Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images

Z Su, E Decencière, TT Nguyen, K El-Amiry… - npj Computational …, 2022 - nature.com
The segmentation of tomographic images of the battery electrode is a crucial processing
step, which will have an additional impact on the results of material characterization and …

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 …

Unveiling microstructure-property correlations in nuclear materials with high-energy synchrotron X-ray techniques

X Zhang - Journal of Nuclear Materials, 2022 - Elsevier
Understanding the microstructure-property correlation is critical for the performance
evaluation of in-service materials and the development of advanced materials for nuclear …

[PDF][PDF] Improving throughput and image quality of high-resolution 3D X-ray microscopes using deep learning reconstruction techniques

H Villarraga-Gómez, MN Rad, M Andrew… - 11th Conference on …, 2022 - ndt.net
In high-resolution X-ray computed tomography (CT), also known as 3D X-ray microscopy
(XRM), low photon counts can lead to extremely long data acquisition times (in the order of …

Automated defect analysis of additively fabricated metallic parts using deep convolutional neural networks

S Nemati, H Ghadimi, X Li, LG Butler, H Wen… - Journal of Manufacturing …, 2022 - mdpi.com
Laser powder bed fusion (LPBF)-based additive manufacturing (AM) has the flexibility in
fabricating parts with complex geometries. However, using non-optimized processing …

X-ray characterization of real fuel sprays for gasoline direct injection

BA Sforzo, A Tekawade… - Journal of …, 2022 - asmedigitalcollection.asme.org
The effects of fuel blend properties on spray and injector performance has been investigated
in a side-mount injector for gasoline direct injection (GDI) using two certification fuel blends …

Use of fast realistic simulations on GPU to extract CAD models from microtomographic data in the presence of strong CT artefacts

FP Vidal, IT Mitchell, JM Létang - Precision Engineering, 2022 - Elsevier
The presence of strong imaging artefacts in microtomographic X-ray data makes the CAD
modelling process difficult to carry out. As an alternative to traditional image segmentation …

3d autoencoders for feature extraction in X-ray tomography

A Tekawade, Z Liu, P Kenesei, T Bicer… - … on Image Processing …, 2021 - ieeexplore.ieee.org
Real-time steering of time-resolved or in-situ X-ray tomography requires capturing changes
in morphological descriptors in a sample (eg, porosity, particle size, and crack width) during …

[PDF][PDF] Improving scan time and image quality in 3D X-ray microscopy by deep learning reconstruction techniques

H Villarraga-Gómez, A Andreyev, M Andrew… - Proc. 35th ASPE Annual … - academia.edu
Applications of 3D X-ray imaging techniques have expanded from their initial and most
popular field of application, medical diagnostics, to industrial measurements [1]. Recent …

Experimental Investigation of Cavitation-Induced Erosion Using X-Ray Imaging and Tomography

CY Moon, GM Magnotti, BA Sforzo… - Frontiers in …, 2022 - frontiersin.org
High injection pressure in diesel engines can lead to cavitation-induced erosion in injector
nozzles. One important factor affecting the severity of erosion is the fuel and its properties …