Results 51 to 60 of about 31,013 (267)

The particle size distribution (PSD) as criteria for comparison of silver powders obtained by different methods of synthesis and by conditions of electrolysis [PDF]

open access: yesJournal of Mining and Metallurgy. Section B: Metallurgy, 2018
Silver powders produced by both electrochemical (galvanostatic (DC) and potentiostatic (POT) regimes of electrolysis) and chemical processes were examined by scanning electron microscope, and particle size distribution (PSD) of the obtained particles was
Avramović Lj.   +6 more
doaj   +1 more source

Increasing the production capacity of the chp by introducing fuel cells

open access: yesИзвестия высших учебных заведений: Проблемы энергетики, 2023
RELEVANCE. Improving the efficiency of the plant with an increase in operating capacity is one of the priority tasks of the development of power plants. One of the solutions to this issue is the introduction of fuel cells as the main or additional source
E. Yu. Kirshina, I. D. Anikina
doaj   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Hydrogen Environmental Benefits Depend on the Way of Production: An Overview of the Main Processes Production and Challenges by 2050

open access: yesAdvanced Energy & Sustainability Research, 2021
Hydrogen (H2) is presented as an important alternative for clean energy and raw material in the modern world. However, the environmental benefits are linked to its process of production.
Rafael L. Germscheidt   +6 more
doaj   +1 more source

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

Development of Recycling Process for Copper-Gallium Target

open access: yesJournal of MMIJ, 2018
Gallium is used as a raw material for a CIGS solar cell. In the manufacturing process of CIGS solar cells, only 30% of the target material is used, and the rest is not used and becomes a spent target scrap.
Masatoshi TAKANO, Satoshi ASANO
doaj   +1 more source

Combination of Electro- and Radiochemical Processes for Hydrogen and Oxygen Obtaining

open access: yesJournal of Mechanical Engineering, 2023
It is shown that increase in the hydrogen production process efficiency can be ensured by integrating radiochemical and electrochemical processes. In this case, the obtained effect depends not only on the direct radiolysis of water, but also on the ...
Viktor V. Solovei   +2 more
doaj   +1 more source

Process Integration of Green Hydrogen: Decarbonization of Chemical Industries

open access: yesEnergies, 2020
Integrated water electrolysis is a core principle of new process configurations for decarbonized heavy industries. Water electrolysis generates H2 and O2 and involves an exchange of thermal energy.
Mohammad Ostadi   +5 more
doaj   +1 more source

Recent advances in amorphous electrocatalysts for oxygen evolution reaction

open access: yesFrontiers in Chemistry, 2022
Oxygen evolution reaction (OER) has attracted great attention as an important half-reaction in the electrochemical splitting of water for green hydrogen production.
Jinkyu Park, Seonggyu Lee, Seongseop Kim
doaj   +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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