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] Advances and opportunities in high-throughput small-scale mechanical testing

DS Gianola, NM della Ventura, GH Balbus… - Current Opinion in Solid …, 2023 - Elsevier
The quest for novel materials used in technologies demanding extreme performance has
been accelerated by advances in computational materials screening, additive manufacturing …

[HTML][HTML] Experimental characterization of impact damage in foam-core sandwich structures using acoustic emission, optical scanning and X-ray computed tomography …

Y Wang, S Yang, Q Luo, Q Li, G Sun - Composites Part B: Engineering, 2023 - Elsevier
Sandwich structures used in transportation and energy industries are commonly subjected
to low-velocity impact in the course of manufacturing, service and maintenance, which can …

Understanding high-temperature cycling-induced crack evolution and associated atomic-scale structure in a Ni-rich LiNi0. 8Co0. 1Mn0. 1O2 layered cathode material

F Tian, L Ben, H Yu, H Ji, W Zhao, R Monteiro… - Nano Energy, 2022 - Elsevier
X-ray nano-computed tomography (nano-CT) and deep learning combined with Cs-
corrected scanning transmission electron microscopy (STEM) and electron energy loss …

Three-dimensional analysis of particle distribution on filter layers inside N95 respirators by deep learning

HR Lee, L Liao, W Xiao, A Vailionis, AJ Ricco… - Nano …, 2020 - ACS Publications
The global COVID-19 pandemic has changed many aspects of daily lives. Wearing personal
protective equipment, especially respirators (face masks), has become common for both the …

[HTML][HTML] Meso-structure segmentation of concrete CT image based on mask and regional convolution neural network

W Tian, X Cheng, Q Liu, C Yu, F Gao, Y Chi - Materials & Design, 2021 - Elsevier
The meso-damage of concrete structure has an important impact on the macro-damage. X-
ray CT technology, as a non-destructive testing method, is one of great significance to the …

High-throughput micro-CT scanning and deep learning segmentation workflow for analyses of shelly invertebrates and their fossils: Examples from marine Bivalvia

SM Edie, KS Collins, D Jablonski - Frontiers in Ecology and Evolution, 2023 - frontiersin.org
The largest source of empirical data on the history of life largely derives from the marine
invertebrates. Their rich fossil record is an important testing ground for macroecological and …

Deep-learning image enhancement and fibre segmentation from time-resolved computed tomography of fibre-reinforced composites

R Guo, J Stubbe, Y Zhang, CM Schlepütz… - … Science and Technology, 2023 - Elsevier
Monitoring the microstructure and damage development of fibre-reinforced composites
during loading is crucial to understanding their mechanical properties. Time-resolved X-ray …

Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials

Y Hirabayashi, H Iga, H Ogawa, S Tokuta… - npj Computational …, 2024 - nature.com
The microstructure is a critical factor governing the functionality of ceramic materials.
Meanwhile, microstructural analysis of electron microscopy images of polycrystalline …

Material extrusion of highly-loaded silicon nitride aqueous inks for solid infilled structures

WJ Costakis Jr, C Wyckoff, A Schlup, M Wallace… - Additive …, 2023 - Elsevier
The material extrusion technique of direct ink writing (DIW) has garnered recent interest for
the ability to create near-net shapes using polymer and/or ceramic based inks using low …