Field diffusion-like representation and experimental identification of a dynamic magnetization property

Maloberti, Olivier; Kedous‐Lebouc, Afef; Geoffroy, O.; Meunier, G.; Mazauric, Vincent

doi:10.1016/j.jmmm.2006.02.260

Cited by 12 publications

(19 citation statements)

References 5 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dynamic hysteresis loops were modelled using a phenomenological damping model similar to approaches presented in Raulet et al (2004), Maloberti et al (2006) and Zirka et al (2006). In the method, the dynamic effects are included in the description by the introduction of the lagged response with respect to the input: Equation 3 where K , ν are constants, whereas H st ( B ) is determined on the basis of the static model equation (2).…”

Section: Model Equationsmentioning

confidence: 99%

Modelling dynamic hysteresis loops in steel sheets

Chwastek

Szczygłowski

Wilczyński³

2009

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

View full text Add to dashboard Cite

PurposeThe aim of the paper is to present a simple approach to modelling minor hysteresis loops in grain‐oriented steel sheets under quasi‐static and dynamic conditions. The hysteresis phenomenon is described with a recently developed hybrid model, which combines ideas inherent in the product Preisach model and the Jiles‐Atherton description. The dynamic effects due to eddy currents are taken into account in the description using a lagged response with respect to the input.Design/methodology/approachIt is assumed that some model parameters might be dependent on the level of relative magnetization within the material. Their dependencies could be given as power laws. The values of scaling coefficients in power laws are determined.FindingsA satisfactory agreement of experimental and modelled quasi‐static and dynamic hysteresis loops is obtained.Research limitations/implicationsThe present study provides a starting point for further verification of the approach for other classes of soft magnetic materials, which could be described with the developed model. At present, the approach to model minor loops by the update of model parameters is verified for the B‐sine excitation case.Practical implicationsThe “branch‐and‐bound” optimization algorithm is a useful tool for recovery of the values of both model parameters and scaling coefficients as well.Originality/valueThe recently developed hybrid description of hysteresis phenomenon can be successfully extended to take into account symmetric minor loops. The developed approach could be a framework to develop a comprehensive description of magnetization phenomena in the future.

show abstract

Section: Model Equationsmentioning

confidence: 99%

Modelling dynamic hysteresis loops in steel sheets

Chwastek

Szczygłowski

Wilczyński³

2009

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

View full text Add to dashboard Cite

show abstract

“…It permits a simple a priori transient introduction of the phenomena (Figure 4), improving both computation time and convergence criteria. Experimental identifications of L can be found elsewhere (Maloberti et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…. operator on Figure 1), we can define a convenient property L (Maloberti et al, 2006), that models the magnetic structure dynamics and the magnetic field H damping (equation ( 3)) (Raulet et al, 2004) due to motion of walls and surrounding microscopic eddy currents (Figure 1). All complexity due to local space variations of microscopic currents loops and due to magnetic objects characteristics (walls surface, density, mobility, .…”

Section: Fields Formulation and Coupling Between Regions 21 Description Of A Dedicated Bulk Formulationmentioning

confidence: 99%

A 3D electric vector potential formulation for dynamic hysteresis and losses

Maloberti

Mazauric

Meunier

et al. 2008

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

Self Cite

View full text Add to dashboard Cite

Purpose -The purpose of this paper is to introduce the dynamic hysteresis and losses of soft magnetic materials in numerical computation of high-sensitive devices. Design/methodology/approach -So as to do this, the authors propose to lump all the microscopic dynamic effects due to averaging and smoothing techniques that lead to the definition of a dynamic field as proposed by other contributions. In this paper, the method to implement the modified field diffusion process in finite element computations is investigated, explained, detailed and put to the test. Findings -In order to take microscopic magnetization reversal processes and eddy currents that damp the field at the mesoscopic scale, the authors have been led to define a new dynamic property L representative of the magnetic structure and its easiness to change. It is involved in an additional term in both the magnetic behaviour law and the bulk and surface coupling formulations describing the physical problem in iron and at the borders. Research limitations/implications -This model can only be used for macroscopic pieces for which each dimension is bigger than at least four times the characteristic length of magnetic domains. Originality/value -The originality of the paper comes from the need to investigate the possibility to predict iron losses and the corresponding dynamic hysteresis during the processing computation of power electrical devices such as accurate sensors and high-sensitive actuators of earth leakage circuit breaker for example.

show abstract

“…Various approaches and models, which range from purely phenomenological to more physically based, were developed in order to model such effects. Different models are presented in [51]- [56], [65]. In this paper, a physical-based approach was considered, as the discussed macroscopic effect resembles viscous-like friction.…”

Section: E Accounting For Additional Microscopic Phenomenamentioning

confidence: 99%

Iron-Loss and Magnetization Dynamics in Non-Oriented Electrical Steel: 1-D Excitations Up to High Frequencies

Petrun

Steentjes²

2020

IEEE Access

View full text Add to dashboard Cite

This paper presents a thorough introduction to and application of the Parametric Magneto-Dynamic (PMD) model of soft magnetic steel sheets. The theoretical background is reviewed, and two different ways are discussed to account for the viscosity-like effects originating from microscopic eddy currents. This is followed by the theoretical calculation of magnetization dynamics and dynamic hysteresis loops in Non-Oriented (NO) electrical steel. Both classical and viscosity-extended approaches are discussed, with respect to the ability of replicating the dynamic hysteresis loop shape and iron-loss under sinusoidal excitation waveforms up to high excitation frequencies. Comparisons against measurements are analyzed for M400-50A and M235-35A NO electrical steel over a wide range of magnetic flux density and excitation frequencies. The proven accuracy and efficiency of the PMD model make it a valuable tool for the calculation of iron losses in electrical machines and transformers, as well as for an in-depth study of magnetization dynamics in individual laminations.

show abstract

Field diffusion-like representation and experimental identification of a dynamic magnetization property

Cited by 12 publications

References 5 publications

Modelling dynamic hysteresis loops in steel sheets

Modelling dynamic hysteresis loops in steel sheets

A 3D electric vector potential formulation for dynamic hysteresis and losses

Iron-Loss and Magnetization Dynamics in Non-Oriented Electrical Steel: 1-D Excitations Up to High Frequencies

Contact Info

Product

Resources

About