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CORDIS

New end-to-end digital framework for optimized manufacturing and maintenance of next generation aircraft composite structures

Descrizione del progetto

La ricerca di un percorso di volo verso la sostenibilità da parte del settore dell’aviazione

I materiali compositi stanno volando in alto e perdendo peso, in particolare nell’industria dell’aviazione. Nonostante la loro leggerezza, essi forniscono resistenza strutturale. Il progetto GENEX, finanziato dall’UE, svilupperà un nuovo quadro end-to-end basato su gemelli digitali e su modelli computazionali migliorati. Questi modelli integrano conoscenze interdisciplinari relative ai componenti aeronautici e ai relativi processi di fabbricazione e riparazione al fine di supportarne l’ottimizzazione. Inoltre, essi consentono lo sviluppo di un sistema di gestione e monitoraggio dello stato di utilizzo e salute durante il funzionamento continuo degli aeromobili allo scopo di garantire la sicurezza e l’aeronavigabilità dei velivoli. Il quadro digitale basato su gemelli digitali sarà implementato in una piattaforma comune di Internet industriale delle cose (IIoT) in modo da integrare i modelli sviluppati.

Obiettivo

GENEX project aims at developing a novel end-to-end digital twin-driven framework based on enhanced computational models, which embed the interdisciplinary knowledge of the aircraft components and the manufacturing/repairing processes, to support the optimized manufacturing of composites parts, enable the continuous operation of aircrafts and improve the composites repairing processes for ensuring aircraft´s safety and airworthiness. First, automated ATL process coupled with THz-based in-process monitoring together with hybrid-twin simulation methods will be developed for eco-efficient and advance manufacturing of innovative reprocessable-repairable-recyclable (3R)-resin-and state-of-the-art thermoplastic composites. Second, innovative data- and physics-based machine learning algorithms for damage detection and location combined with advanced high-performance computing (HPC)-based multi-physics and artificial intelligent-powered digital twin tools for fatigue life prediction, will be implemented to transform information from optimized onboard piezoresistive sensors data networks interfaced with low-power wireless communication platform to health and usage assessment and prognosis. Third, augmented reality tools together with novel laser-assisted methods for surface cleaning and monitoring , smart monitoring and in-situ tailored heating of composite repair blankets will be further developed to provide additional assistance in manual scarf repair operations , increasing reliability of repair process, while supporting the modification and virtual certification of MRO practices. Thus, a novel digital twin-driven framework will be implemented into a common IIoT platform to integrate the developed models and data acquired, providing bidirectional dataflow, and enabling the implementation of a holistic and comprehensive data management methodology ensuring to adequately create, capture, share, and reuse knowledge along the entire aircraft lifecycle.

Meccanismo di finanziamento

HORIZON-RIA -

Coordinatore

INSTITUTO TECNOLOGICO DE ARAGON
Contributo netto dell'UE
€ 986 183,00
Costo totale
€ 986 183,75

Partecipanti (16)

Partner (2)