control devices, such as porous flap edge surfaces and vortex generators installed on the flap trailing edge, on noise.This Project is a well-balanced combination of advanced numerical modelling, high performance computing and state-of-the art acoustic analysis methods. All investigators are experts in their fields - aeroacoustics, aerodynamics, turbulence modelling and numerical methods. Thus a strong side of the Project is its multi-disciplinary and collaborative nature that ensures synergy and cross-fertilisation of ideas and methods.The planned work has great environmental importance, aimed directly at improving the quality of people's lives in the vicinity of airports. It also has commercial importance, potentially safeguarding UK jobs in a high technology area, and its results will be of interest for the leading UK airspace industry such as Airbus and Rolls-Royce plc. This is because greater physical understanding and valuable predictive technology for acoustics design will be created. These should ultimately result in more environmentally friendly, and hence commercially competitive, aircraft that can be brought to the market more quickly and at lower cost. The research will be disseminated via publications in high-impact journals and presentations at key international conferences. The international collaborative context of this project enhances the potential dissemination paths. The projects results will be also disseminated through other specialist meetings, such as at Royal Society Meetings. In addition, a series of seminar talks will be arranged for to further disseminate the projects results in leading European aeroacoustics centres. The international collaborative context of this project will enhance the potential dissemination paths. It is also expected that the new highly trained computational fluid dynamicist/aerodynamicist/aeroacoustician produced in the project will be disseminating the post-project results in her/his further work.

Planned Impact

The potential benefits to society and hence impact beyond academia of this project is expected to be high, since the project's nature has been environmentally and industrially inspired. With the projected demand for air transport set to double the world aircraft fleet by 2020, the task of reducing noise levels of each individual aircraft is becoming extremely urgent. Airframe noise and non-traditional noise sources due to the engine installation effects are becoming a major limiting factor in the overall aircraft noise reduction. Flap noise is a very important component of airframe noise for approach conditions and, as a recent experimental study has shown, the flap interaction with the jet can also produce very significant noise for take-off conditions. This puts the viability of many conventional aircraft, especially those with the engine-under-the-wing configuration, in jeopardy and gives strong economic implications for the current work. As recognised by the international aeroacoustic community, there is no single mechanism of flap noise and its effects remain largely very poorly understood. For the new project, we will develop a new physically insightful method for understanding and predicting flap noise. This method will allow us to capture both the broadband and tonal flap noise source components, account for realistic sound propagation/interference effects, and obtain important physical insights into flap noise. The Project is a well-balanced combination of advanced numerical modelling and state-of-the art acoustic analysis methods. A strong feature of the Project is its multi-disciplinary and collaborative nature that ensures synergy and cross-fertilisation of ideas and methods. With regards to the UK economy we expect that the current work will have strong technological impact, especially for Airbus and Rolls-Royce plc. Both companies have shown a considerable interest in our work and the dissemination of its results will be arranged for once the project is developed. For example, a natural route for dissimating the project results with Rolls-Royce plc will be through the regular meetings the applicants have with their specialists, being a part of Rolls-Royce University Gas Turbine Partnership. The University of Cambridge has robust and well tested procedures in place to protect intellectual property. The project will itself produce one highly trained computational fluid dynamicist/aerodynamicist/aeroacoustician - who will have benefited from regular supervision by investigators with diverse and in depth expertise. This training will be of direct value to the UK science/technology base, and there is a well-established recruitment route for such researchers into key UK aerospace companies. The research will be disseminated via all the normal academic routes: the publication of high-impact journal papers, presentations at key international conferences, e.g., the annual AIAA Aeroacoustics conference and ASME TURBO EXPO, Power for Land, Sea and Air, and specialist LES conferences. The international collaborative context of this project enhances the potential dissemination paths. We will seek to have a US AIAA Session, a Thematic Royal Society Meeting and organise a special minisymposium in the framework of the next World Congress on Computational Mechanics to disseminate the project findings. In addition, a series of seminar talks to further disseminate the projects results in leading European aeroacoustics centres will be arranged. It is also expected that the new highly trained computational fluid dynamicist/aerodynamicist/aeroacoustician produced in the project will be disseminating the post-project results in her/his further work.

