Results 201 to 210 of about 920,960 (399)

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

open access: yesAdvanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker   +5 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

LOYALTY PROGRAM [PDF]

open access: yes, 2014
Pilova, Kateryna, Topol', A.
core  

Effects of Switching Barriers on Satisfaction, Repurchase Intentions and Attitudinal Loyalty [PDF]

open access: yes
The positive effect of customer satisfaction on repurchase intentions and attitudinal loyalty has been shown in numerous studies. The effect of switching barriers on these variables, however, has been subject to much less attention from researchers.
Julander, Claes-Robert   +1 more
core  

An Examination of Aerosol Jet‐Printed Surface Roughness and its Impact on the Performance of High‐Frequency Electronics

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley   +1 more source

Statistical Distributions of Morphologically Classified Defects in Metal Additive Manufacturing with Implications for Fatigue Life Prediction

open access: yesAdvanced Engineering Materials, EarlyView.
Morphological features of three defect types in metal additive manufacturing (AM)—lack of fusion, keyhole, and gas‐entrapped pores—are statistically characterized using best‐fit distributions evaluated via coefficient‐of‐determination, Kolmogorov–Smirnov test, and quantile–quantile plots.
Ahmad Serjouei, Golnaz Shahtahmassebi
wiley   +1 more source

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