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 issues.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 issues. 374 pp. Englisch. Seller Inventory # 9783731513964
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Taschenbuch. Condition: Neu. Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images | Juliane Blarr | Taschenbuch | Englisch | 2025 | Karlsruher Institut für Technologie | EAN 9783731513964 | Verantwortliche Person für die EU: KIT Scientific Publishing, Straße am Forum 2, 76131 Karlsruhe, info[at]ksp[dot]kit[dot]edu | Anbieter: preigu. Seller Inventory # 134391324