Results 181 to 190 of about 5,720,298 (304)

Effect of ultrasound pretreatment on the drying characteristics and quality of Tremella fuciformis under heat pump drying. [PDF]

Ultrason Sonochem
Cao Y, Wu L, Liu J, Xia Q, Deng W, Guo Y, Li Y.   +6 more
europepmc   +1 more source

Ultrasonic assisted far infrared drying characteristics and energy consumption of ginger slices. [PDF]

Ultrason Sonochem, 2023
Zhang D, Huang D, Zhang Y, Lu Y, Huang S, Gong G, Li L.   +6 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Influence of Electrohydrodynamics on Drying Characteristics, Physicochemical Properties, and Texture Characteristics of Potato. [PDF]

Foods
Zhang L, Ding C, Xiong H, Tian T, Zhu L, Dou Y.   +5 more
europepmc   +1 more source

Drying Characteristics and Quality Analysis of Medicinal Herbs Dried by an Indirect Solar Dryer. [PDF]

Foods, 2022
Al-Hamdani A, Jayasuriya H, Pathare PB, Al-Attabi Z.   +3 more
europepmc   +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

Electrohydrodynamic drying of potato (<i>Solanum tuberosum</i> L.): Comparative evaluation of drying characteristics, physicochemical properties and volatile profiles. [PDF]

Food Chem X
Lian J, Ding C, Liu L, Che C, Song Z, Qin C, Lu J.   +6 more
europepmc   +1 more source

Comparative Study on the Influence of Various Drying Techniques on Drying Characteristics and Physicochemical Quality of Garlic Slices. [PDF]

Foods, 2023
Zheng ZA, Wang SY, Wang H, Xiao H, Liu ZL, Pan YH, Gao L.   +6 more
europepmc   +1 more source

Inflammation Unchecked: Concurrent Kawasaki Disease and Stevens‐Johnson Syndrome in an 18‐Month‐Old Child

Arthritis Care &Research, EarlyView.
Catherine Deffendall, Jodi Backalar, Elizabeth Acevedo Zapata, Adriana Della Porta, Lorin Bibb, Tyler Reese, Charlotte M. Brown   +6 more
wiley   +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