Representation of anisotropic magnetic characteristic observed in a non-oriented silicon steel sheet

Upadhaya, Brijesh; Perkkiö, Lauri; Rasilo, Paavo; Belahcen, Anouar; Handgruber, Paul; Arkkio, Antero

doi:10.1063/5.0009554

Cited by 8 publications

(4 citation statements)

References 41 publications

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“…There are several vector adaptations of the Jiles-Atherton model to simulate rotational fields and directional dependence [133,[168][169][170][171].…”

Section: Vector Adoptions Of the Modelmentioning

confidence: 99%

Review of Hysteresis Models for Magnetic Materials

Mörée

Leijon

2023

Energies

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There are several models for magnetic hysteresis. Their key purposes are to model magnetization curves with a history dependence to achieve hysteresis cycles without a frequency dependence. There are different approaches to handling history dependence. The two main categories are Duhem-type models and Preisach-type models. Duhem models handle it via a simple directional dependence on the flux rate, without a proper memory. While the Preisach type model handles it via memory of the point where the direction of the flux rate is changed. The most common Duhem model is the phenomenological Jiles–Atherton model, with examples of other models including the Coleman–Hodgdon model and the Tellinen model. Examples of Preisach type models are the classical Preisach model and the Prandtl–Ishlinskii model, although there are also many other models with adoptions of a similar history dependence. Hysteresis is by definition rate-independent, and thereby not dependent on the speed of the alternating flux density. An additional rate dependence is still important and often included in many dynamic hysteresis models. The Chua model is common for modeling non-linear dynamic magnetization curves; however, it does not define classical hysteresis. Other similar adoptions also exist that combine hysteresis modeling with eddy current modeling, similar to how frequency dependence is included in core loss modeling. Most models are made for scalar values of alternating fields, but there are also several models with vector generalizations that also consider three-dimensional directions.

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“…There are several vector adaptations of the Jiles-Atherton model to simulate rotational fields and directional dependence [133,[168][169][170][171].…”

Section: Vector Adoptions Of the Modelmentioning

confidence: 99%

Review of Hysteresis Models for Magnetic Materials

Mörée

Leijon

2023

Energies

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“…This process is performed for all the measurement directions. The field strength is averaged because the measurement is B-controlled [31]:…”

Section: Anhysteretic Magnetizationmentioning

confidence: 99%

“…The anisotropic JA model (AJAM) utilizes the anhysteretic magnetization from alternating BH measurements in seven directions: 0 • , 15 • , 30 • , … , 90 • [30]. Moreover, the JA model's parameters vary as a function of the magnitude and polar direction of the flux density [31]. The unidirectional alternating BH measurements are used to estimate the JA model's parameters.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Level Validation of an Anisotropic Hysteresis Model for Non-Oriented Electrical Steel Sheets

et al. 2022

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“…Here, we focus on the macroscopic anisotropy of NO steel displayed from experiment. According to extensive experimental results [20][21][22][23], NO steel exhibits complicated anisotropic behavior dependent on magnetic flux density level and frequency. Since the scope of this paper is rate-independent field, we only discuss the trajectory of H under circular B at quasi-static frequency, which gives information about the macroscopic anisotropy.…”

Section: B Macroscopic Anisotropy Analysis Of No Steelmentioning

confidence: 99%

A Modified Inverse Vector Hysteresis Model for Nonoriented Electrical Steels Considering Anisotropy for FEA

Yue

Anderson

et al. 2021

IEEE Trans. Energy Convers.

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This paper presents a modified Mayergoyz-based vector hysteresis model to describe the anisotropic material behavior of nonoriented (NO) steels over a wide range of rotational excitations. The proposed model adopts a new representation of a vector Everett function, which is actually an elliptical interpolation motivated by the real anisotropic behavior of NO steel, to deal with the uniaxial anisotropy characteristic, which is especially pronounced at low induction levels. The biaxial anisotropy occurring at high densities is described by a nonlinear coefficient, which is actually a function of the magnitude of magnetic flux density. A systematic identification algorithm is given in detail. The validity of this model is verified through comparison with experimental data under both alternating and rotational excitations. The 2-D finite element analysis (FEA) of incorporating this model into TEAM problem 32 simulation is also illustrated.

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Representation of anisotropic magnetic characteristic observed in a non-oriented silicon steel sheet

Cited by 8 publications

References 41 publications

Review of Hysteresis Models for Magnetic Materials

Review of Hysteresis Models for Magnetic Materials

Finite Element Level Validation of an Anisotropic Hysteresis Model for Non-Oriented Electrical Steel Sheets

A Modified Inverse Vector Hysteresis Model for Nonoriented Electrical Steels Considering Anisotropy for FEA

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