Publications

10 25 50
 
Description As the result of this research we have found how the complex flow field such as turbulent jet flow or jet-wing flow can be decomposed into effective sound sources without any intermediate assumptions about the mechanisms of sound generation. This was made possible by us finding a new practical way how to effectively compress flow solutions in space and time by several orders of magnitude in comparison with the methods which were available before the start of this project. This allowed us to show that similar jet noise spectra at the far field can be created by completely different mechanisms of sound generation in the jet such as fluctuating velocity or temperature, which finding has now been published in top journals in the field ( e.g. J. Fluid Mechanics, 2018).
We have also developed a new computational capability based on turbulent-eddy-resolving simulations and acoustic modelling which has been validated for sound predictions for a few jet-wing interaction problems of industrial relevance. This capability led to new partnerships with leading aerospace industries who are going to use our tools in design optimisation of their aero engines to make them quitter for the benefit of local communities living in the vicinity of airfields.
One of these test cases considered was the new jet-wing interaction experiment performed by Aeroacoustics Division, TsAGI in Russia in 2014.
These have lead to new collaborations including one SME (Aeroacoustics Ltd) in the framework of QMI funding scheme at Queen Mary and a successful project with industry involvement through Aero Acoustics Research Consortium (http://www.grc.nasa.gov/WWW/Acoustics/collaboration/aarc.htm).
In addition, the research span off a new development of the new generation of fast computational tools for aeroacoustics based on Graphic Processing Units (GPU), which now allows high-resolution simulations, which previously would take 2-3 months on a costly supercomputer, to be run under the desk for only 1 week. This development gained a serious interest from Rolls-Royce and led to our participation in a new 3-year H2020 project "DJINN" led by Rolls-Royce and Airbus (2020-2023).
Based on these simulations, new developments in the correlation theory has been made, which applies to both subsonic and supersonic jets. This progress in understanding jet noise further allowed developing new physically insightful models for broad-band-shock-associated noise.
Exploitation Route We have developed a new method of looking into the origin of noise generated by turbulent flows at the root level which is tractable on a small-size computer cluster. This method can be used by researchers and industry for new fast-turn-around-time noise prediction schemes in the context of Multi Disciplinary design Optimisation (MDO) to steer the engine exhaust geometry in the optimal way for noise reduction.
Sectors Aerospace, Defence and Marine,Transport

URL http://www.sems.qmul.ac.uk/research/researchdetail.php?rid=649
 
Description Our findings have been used as a starting platform for two projects with industry with the goal to develop new jet noise prediction capabilities for design optimisation studies. One of them is with Aero Acoustic Research Consortium which is run by leading aerospace industries. The second one is with an SME in the framework of QMI funding scheme at Queen Mary. Our recent findings in the correlation theory of jet noise have also been used in the collaborative research with Monash University, Australia on supersonic jet noise. In addition, the results of the project led a new collaboration with University of Bristol in the framework of the new JINA EPSRC project and with Rolls-Royce and Airbus in the framework of H2020 DJINN project.
First Year Of Impact 2016
Sector Aerospace, Defence and Marine,Transport
Impact Types Economic

 
Description Aero Acoustic Research Consortium Grant
Amount $120,000 (USD)
Organisation Aeroacoustics Research Consortium 
Sector Charity/Non Profit
Country United States
Start 10/2013 
End 10/2014
 
Title High resolution flow modelling code with acoustic modelling 
Description In the Flap Noise project, we have a developed a new high-resolution solver for flow and noise simulations as well as a suite of post-processing routines for noise source analysis. All are open-source in the public domain. 
Type Of Material Improvements to research infrastructure 
Year Produced 2012 
Provided To Others? Yes  
Impact The development of the new computational tools lead to new collaborations, access to new experimental data and resources. 
 
