Magnetic field estimation in measurement dead domain for dry calibration of electromagnetic flowmeter

2012 ◽  
Vol 23 (8) ◽  
pp. 085303
Author(s):  
L Hu ◽  
H M Shen ◽  
K M Lee ◽  
X Fu
Keyword(s):  
Magnetic Field ◽  
Electromagnetic Flowmeter ◽  
Field Estimation

Magnetic field estimation

1956 ◽  
Vol 26 (104) ◽  
pp. 240
Author(s):  
G.D. Stairmand
Keyword(s):  
Magnetic Field ◽  
Field Estimation

Magnetic Field Analysis of Surface-Mounted Permanent-Magnet Motors

2011 ◽  
Vol 52-54 ◽  
pp. 285-290
Author(s):  
Yi Chang Wu ◽  
Feng Ming Ou ◽  
Bo Wei Lin
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Magnetic Circuit ◽  
Circuit Model ◽  
Field Analysis ◽  
Permanent Magnet Motors ◽  
Element Analysis ◽  
Magnetic Field Analysis ◽  
Field Estimation ◽  
The Magnetic Field

The prediction of the magnetic field is a prerequisite to investigate the motor performance. This paper focuses on the magnetic field estimation of surface-mounted permanent-magnet (SMPM) motors based on two approximations, i.e., the magnetic circuit analysis and the finite-element analysis (FEA). An equivalent magnetic circuit model is applied to analytically evaluate the magnetic field of a SMPM motor with exterior-rotor configuration. The two-dimensional FEA is then applied to numerically calculate the magnetic field and to verify the validity of the magnetic circuit model. The results show that the errors between the analytical predictions and FEA results are less than 6%. It is of benefit to further design purposes and optimization of SMPM motors.

Dynamic accuracy of the electromagnetic flowmeter

1965 ◽  
Vol 20 (1) ◽  
pp. 142-147 ◽  
Author(s):  
M. F. O'Rourke
Keyword(s):  
Magnetic Field ◽  
Pulsatile Flow ◽  
Output Signal ◽  
Oscillatory Flow ◽  
Electromagnetic Flowmeter ◽  
Sine Wave ◽  
Dynamic Calibration ◽  
Phase Lag ◽  
Dynamic Accuracy ◽  
Sinusoidal Flow

Dynamic calibration of electromagnetic flowmeters was performed by resolving the output signal when sinusoidal flow of known characteristics was pumped through the probe. In two instruments amplitude and phase were found to be frequency dependent in the range 0–20 cycle/sec; the magnitude of these effects was not insignificant as many have assumed. In a sine wave instrument using a variety of probes, both amplitude and phase increased linearly with frequency: the former increasing by 0.57% per cycle per second, the latter by 3.6° per cycle per second. In the square wave flowmeter at 0 damping, amplitude decreased significantly above 5 cycle/sec, while phase lag increased by 4.9° per cycle per second. These effects are concluded to be due to the output filtering network. In the sine wave instrument it was demonstrated that magnetic field nonuniformity within the probe did not alter the accuracy in recording steady or oscillatory flow. It was thus possible to construct a small short flowmeter probe having narrow electromagnet coils, and it is expected that this probe should cause minimal interference to pulsatile flow patterns. magnetic fields flowmeter probes; frequency-response flowmeter Submitted on April 16, 1964

Direct Magnetic Field Estimation Based on Echo Planar Raw Data

2010 ◽  
Vol 29 (7) ◽  
pp. 1401-1411 ◽  
Author(s):  
Frederik Testud ◽  
Daniel Nicolas Splitthoff ◽  
Oliver Speck ◽  
Jürgen Hennig ◽  
Maxim Zaitsev
Keyword(s):  
Magnetic Field ◽  
Raw Data ◽  
Field Estimation ◽  
Echo Planar

Magnetic Field Estimation Using Weighted Multi-Grid Algorithm

2009 ◽  
Author(s):  
A. Siadatan ◽  
H. Shokri-Razaghi ◽  
E. Afjei ◽  
H. Torkaman ◽  
George Maroulis ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Field Estimation ◽  
Grid Algorithm

scholarly journals Estimating the chromospheric magnetic field from a revised NLTE modeling: the case of HR 7428

2016 ◽  
Vol 12 (S328) ◽  
pp. 38-45
Author(s):  
Innocenza Busá
Keyword(s):  
Magnetic Field ◽  
Magnetic Field Intensity ◽  
Primary Component ◽  
Atmospheric Modeling ◽  
Magnetic Pressure ◽  
Hydrostatic Equilibrium ◽  
Distribution Versus ◽  
Field Estimation ◽  
The Stability ◽  
Semi Empirical

AbstractSemi-empirical atmospheric modeling is here used to obtain the chromospheric magnetic field distribution versus height in the K2 primary component of the RS CVn binary system HR 7428. The chromospheric magnetic field estimation versus height comes from considering the possibility of not imposing hydrostatic equilibrium in the atmospheric modeling. The stability of the best Non-hydrostatic equilibrium model, implies the presence of and additive (toward the center of the star) pressure, that decrease in strength from the base of the chromosphere toward the outer layers. Interpreting the additive pressure as magnetic pressure and I derive a magnetic field intensity of about 500 Gauss at the base of the chromosphere.

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