Segmentation of computed tomography images and high-precision reconstruction of rubber composite structure based on deep learning-Reference-Cited by-同舟云学术

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Segmentation of computed tomography images and high-precision reconstruction of rubber composite structure based on deep learning

Published:2021-09 Issue: Volume:213 Page:108875
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Yang Heng,Wang WenFeng,Shang JiaChen,Wang PanDing,Lei Hongshuai,Chen Hao-sen,Fang DaiNing

Funder

Beijing Institute of Technology Research Fund Program for Young Scholars

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference40 articles.

1. Industrial X-Ray Computed Tomography;Carmignato,2018

2. In situ fibre fracture measurement in carbon–epoxy laminates using high resolution computed tomography;Scott;Compos. Sci. Technol.,2011

3. In situ X-ray micro-computed tomography study of the damage evolution of prefabricated through-holes in SLM-Printed AlSi10Mg alloy under tension;Wang;J. Alloy. Compd.,2019

4. Damage mechanisms in elastomeric foam composites: multiscale X-ray computed tomography and finite element analyses;Croom;Compos. Sci. Technol.,2019

5. Effect of manufacturing defect on mechanical performance of plain weave carbon/epoxy composite based on 3D geometrical reconstruction;Wang;Compos. Struct.,2018

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