Results 141 to 150 of about 277,223 (269)

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

Prediction of the Drying Rates of Cassava Slices During Oven Drying [PDF]

open access: yesJournal of Engineering and Applied Sciences, 2010
U.J. Etoamaihe, K.O. Ibeawuchi
openaire   +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

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

open access: yesAdvanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal   +3 more
wiley   +1 more source

Roselle Precision Drying: Comparative Performance of Smart Rotary Drum and Solar Dryers. [PDF]

open access: yesJ Food Sci
Amer A   +5 more
europepmc   +1 more source

Analysis of the Drying Rate during the Falling Rate Period in the Drying of a Bed of Granular and Powdered Materials

open access: yesAnalysis of the Drying Rate during the Falling Rate Period in the Drying of a Bed of Granular and Powdered Materials
Drying mechanism of a bed of granular and powdered materials during the first falling rate period was analysed. The drying rate curves obtained from the present analysis represent sufficiently the experimental drying rate curves. Drying mechanism during the second falling rate period was analysed from the same considerations.
openaire  

Active Corrosion Protection of Sintered AA7075 Aluminum Alloy via Mn Powder Addition

open access: yesAdvanced Engineering Materials, EarlyView.
AA7075 containing Mn‐rich particles is fabricated via spark plasma sintering using AA7075 and Mn powders. Corrosion resistance is evaluated through dip‐and‐dry tests using 0.1 M NaCl (pH 6.0), and mass loss decreases with increasing Mn addition. Mn‐rich particles function as a source of Mn ions, and formation of Mn‐accumulation films on Cu‐containing ...
Ko Ebina, Masashi Nishimoto, Izumi Muto
wiley   +1 more source

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