Results 151 to 160 of about 22,588 (315)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Investigation of mechanical and tribological properties of NiCrAlY/ZrO2-Y2O3 coatings obtained by detonation spraying

open access: yesҚарағанды университетінің хабаршысы. Физика сериясы
In this study, multilayer gradient NiCrAlY/ZrO2-Y2O3 coatings obtained by detonation spraying in 1D (spot sputtering) and 2D (full-surface scanning sputtering) modes were investigated.
Д.Б. Буйткенов   +4 more
doaj   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

Development of porous-ceramic hydrostatic bearings [PDF]

open access: yes, 2003
Porous-ceramic hydrostatic bearings have been recently developed. These bearings have demonstrated an exceptional overall performance when compared with conventional technology bearings.
Durazo-Cardenas, Isidro
core  

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi   +5 more
wiley   +1 more source

Compatibility of Methacrylate Based Resins Controls Interfacial Failure and Toughness in 3D‐Printed Multimaterial Composites

open access: yesAdvanced Engineering Materials, EarlyView.
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim   +3 more
wiley   +1 more source

Feasibility of Nitrogen as a Carrier Gas for Inconel Cold Spray in Hydropower Application

open access: yesAdvanced Engineering Materials, EarlyView.
N2, despite being nearly two orders of magnitude cheaper than He, is a feasible carrier gas for cold spray Inconel coatings in hydropower repair applications when higher gas temperature and pressure are used. Reducing powder size significantly improved cavitation resistance, while the addition of fine chromium carbide particles further enhanced erosion
Tianhao Wang   +4 more
wiley   +1 more source

Investigation of a ceramic metal matrix composite functional surface layer manufactured using gas tungsten arc welding [PDF]

open access: yes, 2014
Wear resistant surfaces with high toughness and impact resistant properties are to be created to improve the life cycle cost of brake discs for trains. A potential solution to this industrial problem is to use an arc cladding process.
Herbst, Stephan
core  

Microstructure and Wear Properties of Micro Arc Oxidation Ceramic Coatings. [PDF]

open access: yesMaterials (Basel), 2020
Qi X   +5 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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