SOURCE-LINKED INTELLIGENCE
REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites
l significantly improve quality control of a wide range of technological materials used in composite materials. Through integration of real-time data analysis and process parameters by application of machine learning, the methods will lend themselves to Industry 4.0 solutions relying on cyber physical systems for decentralized decisions based on actual, current structural properties observed during processing. The real-time access to nanostructure in the diverse applications is provided by specialized X-ray instrumentation. A shared methodology for data reconstruction and machine-learning assisted analysis exploiting prior knowledge and modelling of structural anisotropy, is applied to enable the data reduction speed required to match industrial processing. RELIANCE brings together a consortium of leading international experts in X-ray scattering, imaging and automatized analysis of scattering data, 3D reconstruction algorithms and automatized analysis of imaging data and Materials Applications, with industrial leaders in manufacturing and application of high-performance polymer ma
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2854965.6
- 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.