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GENEX

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Cerrado

New end to end digital framework for optimized manufacturing and maintenance of...

New end to end digital framework for optimized manufacturing and maintenance of next generation aircraft composite structures 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 proce... ver más

28/02/2026

INSTITUTO TECNOLOG...

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

INSTITUTO TECNOLOGICO DE ARAGON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5 | 130K€

Fecha límite participación Sin fecha límite de participación.

Ver 19 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-05-10

HORIZON-CL5-2021-D5-01-06: Next generation digital aircraft tr... ExpectedOutcome:Project results are expected to contribute to at least one of the following expected...

I+D

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Información adicional privada

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19 Participantes

INSTITUTO TECNOLOGICO DE ARA...

986.18K€ | Lider

GACD Action

N.D. | Participante

CAPGEMINI ESPANA SL

556.67K€ | Participante

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Duración del proyecto: 45 meses Fecha Inicio: 2022-05-10
Fecha Fin: 2026-02-28

Líder del proyecto

INSTITUTO TECNOLOGICO DE ARAGON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5 | 130K€

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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