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CAELESTIS

Financiado

Cerrado

Hyperconnected simulation ecosystem supporting probabilistic design and predicti...

Hyperconnected simulation ecosystem supporting probabilistic design and predictive manufacturing of next generation aircraft structures CAELESTIS will develop an end-to-end Interoperable Simulation Ecosystem (ISE) that will perform multidirectional dataflow across the aircraft value chain linking product design and distributed engineering teams´ CAD-CAE tools, to... ver más

31/10/2025

AIMEN

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

ASOC. INVESTIGACION METALURGICA DEL NOROESTE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 5M€

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-04-25

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...

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

12 Participantes

AIMEN

925.63K€ | Lider

ADDCOMPOSITES OY

329.89K€ | Participante

UDG

583.44K€ | Participante

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Duración del proyecto: 42 meses Fecha Inicio: 2022-04-25
Fecha Fin: 2025-10-31

Líder del proyecto

ASOC. INVESTIGACION METALURGICA DEL NOROESTE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 5M€

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto CAELESTIS will develop an end-to-end Interoperable Simulation Ecosystem (ISE) that will perform multidirectional dataflow across the aircraft value chain linking product design and distributed engineering teams´ CAD-CAE tools, to accelerate the design and engineering optimization of disruptive aircraft and engine configurations, ensuring their manufacturability from the design conceptualization. CAELESTIS ecosystem will be developed to integrate, interoperate, and autonomously execute simulation workflows involving a variety of state-of-the-art simulation tools to support the multi-disciplinary design, optimisation as well as uncertainty quantification and propagation across the design and manufacturing chain. The ecosystem will be boosted by HPC infrastructures to massively execute predictions and deliver optimized design and engineering outputs at realistic-time scales. In this regard, high-fidelity model-based digital twins with unprecedented level of detail and covering several production stages and manufacturing deviations will be developed and interconnected. Those will be linked to machine learning tools adapted to HPC simulation outputs to improve detection of manufacturing flaws based on a probabilistic approach to quantify uncertainties and their propagation and influence on structural integrity, as well as identify design for manufacturing interdependencies to provide optimized product topologies. From manufacturing point of view, HPC simulations will be made available at manufacturing shopfloor as reduced order models in online monitoring edge computing devices, to support i) product performance prediction based on detected defects on real time and ii) informed corrective actions to minimize and compensate their effect. Overall, CAELESTIS ISE will contribute to generate optimized and reliable aircraft design configurations, widen the design space and optimize the manufacturing process window and improve production efficiency and inline quality assurance.

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