SOURCE-LINKED INTELLIGENCE
Hyperconnected simulation ecosystem supporting probabilistic design and predictive manufacturing of next generation aircraft structures
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. Inter
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 5956880
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.