Results 191 to 200 of about 107,633 (324)

Mechanisms of Increasing Weld Depth during Temporal Power Modulation in High‐Power Laser Beam Welding

open access: yesAdvanced Engineering Materials, EarlyView.
Temporal power modulation increases weld depth in high‐power laser beam welding of dissimilar round bars by nearly 20% compared to same average continuously welded welding power. The mechanism of action also applies to sheet welding and depends on the inertia of keyhole depth for the modulated laser beam power.
Jan Grajczak   +7 more
wiley   +1 more source

From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, the wear and fatigue behavior of repaired bearing raceways with a new powder alloy is investigated using a FE8 test‐rig and an oscillating tribometer. The tests are compared with industrial manufactured bearings to evaluate the repair quality. The repair can extend the service life of the repaired bearing to that of a new bearing and improves ...
Felix Saure   +3 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

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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