Comparison of Magnetic Field Analysis Methods Considering Magnetic Anisotropy

Tamaki, Tamotsu; Fujisaki, Keisuke; Wajima, K.; Fujiwara, Koji

doi:10.1109/tmag.2009.2033558

Cited by 17 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the GO stator, two-axis anisotropic method is used to model the magnetic anisotropy. It provides satisfactory magnetic field analysis when the material is not magnetically saturated 22) . The magnetic reluctivity νx is the reluctivity of GO in the easy magnetization axis and νy is the reluctivity in the transverse magnetization axis.…”

Section: Methods For Magnetic Field Analysismentioning

confidence: 99%

Anisotropic Magnetic Core for the Iron Loss Reduction of Permanent Magnet Synchronous Motor

et al. 2018

View full text Add to dashboard Cite

An interior permanent magnet synchronous motor (IPMSM) using a stator core made of grain-oriented (GO) anisotropic magnetic material is manufactured to evaluate the potential iron loss reduction that GO can bring compared to the conventionally used non-oriented (NO) quasi-isotropic silicon steel. The stator core is divided into yoke and teeth pieces that are arranged so that the GO material easy magnetization direction follows the main magnetic flux that flows in the core during the motor operation. The motor iron loss is measured under two conditions: 1) the IPMSM is rotated by an external motor ("drag force operation"), 2) the IPMSM is driven by a pulse-width modulation (PWM) inverter without load ("no-load operation"). The manufactured motor shows 13.5 % iron loss reduction during drag force operation and 5 % reduction during no-load operation. Numerical calculation is also carried out by 2-D finite element analysis (FEA) to confirm the experimental data.

show abstract

Section: Methods For Magnetic Field Analysismentioning

confidence: 99%

Anisotropic Magnetic Core for the Iron Loss Reduction of Permanent Magnet Synchronous Motor

et al. 2018

View full text Add to dashboard Cite

show abstract

“…FEA MODELLING OF ANISOTROPY The modelling of electrical steel is still challenging for anisotropic GOES sheets, because of the magnetic characteristics that differ as a function of the magnetisation angle [10]. Several methods for modelling magnetic anisotropy exist [10] [11] [12] [13] [14] [15].…”

Section: Cmentioning

confidence: 99%

Analysis of Flux Density and Iron Loss Distributions in Segmented Magnetic Circuits Made With Mixed Electrical Steel Grades

et al. 2022

View full text Add to dashboard Cite

This paper presents the potential contribution of segmented stator magnetic circuits of rotating permanent magnets electrical machines with concentric winding. Two magnetic materials are mixed, FeSi Non-Oriented Electrical Steel (NOES) and FeSi Grain Oriented Electrical Steel (GOES). The choice of using GOES is based on the high performance it offers in terms of permeability and iron losses compared to conventional NOES, particularly when GOES is magnetised in the Rolling Direction (RD). The goal is to analyse the contribution of the mixed magnetic circuit on the losses and electromagnetic torque, but also the drawbacks due to the cut process and to the assembly. The behaviour of the magnetic field at the junction between the segments is studied by comparing different geometrical connection shapes and compared to a reference magnetic circuit fully made with NOES sheets. This comparison is experimentally made with a model representative of the existing phenomena in an electrical machine. In addition, numerical calculations using finite elements software are carried out, by considering both the magnetic anisotropy and the saturation of the GOES.

show abstract

“…There is very little information in literature regarding characterization of laminations in the normal direction (Xiao et al, 2007;Fujisakin and Tamaki, 2009;Fujisaki et al, 2010;Tamaki et al, 2010;Kato et al, 2009). The authors of this article performed the measurements, which yielded characteristics of magnetization, including the saturation.…”

Section: Introductionmentioning

confidence: 99%

“…Measured magnetizations characteristics of anisotropic magnetic sheet related to the direction tangential to the surface of the sheet are normally provided for different angles of anisotropy. There is very little information in literature regarding characterization of laminations in the normal direction (Xiao et al , 2007; Fujisakin and Tamaki, 2009; Fujisaki et al , 2010; Tamaki et al , 2010; Kato et al , 2009). The authors of this article performed the measurements, which yielded characteristics of magnetization, including the saturation.…”

Section: Introductionmentioning

confidence: 99%

Coupling of the evolution strategy algorithm and genetic algorithm with finite element mesh adaptation

Komęza

Juszczak

Napieralski

et al. 2012

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

View full text Add to dashboard Cite

Purpose -The purpose of this paper is to find a more performing and automated procedure for linking an identification algorithm implemented in a general-purpose environment with a commercial finite-element code for magnetic field analysis. In particular, the use of a multiprocessor computer makes it possible to perform parallel computations keeping the calculation time reasonably low. Design/methodology/approach -The method is applied to identify the B-H curve of anisotropic magnetic laminations in the direction normal to the sheet surface. In total, three different optimization methods have been applied. First an evolution strategy algorithm for solving the identification problem was used; then genetic algorithm (GA) was applied. The results obtained using different methods were compared and discussed. The computation time is reduced by adjusting the refinement of the FEM mesh. Findings -The key point has been the use of a derivative-free and global-search oriented algorithm. Even if a starting point far from the solution is chosen, a suitably large initial value of the search radius makes the convergence possible. The effect of the historical parameter of the minimization algorithm on convergence has also been investigated. Originality/value -The main new idea presented in this paper is equipping a GA-based identification procedure with an additional objective function describing the sensitivity of the flux density against a small perturbation in parameters. This approach gives a multiple objective problem which introduces possibility of choosing a compromise solution among many optimal solutions instead of only one, as in classical GA optimization algorithm. The paper is mainly addressed to readers interested in the efficient use of GA-based identification. IntroductionMeasured magnetizations characteristics of anisotropic magnetic sheet related to the direction tangential to the surface of the sheet are normally provided for different angles of anisotropy. There is very little information in literature regarding characterization of laminations in the normal direction (Xiao et al., 2007;Fujisakin and Tamaki, 2009;Fujisaki et al., 2010;Tamaki et al., 2010;Kato et al., 2009). The authors of this article performed the measurements, which yielded characteristics of magnetization, including the saturation. The method is based on the use of direct excitation current in order to eliminate the presence of eddy currents and thereby avoid distortions in the measurement caused by these currents. The measuring system was built so that the magnetic flux was perpendicular to the sample surface (Kato et al., 2009;Hihat et al., 2011Hihat et al., , 2010. As the flux does not change in time, in order to generate a required electromotive force, the search coil is continuously being moved in and out of the air gap with a constant velocity v. The movement is perpendicular to the principal direction of the flux density. The flux density is measured in the air gap, where the sensor was placed and the measured lamination samples were...

show abstract

Comparison of Magnetic Field Analysis Methods Considering Magnetic Anisotropy

Cited by 17 publications

References 4 publications

Anisotropic Magnetic Core for the Iron Loss Reduction of Permanent Magnet Synchronous Motor

Anisotropic Magnetic Core for the Iron Loss Reduction of Permanent Magnet Synchronous Motor

Analysis of Flux Density and Iron Loss Distributions in Segmented Magnetic Circuits Made With Mixed Electrical Steel Grades

Coupling of the evolution strategy algorithm and genetic algorithm with finite element mesh adaptation

Contact Info

Product

Resources

About