Deep learning and integrated approach to reconstruct meshes from tomograms of 3D braided composites
Author:
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference49 articles.
1. Crack spatial distributions and dynamic thermomechanical properties of 3D braided composites during thermal oxygen ageing;Wu;Compos. Appl. Sci. Manuf.,2021
2. Full-field progressive fatigue damage of 3D5D braided composites with yarn-reduction: visualization, classification, and quantification;Liu;Compos. Sci. Technol.,2022
3. On-axis fatigue behaviors and failure characterization of 3D5D braided composites with yarn-reduction using X-ray computed tomography;Liu;Compos. Sci. Technol.,2021
4. Following the effect of braid architecture on performance and damage of carbon fibre/epoxy composite tubes during torsional straining;Chai;Compos. Sci. Technol.,2020
5. Efficient processing of μCT images using deep learning tools for generating digital material twins of woven fabrics;Ali;Compos. Sci. Technol.,2022
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