Results 11 to 20 of about 3,648,080 (308)

Fast Method for the Iron Losses Prediction in Inverter Fed Induction Motors [PDF]

open access: yes, 2009
In this paper an easy method for the iron loss prediction in PWM inverter fed induction motors is presented. The method was initially proposed and validated for the prediction of the iron losses in non-oriented soft magnetic material with PWM supply ...
A. Boglietti   +5 more
core   +1 more source

Iron Losses Prediction with PWM Supply Using Low and High Frequency Measurements: Analysis and Results Comparison [PDF]

open access: yes, 2008
In this paper, two different methods for iron loss prediction are analyzed. The first method is based on the classical separation of loss contributions (hysteresis, eddy-current, and excess losses).
Gmyrek, Z.   +3 more
core   +1 more source

Experimental characterization of the iron losses variability in stators of electrical machines [PDF]

open access: yes, 2012
Version éditeur disponible à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6172417Manufacturing processes may introduce a significant variability on the magnetic properties of claw pole generator stators.
RAMAROTAFIKA, Rindra   +3 more
core   +1 more source

Analysis of Electric Motor Magnetic Core Loss under Axial Mechanical Stress

open access: yesSensors, 2020
The electrical machine core is subjected to mechanical stresses during manufacturing processes. These stresses include radial, circumferential and axial components that may have significant influence on the magnetic properties and it further leads to ...
L. Ashok Kumar   +6 more
doaj   +1 more source

Finite-Element Modeling and Characterization of Iron Losses in 12 mm Thick Steel Laminations Including the Effect of Cutting

open access: yesIEEE Access, 2021
Iron losses in laser-cut toroidal samples of 12 mm thick steel laminations used in large synchronous motors are studied. Eddy currents in the lamination cross-section are solved with the 2-D finite element method while applying a constitutive law based ...
Ismet Tuna Gurbuz   +7 more
doaj   +1 more source

The Dermal Loss of Iron.

open access: yesExperimental Biology and Medicine, 1950
Summary“Cell poor” and “cell rich” sweat samples from 25 normal subjects have been analyzed (total of 118 determinations). The iron content of “cell poor” sweat was negligible. On the other hand “cell rich” sweat contained a high concentration of iron.
W S, ADAMS, A, LESLIE, M H, LEVIN
openaire   +2 more sources

The Loss and Efficiency Analysis and Research of Interior Permanent Magnet Synchronous Motors for Traction Applications

open access: yesIEEE Access, 2023
An IPMSM with I2V type rotor topology structure is proposed, its loss, efficiency and torque are analyzed and compared with V and IV type. Firstly, the optimized rotor topology structures are used to analyze the no-load air-gap flux density waveform and ...
Lianbo Niu, Mingzhu Zhang
doaj   +1 more source

Calculation for stator loss of high-speed permanent magnet synchronous machine in torque-speed envelope and restraint approach for circulating current in windings

open access: yesCES Transactions on Electrical Machines and Systems, 2018
Iron loss and copper loss are the significant parts of electrical loss of machines, which are the major parts particularly under high frequency condition. High-speed permanent magnet synchronous machines (HS-PMSM) have the benefits of high power density,
Yanan Yu   +3 more
doaj   +1 more source

Ferrous iron formation following the co-aggregation of ferric iron and the Alzheimer's disease peptide β-amyloid (1-42) [PDF]

open access: yes, 2014
For decades, a link between increased levels of iron and areas of Alzheimer's disease (AD) pathology has been recognized, including AD lesions comprised of the peptide β-amyloid (Aβ).
van der Laan, Gerrit   +18 more
core   +1 more source

Stochastic post-processing calculation of iron losses – application to a PMSM [PDF]

open access: yes, 2013
To take account of the uncertainties introduced on the magnetic properties during the manufacturing process, the present work aims to focus on the stochastic modelling of iron losses in electrical machine stators.
RAMAROTAFIKA, Rindra   +5 more
core   +1 more source

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