Results 281 to 290 of about 6,789,886 (346)
Some of the next articles are maybe not open access.

Generalized Dynamic Hysteresis Model for Improved Iron Loss Estimation of Complex Flux Waveforms

IEEE transactions on magnetics, 2019
This paper presents a generalized dynamic hysteresis model for estimating the iron loss of complex flux waveforms. A versatile measurement system is developed to experimentally investigate the magnetic and iron loss properties of the studied soft ...
Le Chang, T. Jahns, Rolf Blissenbach
semanticscholar   +1 more source

Evaluation of Iron Loss of AC Filter Inductor Used in Three-Phase PWM Inverters Based on an Iron Loss Analyzer

IEEE Transactions on Power Electronics, 2016
Hiroaki Matsumori   +2 more
exaly   +2 more sources

The determination of menstrual iron loss

Biochemical Medicine, 1970
Abstract A procedure involving dry ashing and spectrophotometry with thioglycollic acid is described for the determination of iron loss during menstruation. In its development the nonvolatility of iron was checked and wet-oxidation and dry-ashing methods of destroying organic matter compared with special reference to citrated whole blood.
openaire   +2 more sources

Iron loss calculation considering temperature influence in non‐oriented steel laminations

open access: yesIET Science, Measurement and Technology, 2016
Shaoshen Xue, Z Q Zhu, Shuying Guo
exaly   +2 more sources

Estimation of PWM - Induced Iron Loss in IPM Machines Incorporating the Impact of Flux Ripple Waveshape and Nonlinear Magnetic Characteristics

European Conference on Cognitive Ergonomics, 2018
This paper presents an improved estimation model to predict the additional iron loss due to pulsewidth modulation (PWM) switching in interior permanent magnet (IPM) machines.
Le Chang, T. Jahns, Rolf Blissenbach
semanticscholar   +1 more source

Armature Iron Losses in Series Motors

Transactions of the American Institute of Electrical Engineers, 1949
IN AN A-C series motor, the flux pulsation in the field is predominantly at line frequency. The field iron loss can be computed easily and represented by a loss component in the magnetizing current. However, due to the rotation of the armature, the gap flux is rotating relative to the armature, as well as pulsating.
Sheldon S. L. Chang, J. H. Karr
openaire   +1 more source

Characterization and Modeling of Soft Magnetic Materials for Improved Estimation of PWM-Induced Iron Loss

European Conference on Cognitive Ergonomics, 2018
This paper investigates the iron loss properties of soft magnetic materials under conditions of high excitation frequency and varying pre-magnetized dc-bias fields (i.e., different magnetization states).
Le Chang, T. Jahns, Rolf Blissenbach
semanticscholar   +1 more source

Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors

2015 IEEE International Electric Machines & Drives Conference (IEMDC), 2015
This paper addresses the influence of the estimation of hysteresis, eddy current and excess loss coefficients on the prediction of the overall iron losses in traction motors. Two standard iron loss models (according to Bertotti and Jordan) are presented and it is examined how the determination of the corresponding loss coefficients is effecting the ...
Jonathan Juergens   +3 more
openaire   +1 more source

Iron losses in processing tailings

Journal of Mining Science, 2005
For ferruginous quartzite of the Mikhailovsk deposit, the features of mineral composition, iron occurrence, granulometric composition, and opening of phases of stage and total tailings of processing are considered. Extraction of hematite from tailings using combined concentration schemes is one of the variants of complex utilization of mineral source ...
T. N. Gzogyan   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy