The DJINN project is a member of the 3-projects cluster:
Advancements in aerodynamics, aeroacoustics and
innovative propulsion systems for quieter and greener aircraft
Mitigating aircraft noise on both modern and future aircraft is a significant challenge for the EU considering the increase of air traffic and extension of urban areas together with the increasing public health concern. Aircraft noise results from the combination of engine noise, significantly reduced after decades of intensive research, and airframe noise, mostly generated by landing gears (LGs) and high-lift devices (HLDs).
Strong integration constraints imposed by other considerations than acoustics and our limited knowledge of the complex flow physics mechanisms generating airframe noise have so far limited the development of noise reduction technologies (NRTs) on airframe components such as LGs and HLDs. Direct design of low-noise airframe components based on multi-disciplinary criteria (including acoustics), remains a challenge as well. Therefore, the primary goal of INVENTOR is to better understand the physics of noise generated by LGs and HLDs thanks to the intensive use of new, advanced numerical methods.
The ultimate goal is to decrease the external noise from the business jet and short-medium range transport aircraft through the development of innovative low-noise installed LG and HLD components as well as new promising NRTs, thus contributing to the achievement of the Flightpath 2050 goals pursued by ACARE SRIA on aviation noise. The main Key Performance Indicator in terms of noise reduction will be to lower far-field noise generated by installed LGs and HLDs at landing/approach by respectively 2-3 and 1dB(A). Considering an equal contribution of engine and airframe to noise, we aim to reach an overall gain of about 1 dB(A) on full aircraft extrapolation in approach certification conditions.
More information can be taken from https://w3.onera.fr/inventor/
ENODISE is a low-to-mid-TRL enabler project, meant to develop the knowledge, data, tools, and methods that are necessary to understand, model, and optimize engine-airframe aerodynamic and acoustic installation effects. The focus is on the following innovative architectures bringing a tighter integration of the propulsive system with the wing, fuselage, or control surfaces:
- partly buried engines, where boundary layer ingestion affects the aerodynamic and acoustic performance;
- distributed propulsion systems mounted on fixed or tilted pylons, in puller/pusher configurations on a fixed-wing airframe or on a control surface to achieve vectorial thrust;
- multi-copter configurations with co- or contra-rotating tandem rotors.
More information can be taken from https://www.vki.ac.be/index.php/events-enodise
Further EU projects, DJINN establishes contacts with:
SENECA – (LTO) noiSe and EmissioNs of supErsoniC Aircraft“ – running from 01/01/2021 to 31/12/2024, specializes in the environmental impact of supersonic aircraft with a main focus on noise and emissions in the vicinity of airports and the global climate impact of supersonic aviation.
The driving objectives are:
- MDO of 4 SST platforms (bizJET 1.4 & 1.6 + airliner 1.8 & 2.2) regarding LTO noise,
emissions, performance and environmental impact
- Investigation of specific supersonic engine technologies regarding noise and
- Quantify the climate impacts of a potential supersonic fleet
- Deliver reliable data and recommendations for emission and noise certification
regulations ensuring environmentally friendly supersonic aviation.
ARTEM – Aircraft noise Reduction Technologies and related Environmental iMpact – is a four-year research project (started at 1/1/2017), devoted to the development of novel noise reduction technologies for low-noise 2035 and 2050 aircraft configurations.
ARTEM stands for the development of innovative technologies for the reduction of aircraft noise at the source. The approach moves beyond the reduction of isolated noise sources as pure fan or landing gear noise and addresses the interaction of various components and sources.
Moreover, ARTEM addresses innovative concepts for the efficient damping of engine noise and other sources by the investigation of dissipative surface materials and liners. The development work contains a down select of these technologies by comparative testing in a single relevant test setup. In addition, noise shielding potential for future aircraft configurations will be investigated.
The noise reduction technologies will be coupled to the modelling of future aircraft configurations as the blended wing body (BWB) and other innovative concepts with integrated engines and distributed electrical propulsion.
More information can be taken from the ARTEM website
TurboNoiseBB – Validation of improved turbomachinery noise prediction models and utilization of novel design methods for fan stages with
reduced broadband noise – is/was a 4-years project that was finalized in August 2020.
The strategic objectives follow a response to the EC-Call ‘Mobility for Growth’, under the topic, ‘Enhancing resource efficiency of aviation’. The research and innovation action is targeted at the reduction of noise at the source. It supports the EC objective of reducing perceived noise by 50% and 65% in the short (ACARE Vision 2020) and long-term (Flightpath 2050) respectively.
The quantitative objective of TurboNoiseBB is to provide a 3 dB reduction at source on fan noise alone with the plan to raise the TRL of innovative low noise OGV concepts from 2-3 up to 4-5 by performing large scale fan rig tests. High fidelity CFD/CAA computations will also advance the state-of-the-art CFD/CAA broadband noise design methods to a higher level to be integrated within industry-exploitable tools.
More information can be taken from https://www.dlr.de/at/en/desktopdefault.aspx/tabid-13152/22980_read-53340/
MORE&LESS – MDO and REgulations for Low-boom and Environmentally Sustainable Supersonic Aviation – is a European plus US project aiming at
- Advancing further high-fidelity environmental modelling integrated into multi-disciplinary optimization of supersonic aircraft, trajectories and operations.
- Assessing and exploring physics-based pathways to decrease noise and emissions at airport/local and global level.
- Quantifying the efficiency of sonic boom shaping in terms of various boom effects.
- Exploring further the characterisation of indoor boom annoyance (relevant metrics, measurements devices and locations), in collaboration with EASA and other
national and international agencies.
- Quantifying sonic boom variability due to meteorology, turbulence, urban environment and buildings and address the development of certification processes that take into consideration the stochastic nature of sonic boom.
- Developing at European or International level, accepted and validated modelling tools that capture the physics of the generation and propagation of sonic booms.
ANIMA is a constantly evolving project, dealing with a global issue which affects thousands of people. Connecting with stakeholders and experts throughout the process is a vital part of the project to ensure relevant and timely solutions and tools. If you feel you can contribute to our goals or have new research or information you think could help inform the project we would love for you to get in touch with us.
ANIMA is a comprehensive research project which addresses a critical issue for Europe: Aviation noise. It is granted and supported by the Horizon 2020 Research and Innovation Programme of the European Union. The emphasis is to step forward on this issue because it is pinpointed at the crossroad of two European priorities: the capacity of the Union to ensure the highest environmental standards of well-being and living conditions for EU citizens and the EU global leadership on industries and services for mobility and air transport.
More information can be taken from https://anima-project.eu
These are further important links in reference to the DJINN project
European Commission – Funding and Tender Portal
INEA (Innovation and Networks Executive Agency)
Open Science in Europe
CORDIS – Research Results
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