Description du projet
Des solutions numériques pour une aviation neutre sur le plan climatique
L’atténuation des répercussions de l’aviation sur le changement climatique nécessite des changements importants dans la configuration et l’exploitation des aéronefs. Les méthodologies numériques qui optimisent les performances des aéronefs joueront un rôle essentiel dans cette transformation. Grâce à huit cas d’essai industriels, le projet NEXTAIR, financé par l’UE, permettra d’élaborer et de valider de nouvelles méthodologies de conception, des procédures de fusion de données et des outils d’évaluation intelligente de la santé. Ensemble, ces solutions conduiront à la transformation numérique de la conception, de la fabrication et de la maintenance des aéronefs. Le projet améliorera les méthodes permettant de mieux faire face à l’incertitude de la fabrication et à l’incohérence des opérations pour la conception industrielle et multidisciplinaire des composants d’aéronefs et de moteurs.
Objectif
Radical changes in aircraft configurations and operations are required to meet the target of climate-neutral aviation. To foster this transformation, innovative digital methodologies are of utmost importance to enable the optimisation of aircraft performances.
NEXTAIR will develop and demonstrate innovative design methodologies, data-fusion techniques and smart health-assessment tools enabling the digital transformation of aircraft design, manufacturing and maintenance. NEXTAIR proposes digital enablers covering the whole aircraft life-cycle devoted to ease breakthrough technology maturation, their flawless entry into service and smart health assessment. They will be demonstrated in 8 industrial test cases, representative of multi-physics industrial design, maintenance problems and environmental challenges and interest for aircraft and engines manufacturers.
NEXTAIR will increase high-fidelity modelling and simulation capabilities to accelerate and derisk new disruptive configurations and breakthrough technologies design. NEXTAIR will also improve the efficiency of uncertainty quantification and robust optimisation techniques to effectively account for manufacturing uncertainty and operational variability in the industrial multi-disciplinary design of aircraft and engine components. Finally, NEXTAIR will extend the usability of machine learning-driven methodologies to contribute to aircraft and engine components' digital twinning for smart prototyping and maintenance.
NEXTAIR brings together 16 partners from 6 countries specialised in various disciplines: digital tools, advanced modelling and simulation, artificial intelligence, machine learning, aerospace design, and innovative manufacturing. The consortium includes 9 research organisations, 4 leading aeronautical industries providing digital-physical scaled demonstrator aircraft and engines and 2 high-Tech SME providing expertise in industrial scientific computing and data intelligence.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- natural sciencescomputer and information sciencescomputational sciencemultiphysics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
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Régime de financement
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
91120 Palaiseau
France