Results 101 to 110 of about 72,987 (312)

A pore-scale study on the drying kinetics and mechanical behavior of particle aggregates [PDF]

, 2018
[EN] A discrete thermo-mechanical drying model is developed to investigate the interaction between the porous structure and the drying characteristics of dense particle aggregates.
Chareyre, B., Tsotsas, E., Pham, T. S., Kharaghani, A.   +3 more
core   +1 more source

Natural Bone‐Derived Ceramic Scaffolds Functionalized with Chitosan‐Gold, Chitosan‐Magnesium, and Chitosan‐Zinc for Enhanced Antibacterial Activity

Advanced Engineering Materials, EarlyView.
This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian, Anh Thi Le, Anh Thi Van Le, Dung My Thi Dang, Tin Chanh Duc Doan, Chien Mau Dang, Martin Bolduc   +6 more
wiley   +1 more source

Drying Kinetics in Solar Dehydration of Tomato

Journal of Sustainable Development of Energy, Water and Environment Systems
Of Mexican households, 44.6% reported some degree of food insecurity in 2023. 39.3% of annual tomato production is lost in the supply chain, even though it is among the top staples of the basic food basket.
Rosa A. Olmos-Cruz, Guillermo Martínez-Rodríguez, Evangelina Sánchez-García   +2 more
doaj   +1 more source

Foam mat drying of mango: Effect of processing parameters on the drying kinetic and product quality

, 2017
This study investigated the foam mat drying process parameters (temperature and concentration of foaming agents, albumin, and an emulsifier blend) and evaluated their effects on drying kinetics, color, carotenoid retention, and solubility of the mango ...
Mauro, Maria Aparecida, Mauro, Maria Aparecida [UNESP], Granda-Restrepo, Diana Maria, Chaux-Gutiérrez, Ana María, Chaux-Gutiérrez, Ana María [UNESP], Santos, Adriana Barbosa, Santos, Adriana Barbosa [UNESP]   +6 more
core   +1 more source

Enhancing Bubble Removal in Geometry‐Optimized Electrodes

Advanced Engineering Materials, EarlyView.
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner, Peter Förster, Alexander Limper, Anselm Brodersen, Matthias Wessling, John Linkhorst   +5 more
wiley   +1 more source

Convective Drying of Apple Enhanced with Microwaves and Ultrasound—Process Kinetics, Energy Consumption, and Product Quality Approach

Applied Sciences
This research explores the drying kinetics of apples, evaluating the impact of convective drying (CV), ultrasonically assisted convective drying (CVUS), and convective–microwave processes (CVMW1 and CVMW2) on energy consumption, drying time, temperature ...
Grzegorz Musielak, Monika Mieszczakowska-Frąc, Dominik Mierzwa   +2 more
doaj   +1 more source

Ultrasound-assisted osmotic dehydration and convective drying of apples: Process kinetics and quality issues

Chemical and Process Engineering, 2016
The aim of the present theme issue was to study the influence of ultrasound enhancement on the kinetics of osmotic dehydration and the effect of convective drying from the point of view of drying time and quality of dried products.
Mierzwa Dominik, Kowalski Stefan J.
doaj   +1 more source

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

Advanced 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, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Modelling the dehydration kinetics of four onion varieties in an oven and a solar greenhouse

Heliyon, 2019
The Oven drying kinetics mathematical modelling of four Senegalese onion varieties is carried out in the temperature range from 50 °C to 70 °C.The R2 (dispersion test) and the χ2 (fit test) between the experimental data and the values predicted by the ...
Ngoné Fall Beye, Cheikhou Kane, Nicolas Ayessou, Cheikh Mouhamed Fadel Kebe, Cheikh Talla, Codou Mar Diop, Abdou Sène   +6 more
doaj   +1 more source

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

Advanced 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, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source