Multi-scale correlation of impact-induced defects in carbon fiber composites using X-ray scattering and machine learning

Multi-scale correlation of impact-induced defects in carbon fiber composites using X-ray scattering and machine learning

Abstract Impact-induced defects in carbon fiber-reinforced polymers (CFRPs)-spanning from nanometer to macroscopic length scales-can be monitored using an aggregate of X-ray-based methods, but this is impractical in typical field conditions. We report on a low-velocity impacted CFRP, which is mapped...

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Bibliografiska uppgifter
Huvudupphovsmän: Alexander H. Sexton, Heikki Suhonen, Mathias K. Huss-Hansen, Hanna Demchenko, Jakob Kjelstrup-Hansen, Matthias Schwartzkopf, Matti Knaapila
Materialtyp: Artikel
Språk:English
Publicerad: Nature Portfolio 2024-10-01
Serie:Scientific Reports
Länkar:https://doi.org/10.1038/s41598-024-76105-6

Internet

https://doi.org/10.1038/s41598-024-76105-6

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