Results 281 to 290 of about 11,255,110 (351)
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Journal of Magnetism and Magnetic Materials, 2019
High permeability and high saturation magnetization are two key attributes to strong microwave absorption for magnetic loss composites, which depend on the chemical composition, particle size, surface profile, fabrication method, etc.
Y. Lu +9 more
semanticscholar +1 more source
High permeability and high saturation magnetization are two key attributes to strong microwave absorption for magnetic loss composites, which depend on the chemical composition, particle size, surface profile, fabrication method, etc.
Y. Lu +9 more
semanticscholar +1 more source
Magnetic flux detection and identification of bridge cable metal area loss damage
, 2021In the past few decades, many bridges have been built. How to ensure the safety and durability of these bridges has become an important issue in the field of bridge engineering.
Y. Ni, Qiwei Zhang, R. Xin
semanticscholar +1 more source
Journal of Alloys and Compounds, 2019
Microporous Co nanoparticles (NPs) of 22 nm were prepared by dealloying Co−Al NPs, and then were mixed with rGO (5 wt%, 10 wt%, 15 wt%) to produce microporous Co/rGO nanocomposites (MCGNs).
Haoyan Liao, Da Li, Chen Zhou, Tong Liu
semanticscholar +1 more source
Microporous Co nanoparticles (NPs) of 22 nm were prepared by dealloying Co−Al NPs, and then were mixed with rGO (5 wt%, 10 wt%, 15 wt%) to produce microporous Co/rGO nanocomposites (MCGNs).
Haoyan Liao, Da Li, Chen Zhou, Tong Liu
semanticscholar +1 more source
Identifying Hysteresis Losses in Magnetic Media
IEEE Transactions on Magnetics, 2010A magnetic medium can have different hysteresis losses when subject to a rotating field. We discuss the pertinent parameters that determine these losses and a method of identifying them. We discuss the effect of particle interaction, and isotropic and anisotropic media.
E. Della Torre +2 more
openaire +2 more sources
Cobalt doping of bismuth ferrite for matched dielectric and magnetic loss
, 2019We get insight into the atomic-molecular evolution of crystal engineering on BiFeO3 (BFO). Doping a small amount of Co ions into BFO enables us to introduce more oxygen vacancies that transform the dipole configuration.
Min Zhang +6 more
semanticscholar +1 more source
Determination of magnetic losses in planar magnetic elements
2008 18th International Conference on Electrical Machines, 2008This paper aims at presenting several parameters for the determination of magnetic losses in planar magnetic devices. All the figures, equations, and graphics presented were obtained by analytical studies, simulations using finite-element analysis, and mainly through the measurements taken on a magnetic device built for this purpose.
C. L. Ebert +2 more
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Nonlinear Modeling of Magnetization Loss in Permanent Magnets
IEEE Transactions on Magnetics, 2012Permanent magnets are commonly used in electromechanical energy conversion devices, especially in permanent magnet synchronous machines (PMSM). When designing such devices, it is necessary to take account for the operating conditions of the permanent magnets.
Radu Fratila +3 more
openaire +1 more source
1994
The main issues in the research on ac losses in practical superconductors and the developments of the last decade are reviewed. Moreover the impact of the knowledge on the development of superconducting magnet systems as for tokamaks and particle accelerators is discussed.
openaire +2 more sources
The main issues in the research on ac losses in practical superconductors and the developments of the last decade are reviewed. Moreover the impact of the knowledge on the development of superconducting magnet systems as for tokamaks and particle accelerators is discussed.
openaire +2 more sources
Core loss in buried magnet permanent magnet synchronous motors
IEEE Transactions on Energy Conversion, 1989The steady-state core-loss characteristics of buried-magnet synchronous motors operating from a sinusoidal constant frequency voltage supply are investigated. Measured and calculated core loss, with constant shaft load, is shown to increase with decreasing terminal voltage due to an increase in armature reaction-induced stator flux-density time ...
Rich Schiferl, T. A. Lipo
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MagNet: A Machine Learning Framework for Magnetic Core Loss Modeling
Compel, 2020This paper presents a two-stage machine learning framework – MagNet – for magnetic core loss modeling. The first stage of MagNet is a waveform transformation network, which generates 2-D images (tensors) and extracts both the frequency and time domain ...
Haoran Li +5 more
semanticscholar +1 more source