Description du projet
De nouvelles méthodes informatiques de dynamique des fluides rendent les avions plus silencieux
Plus de 4 millions de personnes dans l’UE sont exposées à des niveaux de bruit de plus de 55 décibels (dB) Lden générés par le transport aérien, alors que des niveaux de bruit supérieurs à 45 dB sont néfastes pour la santé. Et encore, le bruit des moteurs d’avion peut dépasser 140 dB au décollage. Pour réduire ce niveau, le projet DJINN, financé par l’UE, développera une nouvelle génération de méthodes fiables de mécanique des fluides numérique (MFN) pour évaluer les technologies prometteuses de réduction du bruit pour les futurs avions de propulsion intégrés. Il est suggéré d’obtenir une réduction de 5 dB du niveau de crête du bruit d’interaction réacteur-cellule aux basses fréquences. Selon DJINN, comprendre, modéliser et prédire le bruit des avions à réaction constitue la clé pour concevoir des technologies efficaces de réduction du bruit.
Objectif
With the aim of reducing the environmental impact of noise caused by aircraft during take-off, the prediction and mitigation of jet-airframe interaction noise sources remain significant challenges for closely integrated propulsion-airframe architectures.
The ambition of the DJINN project is therefore to develop a new generation of reliable computational fluid dynamics (CFD) methods, most of them belonging to the field of hybrid methods, for assessing promising noise-reduction technologies, with support and validation from reduced-scale experiments. This key ambition is tied to the provision of advanced tools for coupled aerodynamics-aeroacoustics to enable design optimisation in future industrial environments and to reach a new level of noise reduction through a highly collaborative effort.
The DJINN project denotes a breakthrough in designing quieter and greener aircraft through both improved CFD methods and better physical understanding. The ability to understand, model and predict jet-airframe noise is the key to conceive efficient noise reduction technologies and optimise future industrial designs. Important noise reductions of future integrated propulsion aircraft are foreseen with 5 dB reduction of the jet-airframe interaction noise peak level at low frequencies. This objective cannot be reached by investigating the engine/nozzle and airframe systems separately. Improved CFD methods for multi-physics modelling utilizing high-performance computing are expected to reduce design times and costs by around 25% compared to large-scale testing.
The DJINN project will make a major impact on economic and environmental factors and secure the leadership of the European aeronautics industry in the highly competitive global market.
The consortium is formed by major industrial aeronautical companies, well-known research organisations and academic groups, with an SME acting as the coordinator.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamics
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- natural sciencescomputer and information sciencescomputational sciencemultiphysics
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
14163 Berlin
Allemagne
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.