Results 261 to 270 of about 12,961,695 (366)

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

open access: yesAdvanced Engineering Materials, EarlyView.
Ice accretion impacts daily life, renewable energy generation, maintenance, and security in industries and aeronautics. Acoustic waves (AW) are a promising method for ice removal, although de‐icing mechanisms require further investigation to optimize energy efficiency.
Shilpi Pandey   +15 more
wiley   +1 more source

Development of a Novel Processing Route for Dispersoid/Precipitation‐Strengthened High Conductive Copper Alloys by Using Metalized Nanoceramics in Additive Manufacturing

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel   +7 more
wiley   +1 more source

A Perspective on Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed Stainless Steels

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker   +5 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Dimensionless Investigations on Energy Conversion and Analysis of Interlayer Time in Laser‐Based Powder Bed Fusion of Polymers for Polyamide 12 with Nanoadditives and Polypropylene

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör   +9 more
wiley   +1 more source

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