Results 221 to 230 of about 241,409 (296)

Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula   +7 more
wiley   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

open access: yesAdvanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham   +7 more
wiley   +1 more source

Characterization of Aluminized Layers on Inconel‐738 Alloy: Microstructure, Modeling of Aluminizing Kinetics, and Thermal Behavior

open access: yesAdvanced Engineering Materials, EarlyView.
This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe   +4 more
wiley   +1 more source

When STEMI Isn't STEMI: Cardiac Arrest from Aortic Valve Papillary Fibroelastoma - A Case Report. [PDF]

open access: yesClin Pract Cases Emerg Med
Kanaa MWMZ   +3 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy