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.

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Title: Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images
Publisher: Karlsruher Institut F�r Technologie, Karlsruher Institut F�r Technologie Nov 2025
Publication Date: 2025
Language: English
ISBN 10: 373151396X
ISBN 13: 9783731513964
Binding: Taschenbuch
Condition: Neu
Dimensions: 210 millimeters width by 148 millimeters height by 24 millimeters depth
Weight: 541 grams

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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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