NEXTAIR - multi-disciplinary digital - enablers for NEXT-generation AIRcraft design and operations

Informations projet

NEXTAIR

N° de convention de subvention: 101056732

DOI

10.3030/101056732

Date de signature de la CE 11 Mai 2022

Date de début 1 Septembre 2022

Date de fin 31 Decembre 2025

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 4 720 526,75

Contribution de l’UE

€ 4 720 525,00

Coordonné par

OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALES
France

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (2)

Assessment of transition models & their adjoints

Development of the Adjoints to the Transition Models used in NEXTAIR. Presentation of results on the NLF wing, comparisons, assessement of the use of the adjoint to the transition model in terms of the accuracy of objective function gradients. Linked to task 1.2.

DENs to Speed-up MDOs

Report on the benefits from (b) linking the NEXTAIR s/w with EuroHPC programs, (b) using multi-level approaches in MDO, (c) mesh adaptation in laminar wing cases, (d) computing Pareto fronts by adjoint. Report on techniques to reduce the cost of unsteady adjoint. All with demonstration in NEXTAIR cases. Linked to task 1.3.

Demonstrators, pilots, prototypes (1)

Instant CFD demonstrator on NACA0012 design and ONERA M6 wing cases (publicly available)

Demonstrators of (i) a hybrid deep learning and multi-ridge framework that can predict entire RANS flow-field instanteously (ii) dimension reduction methods for flow-fields rooted in computational optimal transport and manifold optimisation; and (iii) lambda-DNN based approach for fluid flow-field and interactions. The outputs will directly feed into the robust design of a high bypass-ratio fan in WP4/WP5, along with the Digital Twin of the heat exchanger in task 6.3. The lambda-DNN approach will be deployed in WP3/4. Linked to methodologies devloped in task 2.1.

Websites, patent fillings, videos etc. (1)

Communication kit (social media, website, flyer, video)

Creation and delivery of the complete visual identity materials to partners in order to ensure the transfer of a recognisable and coherent image of the project in all communication and dissemination activities. Linked to task 7.2.

Publications

Conference proceedings (4)

AN ADJOINT BODY-FORCE APPROACH FOR FULLY-COUPLED AERO-PROPULSIVE OPTIMIZATIONS

Auteurs: Cyril Dosne; Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti and Jacques Peter.
Publié dans: Eccomas Proceedia EUROGEN (2023), 2023
Éditeur: ECCOMAS
DOI: 10.7712/140123.10197.18932

COMPARISON OF EFFICIENT UNCERTAINTY QUANTIFICATION TECHNIQUES ON A TRANSONIC AIRFOIL, USING RANS COMPUTATIONS AND ADJOINT METHOD

Auteurs: Quentin Bennehard, Jacques Peter, and Marco Carini
Publié dans: Eccomas Proceedia EUROGEN (2023), Numéro 15, 2023
Éditeur: ECCOMAS
DOI: 10.7712/140123.10196.18920

Enhancing Decision Making in MDO through Interactive Visual Analytics on the Web

Auteurs: Henriques-Gil, Javier and Mejia Parra, Daniel and Simoes, Bruno
Publié dans: Proceedings of the 28th International ACM Conference on 3D Web Technology, Numéro Web3D '23, 2023, ISBN 9798400703249
Éditeur: Association for Computing Machinery
DOI: 10.1145/3611314.3615906

A First Assessment of Adjoint Body-Force Modeling Capabilities for Fan Design

Auteurs: Cyril Dosne, Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti and Jacques Peter
Publié dans: AIAA, Numéro AIAA 2024-2640, 2024
Éditeur: AIAA 2024-2640
DOI: 10.2514/6.2024-2640

Peer reviewed articles (2)

Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties

Auteurs: Marina G. Kontoua, Varvara G. Asoutia, Kyriakos C. Giannakogloua
Publié dans: Fluids, Numéro 8(11), 292, 2023, ISSN 2311-5521
Éditeur: MDPI
DOI: 10.3390/fluids8110292

Heat Transfer Analysis of Damaged Shrouded High-Pressure Turbine Rotor Blades

Auteurs: Carta, M., Ghisu, T., Shahpar, S.
Publié dans: Int. J. Turbomach. Propuls. Power, Numéro 8 (3), 2023, ISSN 2504-186X
Éditeur: MDPI
DOI: 10.3390/ijtpp8030024