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 …
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
In materials science, X-ray micro-computed tomography (μCT) imagery provides a unique
tool for quantitative and qualitative characterization of structure and performance. The …
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 …
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 …
(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
Laser powder bed fusion (LPBF)-based additive manufacturing (AM) has the flexibility in
fabricating parts with complex geometries. However, using non-optimized processing …
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 …
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
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 …
modelling process difficult to carry out. As an alternative to traditional image segmentation …
3d autoencoders for feature extraction in X-ray tomography
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 …
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
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 …
popular field of application, medical diagnostics, to industrial measurements [1]. Recent …
Experimental Investigation of Cavitation-Induced Erosion Using X-Ray Imaging and Tomography
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 …
nozzles. One important factor affecting the severity of erosion is the fuel and its properties …