Results 61 to 70 of about 5,543,917 (241)

Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy

Advanced Engineering Materials, EarlyView.
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa, Jeverton L. Paixão, Daylla S. Silva, Bruno S. Sobral, Mucio D. de Medeiros, José E. Spinelli, Bismarck L. Silva   +6 more
wiley   +1 more source

Classification of Gesture Electromyography by Dynamic Mode Decomposition

IEEE Access
Accurate classification of hand gestures from surface electromyography (sEMG) signals is essential for human-computer interaction and myoelectric prosthetic control, yet conventional feature-extraction methods struggle to capture the temporal dynamics of
Alberta Ashitey, Williams Ayivi, Joan Amos Toluwani, Peng Ren   +3 more
doaj   +1 more source

Dynamic Characteristics of a Gear System with Double-Teeth Spalling Fault and Its Fault Feature Analysis

Applied Sciences, 2020
Tooth spalling is one of the most destructive surface failure models of the gear faults. Previous studies have mainly concentrated on the spalling damage of a single gear tooth, but the spalling distributed over double teeth, which usually occurs in ...
Luojie Shi, Juan Wen, Baisong Pan, Yongyong Xiang, Qi Zhang, Congkai Lin   +5 more
doaj   +1 more source

Cryogenic Deformation Behavior of TiAl and Insights Into Embrittlement After High‐Temperature Exposure Combined With Secondary Ion Mass Spectroscopy of Near Surface Chemistry

Advanced Engineering Materials, EarlyView.
Near‐surface deuterium enrichment profiles for different microstructural types of TiAl after exposure at 700 °C in a heavy water‐containing environment. The deuterium levels are significantly higher than expected from natural occurrence, indicating that the heavy water dissociated during the exposure treatment and entered the specimens.
Jonathan D. H. Paul, Alexander Welle, Dirk Matthiessen, Michael Oehring, Fritz Appel, Florian Pyczak   +5 more
wiley   +1 more source

Using Empirical Mode Decomposition to Estimate Amplitudes in Noisy Data. [PDF]

Empirical Mode Decomposition, an adaptive data-driven technique which can be used to extract non-stationary signals buried in noise, seldom admits theoretical calculation of the statistical properties of the extracted signals.
Claire Blackman
core  

Influence of Particle Shape and Size in Copper‐Based Low‐Temperature Metallization Paste for Solar Cells

Advanced Engineering Materials, EarlyView.
Particle morphology controls the balance between printability and electrical connectivity in low‐temperature AgCu/Ag metallization pastes. Flake‐shaped AgCu particles form extended low‐resistance contacts, whereas spherical particles favor processability at high metal loading. Fine Ag particles further tune void filling and conductive‐network formation
O. Mhirsi, M. N. Wengenmeyr, J. Bartsch, B. E. Rapp   +3 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition

Computation
Blind Source Separation (BSS) is a significant field of study in signal processing, with many applications in various fields such as audio processing, speech recognition, biomedical signal analysis, image processing and communication systems. Traditional
Gyurhan Nedzhibov
doaj   +1 more source

Latent Diffeomorphic Dynamic Mode Decomposition

We present Latent Diffeomorphic Dynamic Mode Decomposition (LDDMD), a new data reduction approach for the analysis of non-linear systems that combines the interpretability of Dynamic Mode Decomposition (DMD) with the predictive power of Recurrent Neural ...
Bertozzi, Andrea L, Schwenk, Jon, Diepeveen, Willem   +2 more
core   +1 more source

Applications of the dynamic mode decomposition

, 2010
International audienceThe decomposition of experimental data into dynamic modes using a data-based algorithm is applied to Schlieren snapshots of a helium jet and to time-resolved PIV-measurements of an unforced and harmonically forced jet. The algorithm
Li, L, Schmid, P.J., ,, Schmid, P. J., Pust, O., Juniper, MP, O. Pust, Juniper, M.P., Schmid, PJ, Juniper, M. P., Pust, O, M. P. Juniper, Li, L., P. J. Schmid, L. Li   +14 more
core   +1 more source