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Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images

Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für TechnologieVerlag: Karlsruhe, Germany : KIT Scientific Publishing : KIT Scientific Publishing [Imprint], 2025Beschreibung: 1 Online-Ressource (1 electronic resource 372 p.)ISBN:
  • 9783731513964
Schlagwörter: Online-Ressourcen: Zusammenfassung: Discontinuously fiber reinforced polymers exhibit complex microstructures. Quantities to characterize the latter have been developed over time, such as the fiber volume content or fiber orientation distributions, which can be acquired through computed tomography images and subsequent image processing. This thesis deals with the development of (partially AI-based) methods in this context, especially considering challenges of contrast and resolution with carbon fibers and scale-bridging issuesPPN: PPN: 1983953318Package identifier: Produktsigel: ZDB-94-OAB
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Namensnennung 4.0 International CC BY 4.0 cc:

https://creativecommons.org/licenses/by/4.0/

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