Magnetic field estimation

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.

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Direct Magnetic Field Estimation Based on Echo Planar Raw Data

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2010.2048336 ◽

2010 ◽

Vol 29 (7) ◽

pp. 1401-1411 ◽

Cited By ~ 3

Author(s):

Frederik Testud ◽

Daniel Nicolas Splitthoff ◽

Oliver Speck ◽

Jürgen Hennig ◽

Maxim Zaitsev

Keyword(s):

Magnetic Field ◽

Raw Data ◽

Field Estimation ◽

Echo Planar

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Magnetic Field Estimation Using Weighted Multi-Grid Algorithm

10.1063/1.3225429 ◽

2009 ◽

Author(s):

A. Siadatan ◽

H. Shokri-Razaghi ◽

E. Afjei ◽

H. Torkaman ◽

George Maroulis ◽

...

Keyword(s):

Magnetic Field ◽

Field Estimation ◽

Grid Algorithm

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

Proceedings of the International Astronomical Union ◽

10.1017/s1743921317003684 ◽

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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