Results 111 to 120 of about 82,509 (301)

Research on the Winding Losses Based on Finite Element Method for High Frequency Transformer

MATEC Web of Conferences, 2015
The transformer loss is the important factor influencing the transformer operation. The high frequency eddy effects including skin and proximity effects raise the winding losses.
Wang Yongqiang, Zheng Zhihong
doaj   +1 more source

Conducting plate’s eddy-current losses

, 2004
It is assumed that all electromagnetic processes vary in a harmonic way in the laminated corner of the transformer’s magnetic system.It is proved that due to technological air-gaps existing in the laminated corners of power transformers’ magnetic systems, additional eddy-currents originate which are distributed unevenly because of the skin-effect ...
Andriušienė, L., Degutis, A., Kostrauskas, P., Mikalajūnas, D., Kauno technologijos universitetas   +4 more
openaire   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

Detailed Investigation of the Eddy Current and Core Losses in Coaxial Magnetic Gears through a Two-Dimensional Analytical Model

Mathematical and Computational Applications
This work introduces a 2D model that calculates power losses in coaxial magnetic gears (CMGs). The eddy current losses of the magnets are computed analytically, whereas the core losses of the ferromagnetic segments are computed using an analytical–finite
Nikolina Nikolarea, Panteleimon Tzouganakis, Vasilios Gakos, Christos Papalexis, Antonios Tsolakis, Vasilios Spitas   +5 more
doaj   +1 more source

Eddy current losses in a conducting shaft rotating in a magnetic field [PDF]

, 1946
"November 20, 1946."Army Signal Corps Contract No.

core  

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Waveform Relaxation for the Computational Homogenization of Multiscale Magnetoquasistatic Problems

, 2016
This paper proposes the application of the waveform relaxation method to the homogenization of multiscale magnetoquasistatic problems. In the monolithic heterogeneous multiscale method, the nonlinear macroscale problem is solved using the Newton--Raphson
Geuzaine, Christophe, Niyonzima, Innocent, Schöps, Sebastian   +2 more
core   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Discovery and Biosynthesis of the Novel Glycotetrapeptide Antibiotic Biffamycin A

Angewandte Chemie, EarlyView.
Genetic de‐regulation of a silent biosynthetic pathway allowed isolation and characterisation of a novel glycopeptide antibiotic named biffamycin A, which harbours unprecedented 5‐chloro‐4‐methoxy tryptophan and 3R‐hydroxy(α‐D‐mannoysl)‐D‐lysine moieties and is bioactive against MRSA and VRSA.
Michael W. Brigham, Edward S. Hems, Daniel C. L. Van, Justin E. Clarke, Sergey Nepogodiev, Julius S. P. Adamson, Christian Bassi, Michael E. Webb, Glyn R. Hemsworth, Orde Q. Munro, Barrie Wilkinson, Ryan F. Seipke   +11 more
wiley   +2 more sources