[HTML][HTML] Generation of 3D representative volume elements for heterogeneous materials: A review

S Bargmann, B Klusemann, J Markmann… - Progress in Materials …, 2018 - Elsevier
This work reviews state of the art representative volume element (RVE) generation
techniques for heterogeneous materials. To this end, we present a systematic classification …

A review of image-based simulation applications in high-value manufacturing

LM Evans, E Sözümert, BE Keenan, CE Wood… - … Methods in Engineering, 2023 - Springer
Abstract Image-Based Simulation (IBSim) is the process by which a digital representation of
a real geometry is generated from image data for the purpose of performing a simulation …

[HTML][HTML] Quantification of the internal structure and automatic generation of voxel models of textile composites from X-ray computed tomography data

I Straumit, SV Lomov, M Wevers - Composites Part A: Applied Science and …, 2015 - Elsevier
X-ray computed tomography provides an opportunity for a detailed examination of the inner
structure of fibre reinforced composites. Three-dimensional images, obtained with micro-CT …

Analytical study on the 3D-printed structure and mechanical properties of basalt fiber-reinforced PLA composites using X-ray microscopy

S Yu, YH Hwang, JY Hwang, SH Hong - Composites Science and …, 2019 - Elsevier
A high-resolution X-ray microscope was used to quantitate the internal morphological
characteristics of 3D-printed, basalt-fiber-reinforced PLA composites. 3D-printed composites …

Characterisation of damage evolution in plain weave SiC/SiC composites using in situ X-ray micro-computed tomography

D Zhang, Y Liu, H Liu, Y Feng, H Guo, Z Hong… - Composite …, 2021 - Elsevier
The paper presents the investigation of microstructures and tensile damage evolution of
plain weave SiC fibre reinforced SiC matrix (SiC/SiC) composites using X-ray computed …

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] 2D and 3D imaging of fatigue failure mechanisms of 3D woven composites

B Yu, RS Bradley, C Soutis, PJ Hogg… - Composites Part A …, 2015 - Elsevier
A detailed investigation of the failure mechanisms for angle-interlocked (AI) and modified
layer-to-layer (MLL) three dimensional (3D) woven composites under tension–tension (T–T) …

[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 …

A review of applications of CT imaging on fiber reinforced composites

Y Gao, W Hu, S Xin, L Sun - Journal of Composite Materials, 2022 - journals.sagepub.com
With the development of X-ray computed tomography over the last few decades, it is
gradually considered to be a powerful tool in the field of materials research. This paper …

[HTML][HTML] Geometrical modelling of 3D woven reinforcements for polymer composites: Prediction of fabric permeability and composite mechanical properties

X Zeng, LP Brown, A Endruweit, M Matveev… - Composites Part A …, 2014 - Elsevier
For a 3D orthogonal carbon fibre weave, geometrical parameters characterising the unit cell
were quantified using micro-Computed Tomography and image analysis. Novel procedures …