Title New technique for analysing the statistics of acoustic sources in high-resolution in space and time 
Description In the Flap Noise project, we have developed a new technique how the statistics of turbulent sound sources can be reconstructed from eddy-resolving simulations from the first principle. In comparison with previous algorithms, the new technique is several order of magnitude more computer memory efficient 
Type Of Material Computer model/algorithm 
Year Produced 2014 
Provided To Others? Yes  
Impact The new algorithm has lead to two new project applications. 
 
Description Jet noise modelling with installation effects 
Organisation Aero Acoustics
Country United Kingdom 
Sector Private 
PI Contribution New computational methods we developed in the current Flap Noise projects have been used for jet-wing interaction investigations with Central Aerohydrodynamic Institute, Moscow and Aeroacoustics Ltd (a UK SME providing services in aerospace consulting). The algorithms developed were contributed to the open-source codes used in ANL and the outcome of modelling has been contributed to a joint project with OAI.
Collaborator Contribution Central Aerohydrodynamic Institute provided experimental data for validation and funding support for travel Aeroacoustics Ltd provided free consultancy ANL provided travel support and computing time OAI provided resources and access to funding to a subsequent project
Impact AARC funding on jet noise modelling on the project with OAI Computing time on Mira Blue Gene Supercomputer in ANL
Start Year 2013
 
Description Jet noise modelling with installation effects 
Organisation Argonne National Laboratory
Country United States 
Sector Public 
PI Contribution New computational methods we developed in the current Flap Noise projects have been used for jet-wing interaction investigations with Central Aerohydrodynamic Institute, Moscow and Aeroacoustics Ltd (a UK SME providing services in aerospace consulting). The algorithms developed were contributed to the open-source codes used in ANL and the outcome of modelling has been contributed to a joint project with OAI.
Collaborator Contribution Central Aerohydrodynamic Institute provided experimental data for validation and funding support for travel Aeroacoustics Ltd provided free consultancy ANL provided travel support and computing time OAI provided resources and access to funding to a subsequent project
Impact AARC funding on jet noise modelling on the project with OAI Computing time on Mira Blue Gene Supercomputer in ANL
Start Year 2013
 
Description Jet noise modelling with installation effects 
Organisation Central Aerohydrodynamic Institute (TsAGI)
Country Russian Federation 
Sector Private 
PI Contribution New computational methods we developed in the current Flap Noise projects have been used for jet-wing interaction investigations with Central Aerohydrodynamic Institute, Moscow and Aeroacoustics Ltd (a UK SME providing services in aerospace consulting). The algorithms developed were contributed to the open-source codes used in ANL and the outcome of modelling has been contributed to a joint project with OAI.
Collaborator Contribution Central Aerohydrodynamic Institute provided experimental data for validation and funding support for travel Aeroacoustics Ltd provided free consultancy ANL provided travel support and computing time OAI provided resources and access to funding to a subsequent project
Impact AARC funding on jet noise modelling on the project with OAI Computing time on Mira Blue Gene Supercomputer in ANL
Start Year 2013
 
Description Jet noise modelling with installation effects 
Organisation Ohio Aerospace Institute
Country United States 
Sector Academic/University 
PI Contribution New computational methods we developed in the current Flap Noise projects have been used for jet-wing interaction investigations with Central Aerohydrodynamic Institute, Moscow and Aeroacoustics Ltd (a UK SME providing services in aerospace consulting). The algorithms developed were contributed to the open-source codes used in ANL and the outcome of modelling has been contributed to a joint project with OAI.
Collaborator Contribution Central Aerohydrodynamic Institute provided experimental data for validation and funding support for travel Aeroacoustics Ltd provided free consultancy ANL provided travel support and computing time OAI provided resources and access to funding to a subsequent project
Impact AARC funding on jet noise modelling on the project with OAI Computing time on Mira Blue Gene Supercomputer in ANL
Start Year 2013
 
Company Name GPU-Prime.LTD 
Description Computer facilities management activities (computational engineering consultancy) 
Year Established 2016 
Impact Participated in a bid for the Aero Acoustic Research Consortium project supported by major international industries and was invited to proceed to the final stage of the proposal submission.