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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

By Juliane Blarr

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

By Juliane Blarr

- Default Title
Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
374
Release Date:
2025-11-24
Publication Date:
2025-11-24
Publisher:
Karlsruher Institut für Technologie
Languages:
Original: English
ISBN10:
373151396X
ISBN13:
9783731513964
GPSR Manufacturer Reference:
[email protected]
Weight:
541 g
Height:
148 cm
Width:
210 cm
Thickness:
24 cm
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