Fractional Scaling of Magnetic Coercivity in Electrical Steels

Najgebauer, Mariusz

doi:10.12693/aphyspola.131.633

Cited by 6 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The presented results indicate that the phenomenon of energy dissipation in Somaloy-type composites confirms its scaling behaviour. In contrast to soft magnetic alloys analyzed in previous papers (Gozdur and Najgebauer, 2015; Najgebauer, 2015; Najgebauer, 2017), the scaling analysis of specific power loss in magnetic composites provides better results for the two-component formulae, which are similar to the theoretical formula resulting from the Poynting theorem, than for the simplified formula – typical for an engineering approach. Thus, only two-component formulae (2) and (3) are investigated in further considerations.…”

Section: Numerical Computations and Discussion Of Resultsmentioning

confidence: 71%

“…The use of formulae (3) and (4) yielded comparable results of the power loss scaling. Because of the lower number of coefficients, formula (4) was then applied in investigations concerning the analysis and modelling of the specific power loss in amorphous, nanocrystalline and magnetocaloric alloys (Gozdur and Najgebauer, 2015; Najgebauer, 2017), providing satisfactory results. The use of a scaling algorithm with fractional exponents has also significantly improved the scaling of magnetic coercivity (Najgebauer, 2017).…”

Section: Scaling Algorithms In Analysis Of Power Lossesmentioning

confidence: 99%

See 1 more Smart Citation

Scaling algorithms in modelling of power loss in soft magnetic composites

Najgebauer

Szczygłowski

Ślusarek

et al. 2019

COMPEL

View full text Add to dashboard Cite

Purpose The purpose of this paper is to examine scaling algorithms in the description and modelling of power loss in soft magnetic composites (SMCs). Design/methodology/approach Three scaling algorithms are examined to determine the most appropriate description of power loss in magnetic composites. The scaling coefficients are estimated in such a way that all measurement data should be collapsed onto a single curve, given in the scaled coordinates. The coefficient estimation is based on a non-linear optimization using the generalized reduced gradient method. The obtained formulae are then used in the power loss modelling. Findings It is revealed that only two-component formulae are suitable for the scaling analysis of power loss because these allow obtaining of the collapse of measurement data. Research limitations/implications This study considers just one type of SMC (Somaloy 700). Further research will be devoted to the verification of the scaling approach to the power loss modelling for other types of magnetic composites. Practical implications The power loss is a basic property of soft magnetic materials, which determines their practical applications. The scaling approach to the power loss modelling gives quite simple models that require a reduced number of measurement data to estimate coefficients. Originality/value The scaling algorithms can be a useful tool in the analysis and designing of magnetic circuits made of SMCs.

show abstract

Section: Numerical Computations and Discussion Of Resultsmentioning

confidence: 71%

Section: Scaling Algorithms In Analysis Of Power Lossesmentioning

confidence: 99%

Scaling algorithms in modelling of power loss in soft magnetic composites

Najgebauer

Szczygłowski

Ślusarek

et al. 2019

COMPEL

View full text Add to dashboard Cite

show abstract

“…Moreover, magnetic losses in these composites will be analyzed using the scaling theory. The scaling theory has been previously applied in the magnetic losses analyzed for electrical steels, amorphous and nanocrystalline ribbons as well as magnetocaloric alloys [13][14][15], which provided interesting and useful results. The losses scaling should allow us to investigate multiscale behaviour of energy dissipation in Fe-polymer composites; to find universal relations between parameters; and finally to model magnetic composites for different Fe-grain size, excitation conditions or technological parameters.…”

Section: Resultsmentioning

confidence: 99%

Analysis of magnetic losses in Fe-polymer composites

Najgebauer

Jakubas

Szczygłowski

2018

Journal of Electrical Engineering

View full text Add to dashboard Cite

The most important properties of soft magnetic materials are peak induction and magnetic losses, determining the size and efficiency of electric devices. Conventional soft magnetic materials are not suitable for the construction of miniaturized magnetic cores. Soft magnetic composites meet miniaturization requirements of electric and electronic devices. In this paper, magnetic losses in self-developed Fe-polymer composites are analyzed. The frequency dependencies of magnetic losses are measured at different level of maximum induction. The influence of Fe-grain size on magnetic losses is also discussed.

show abstract

“…The scaling analysis is also used in materials science, including the study of magnetic material properties such as power loss [30][31][32][33][34], coercivity [35][36][37], magnetic viscosity [38][39][40] or hysteresis loops [41][42][43][44][45].…”

Section: Scaling Analysis Of Magnetic Anisotropymentioning

confidence: 99%

“…In the previous studies, a scaling function was usually represented by Maclaurin series [30][31][32][33][34][35][36][37].…”

Section: Scaling Analysis Of Magnetic Anisotropymentioning

confidence: 99%

Scaling-based prediction of magnetic anisotropy in grain-oriented steels

Najgebauer¹

2017

Archives of Electrical Engineering

View full text Add to dashboard Cite

Abstract:The paper presents the scaling-based approach to analysis and prediction of magnetic anisotropy in grain-oriented steels. Results of the anisotropy scaling indicate the existence of two universality classes. The hybrid approach to prediction of magnetic anisotropy, combining the scaling analysis with the ODFs method, is proposed. This approach is examined in prediction of angular dependencies of magnetic induction as well as magnetization curves for the 111-35S5 steel. It is shown that it is possible to predict anisotropy of magnetic properties based on measurements in three arbitrary directions for φ = 0°, 60° and 90°. The relatively small errors between predicted and measured values of magnetic induction are obtained.

show abstract

Fractional Scaling of Magnetic Coercivity in Electrical Steels

Cited by 6 publications

References 20 publications

Scaling algorithms in modelling of power loss in soft magnetic composites

Scaling algorithms in modelling of power loss in soft magnetic composites

Analysis of magnetic losses in Fe-polymer composites

Scaling-based prediction of magnetic anisotropy in grain-oriented steels

Contact Info

Product

Resources

About