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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
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ArtikelSerie: Utgivningsinformation: Karlsruhe, Germany KIT Scientific Publishing KIT Scientific Publishing [Imprint] 2025Beskrivning: 1 electronic resource (372 p.)Innehållstyp: - text
- computer
- online resource
- 9783731513964
- Technology, Engineering, Agriculture, Industrial processes
- Mechanical engineering and materials
- Mechanical engineering
- Artificial intelligence
- Bildauswertung
- CT images
- CT-Bilder
- Künstliche Intelligenz
- deep learning
- faserverstärkte Kunststoffe
- fiber reinforced polymers
- image processing
- maschinelles Lernen
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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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Creative Commons Licence cc by cc https://creativecommons.org/licenses/by/4.0/
eng
Freely available e-book