Damage mechanism characterisation of plain weave ceramic matrix composites under in-plane shear using in-situ X-ray micro-CT and deep-learning-based image …

Y Du, D Zhang, L Wang, W Guo, L Wang - Journal of the European Ceramic …, 2024 - Elsevier
This paper investigates the microstructure and damage evolution of plain weave ceramic
matrix composites under in-plane shear using the in-situ X-ray computed tomography …

High-fidelity micromechanical modeling of the effects of defects on damage and creep behavior in single tow ceramic matrix composite

KH Khafagy, A Chattopadhyay - Journal of Composite …, 2023 - journals.sagepub.com
Despite the superior properties of ceramic matrix composites (CMCs), their fabrication
process generates inevitable defects with high density that significantly influence material …

The formation of computed tomography images from compressed sampled one-dimensional reconstructions

GLA Freitas, CJMR Mendes… - Proceedings of the 2021 …, 2021 - dl.acm.org
Compressive Sensing (CS) algorithms are widely adopted for the reconstruction of Magnetic
Resonance images (MRI). Owing to differences in the nature of the measurements …

Super-resolution reconstruction of bone micro-structure micro-CT image based on auto-encoder structure

X Xie, Y Wang, S Li, L Lei, Y Hu… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Computed Tomography (CT) is widely used for screening, diagnostic and image-guided
therapy for clinical and research purposes. The current Finite Element Analysis for Research …

The use of micro-CT in materials science and aerospace engineering

S Fidan - Micro-computed Tomography (micro-CT) in Medicine …, 2020 - Springer
X-ray micro-computerized tomography (micro-CT) is a nondestructive material damage
characterization and evaluation technique capable of 3D visualization of internal damages …

[HTML][HTML] A review of current challenges and case study toward optimizing micro-computed X-ray tomography of carbon fabric composites

A Rashidi, T Olfatbakhsh, B Crawford, AS Milani - Materials, 2020 - mdpi.com
X-ray computed tomography provides qualitative and quantitative structural and
compositional information for a broad range of materials. Yet, its contribution to the field of …

Automated processing of series of micro-CT scans

A De Muynck, M Boone, M Dierick… - … on tomography of …, 2015 - biblio.ugent.be
For some applications of high-resolution X-ray Tomography (micro-CT) scanning, a large set
of similar samples is to be analyzed in order to obtain statistically significant results. The …

[HTML][HTML] Synthetic data generation for automatic segmentation of X-ray computed tomography reconstructions of complex microstructures

A Tsamos, S Evsevleev, R Fioresi, F Faglioni… - Journal of …, 2023 - mdpi.com
The greatest challenge when using deep convolutional neural networks (DCNNs) for
automatic segmentation of microstructural X-ray computed tomography (XCT) data is the …

[HTML][HTML] Detecting micro fractures: A comprehensive comparison of conventional and machine-learning-based segmentation methods

D Lee, N Karadimitriou, M Ruf, H Steeb - Solid Earth, 2022 - se.copernicus.org
Studying porous rocks with X-ray computed tomography (XRCT) has been established as a
standard procedure for the non-destructive characterization of flow and transport in porous …

Deep-layers-assisted machine learning for accurate image segmentation of complex materials

T Davydzenka, D Sinclair, N Chawla… - Materials …, 2022 - Elsevier
In materials science, X-ray micro-computed tomography (μCT) imagery provides a unique
tool for quantitative and qualitative characterization of structure and performance. The …