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

ISBN 10: 373151396X / ISBN 13: 9783731513964

Published by KIT Scientific Publishing, 2025

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.

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Bibliographic Details

• 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: KIT Scientific Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 373151396X
• ISBN 13: 9783731513964
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 32D millimeters 210 millimeters width by 148 millimeters height by 32 millimeters depth
• Weight: 700 grams

About this title

Synopsis

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.