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2D images of CT scans of carbon fiber reinforced polyamide 6

Blarr, Juliane ORCID iD icon 1; Klinder, Steffen 1
1 Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)


Zugehörige Institution(en) am KIT Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK)
Publikationstyp Forschungsdaten
Publikationsdatum 27.11.2023
Erstellungsdatum 20.11.2023
Identifikator DOI: 10.35097/1822
KITopen-ID: 1000164653
Lizenz Creative Commons Namensnennung 4.0 International
Liesmich

This dataset includes 29280 2D images taken from 3D µCT scans of carbon fiber reinforced polyamide 6. They were generated by augmenting (x4) and cutting (x4) of 1830 single 2D images resulting from 18 different specimens of 2 CFRP plaques. The images were used as training data for a generative adversarial network (GAN) which creates similar microstructural images.

Please find details in the following publication: Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.: Deep convolutional generative adversarial network for
generation of computed tomography images of heterogeneous low-contrast microstructures. Nature Scientific Reports XXX (2024).

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