Data Collapse of Energy Loss in Soft Magnetic Materials as a Way for Testing Measurement Set

Sokalski, K.; Szczygłowski, J.

doi:10.12693/aphyspola.117.497

Cited by 9 publications

(12 citation statements)

References 4 publications

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“…The Widom scaling has been successfully applied in analysis of power losses for various types of soft magnetic materials [11][12][13][14][15]. The Widom procedure was also used in scaling of magnetic coercivity [16].…”

Section: Introductionmentioning

confidence: 99%

Fractional Scaling of Magnetic Coercivity in Electrical Steels

Najgebauer

2017

Acta Phys. Pol. A

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Section: Introductionmentioning

confidence: 99%

Fractional Scaling of Magnetic Coercivity in Electrical Steels

Najgebauer

2017

Acta Phys. Pol. A

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“…The scaling in space of loops is performed by scaling each loop's component (13), (14), (15) and (16). For simplicity of further investigations, we consider simplified symmetric model, where all the bases of tanH( ) are equal:…”

Section: Self-similar Model Of Hysteresis Loopmentioning

confidence: 99%

“…Mostly, the data collapse is applying as a tool for the detection of self-similarity. Here, we present a new application which solves problem of comparison measurements taken in different laboratories [16]. In 1995, the leading European Laboratories busy with measurements of the electrical steel magnetic properties were trying to compare the measurement results of the power loss in electrical sheet steel under the conditions of rotating and alternating flux [17].…”

Section: An Application Of the Multi-sample Data Collapsementioning

confidence: 99%

“…In 1995, the leading European Laboratories busy with measurements of the electrical steel magnetic properties were trying to compare the measurement results of the power loss in electrical sheet steel under the conditions of rotating and alternating flux [17]. Taking from [17] the idea of the inter-comparison of measurement data of the energy losses in soft magnetic materials, we perform such an inter-comparison with data taken in two laboratories [16,18], however, under the conditions of axial and alternating flux. Self-similarity of the density power losses enables us to scale off the interference of the sample's geometry and the material type from the dependence of power losses versus the pick of induction and magnetizing frequencies.…”

Section: An Application Of the Multi-sample Data Collapsementioning

confidence: 99%

See 1 more Smart Citation

Scaling in Magnetic Materials

Sokalski¹,

Ślusarek²,

Szczygłowski³

2016

Magnetic Materials

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The chapter presents applications of the scaling in several problems of magnetic materials. Soft magnetic materials (SMMs) and soft magnetic composites (SMCs) are considered. Application of scaling in investigations of problems, such as power losses, losses separation, data collapse of the losses characteristics and modelling of the magnetic hysteresis, is presented. The symmetry group generated by scaling and gauge transformations enables us to introduce the classification of the hysteresis loops with respect to the equivalence classes. SMC materials require special treatment in the production process. Therefore, algorithms for optimization of the power losses are created. The algorithm for optimization processes is based on the scaling and the notion of the pseudo-equation of state. The scaling makes modelling and calculations easy; however, the data must obey the scaling. Checking procedure of statistical data to this respect is presented.

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“…Recently, Sokalski, Szczyglowski and Najgebauer tried to give a general description of the phenomenon and proposed a new approach based on the scaling theory [11,12]. This so-called scaling model was confirmed by a few of experiments [13,14] 15 wires with diameter 2r 0 = 0.14 mm were produced by in-rotating-water quenching technique. In order to improve the soft magnetic properties and tailor the magnetic structure, two pieces of samples (15 cm in length) were cut from amorphous Fe 73.5 Cu 1 Nb 3 Si 13.5 B 9 wire for heat treatment.…”

Section: Introductionmentioning

confidence: 98%

Energy Losses Analysis of Fe-based and CoFe-based Soft Ferromagnetic Wires

Li¹,

Liu²,

Feng³

et al. 2017

dtetr

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ABSTRACT The CoFe-based amorphous and Fe-based nanocrystalline alloys possess excellent soft magnetic properties due to their nearly zero-magnetostriction and very low magnetic anisotropy. So they are good candidate materials for power electronics and giant magneto-impedance (GMI) sensor applications. As an indication of their AC performance, energy losses were determined by the measurements of impedance for Co 68.2 Fe 4.3 Si 12.5 B 15 amorphous wire and Fe 73.5 Cu 1 Nb 3 Si 13.5 B 9 nanocrystalline wires with different domain structure. The measurements were carried out at a frequency range of 10 -10 4 Hz and induction amplitudes of 0.1 -1.2 T. Although the measured results show good agreement with the scale theory model of energy loss, different origins of energy loss in the investigated samples have been concluded by comparing the experimental data with the Bertotti's statistical model. The differences of energy loss in these samples could be explained by considering the magnetic structure and circular technical magnetization processes.

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Data Collapse of Energy Loss in Soft Magnetic Materials as a Way for Testing Measurement Set

Abstract: Basing on the data collapse of the energy loss in soft magnetic materials, we propose a dimensionless measure of measurement set's uncertainty. The derived measure enables to compare uncertainty of different measurement sets and comparison of measurement data.

Cited by 9 publications

References 4 publications

Fractional Scaling of Magnetic Coercivity in Electrical Steels

Fractional Scaling of Magnetic Coercivity in Electrical Steels

Scaling in Magnetic Materials

Energy Losses Analysis of Fe-based and CoFe-based Soft Ferromagnetic Wires

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