Results 241 to 250 of about 246,867 (387)

Enhancing Plasma Electrolytic Oxidation (PEO) Coatings on Magnesium Alloys: The Critical Role of Surface Pretreatments

open access: yesAdvanced Materials Interfaces, EarlyView.
This review explores how various surface pretreatment methods—such as heat treatment, severe plastic deformation, laser modification, immersion, and cold spray—enhance the performance of PEO coatings on magnesium alloys. The study highlights how these pretreatments influence coating microstructure, adhesion, and corrosion resistance, offering new ...
Arash Fattah‐alhosseini   +5 more
wiley   +1 more source

The Influence of Severe Plastic Deformation and Subsequent Annealing on the Microstructure and Hardness of a Cu-Cr-Zr Alloy. [PDF]

open access: yesMaterials (Basel), 2020
Kapoor G   +7 more
europepmc   +1 more source

Durable Low‐Interfacial Toughness PDMS/SiO2 Coatings with Superior Anti‐Icing and Large‐Scale Deicing Performance in the Natural Field

open access: yesAdvanced Materials Interfaces, EarlyView.
Low‐interfacial toughness PDMS/SiO2 coatings are applied to aluminum substrates and tested under natural high‐altitude conditions. The coatings demonstrate strong anti‐icing, icephobic, and large‐scale deicing performance. Field results highlight delayed freezing, reduced ice adhesion, and stable durability, offering practical insights into the use of ...
Tao Zhu   +7 more
wiley   +1 more source

Nanostructure and related mechanical properties of an Al–Mg–Si alloy processed by severe plastic deformation

open access: green, 2008
G. V. Nurislamova   +4 more
openalex   +2 more sources

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek   +7 more
wiley   +1 more source

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