Novel thresholding method and convolutional neural network for fiber volume content determination from 3D <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si32.svg" display="inline" id="d1e1466"><mml:mi mathvariant="normal">μ</mml:mi></mml:math>CT images-Reference-Cited by-同舟云学术

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Novel thresholding method and convolutional neural network for fiber volume content determination from 3D μCT images

Published:2024-06 Issue: Volume:144 Page:103067
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Blarr Juliane^ORCID,Kunze Philipp,Kresin Noah,Liebig Wilfried V.,Inal Kaan,Weidenmann Kay A.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Reference66 articles.

1. Polymer engineering 2;Schüle,2020

2. Konstruieren mit Faser-Kunststoff-Verbunden: Mit 39 Tabellen;Schürmann,2007

3. Thermoplastic composites — recyclable and fast to process;Stewart;Reinforced Plast,2011

4. Carbon fiber versus glass fiber reinforcements: A novel, true comparison in thermoplastics;Chu;Polym Compos,2021

5. Implementation and comparison of algebraic and machine learning based tensor interpolation methods applied to fiber orientation tensor fields obtained from CT images;Blarr;Comput Mater Sci,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep convolutional generative adversarial network for generation of computed tomography images of discontinuously carbon fiber reinforced polymer microstructures;Scientific Reports;2024-04-26

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