[HTML][HTML] The use of X-ray computed tomography for design and process modeling of aerospace composites: A review

K Naresh, KA Khan, R Umer, WJ Cantwell - Materials & Design, 2020 - Elsevier
Optimization of process parameters of major aerospace composites manufacturing
techniques is essential for manufacturing high-quality aerospace components. However …

Advances in composite forming through 25 years of ESAFORM

P Boisse, R Akkerman, P Carlone, L Kärger… - International Journal of …, 2022 - Springer
The increase in the number of structural applications of composite materials, especially in
the aerospace and automotive industries, has led to a demand for robust models to simulate …

Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning

A Badran, D Marshall, Z Legault, R Makovetsky… - Journal of Materials …, 2020 - Springer
A deep learning procedure has been examined for automatic segmentation of 3D
tomography images from fiber-reinforced ceramic composites consisting of fibers and matrix …

[HTML][HTML] Application of X-ray computed tomography for the virtual permeability prediction of fiber reinforcements for liquid composite molding processes: A review

MA Ali, R Umer, KA Khan, WJ Cantwell - Composites Science and …, 2019 - Elsevier
X-ray computed tomography (XCT) combined with computer simulations have proved to be
an extremely powerful and versatile tool for material characterization in recent years. The …

Capillary effects in fiber reinforced polymer composite processing: a review

H Teixidó, J Staal, B Caglar, V Michaud - Frontiers in Materials, 2022 - frontiersin.org
Capillarity plays a crucial role in many natural and engineered systems, ranging from
nutrient delivery in plants to functional textiles for wear comfort or thermal heat pipes for heat …

[HTML][HTML] Deconsolidation of carbon fiber-reinforced PEKK laminates: 3D real-time in situ observation with synchrotron X-ray microtomography

L Amedewovo, L Orgéas, BP Du Plessix… - Composites Part A …, 2024 - Elsevier
Deconsolidation of carbon-fiber reinforced thermoplastic laminate occurs while (pre) heating
the materials during their forming processes. Pores nucleate, grow and lead to degradations …

[HTML][HTML] Deep learning-based microstructure analysis of multi-component heterogeneous composites during preparation

H Li, C Wei, Z Cao, Y Zhang, X Li - Composites Part A: Applied Science and …, 2024 - Elsevier
Monitoring microstructure evolution during the preparation has always been a difficult
problem in the modification studies of SiC composite matrix. Here, we used X-ray …

Stress field and damage evolution in C/SiC woven composites: Image-based finite element analysis and in situ X-ray computed tomography tests

S Ai, W Song, Y Chen - Journal of the European Ceramic Society, 2021 - Elsevier
The construction and examination of meso-structural finite element models of a Chemical-
Vapor-Infiltrated (CVI) C/SiC composite is carried out based on X-ray microtomography …

Validation of deep learning segmentation of CT images of fiber-reinforced composites

A Badran, D Parkinson, D Ushizima, D Marshall… - Journal of Composites …, 2022 - mdpi.com
Micro-computed tomography (µCT) is a valuable tool for visualizing microstructures and
damage in fiber-reinforced composites. However, the large sets of data generated by µCT …

[HTML][HTML] A fiber-segmentation algorithm for composites imaged using X-ray microtomography: Development and validation

PJ Creveling, WW Whitacre, MW Czabaj - Composites Part A: Applied …, 2019 - Elsevier
This study proposes a new algorithm for three-dimensional segmentation of fibers in multi-
directional fiber-reinforced composites (FRCs) imaged using X-ray microtomography (µCT) …