Anomalous loss hysteresis loop

Almeida, Adriano A.; Perassa, Laura S.; Leicht, J.; Landgraf, Fernando José Gomes

doi:10.1590/s1516-14392014005000020

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…Table 4 presents the segregated losses of both the annealed and unannealed samples at 1 and 1.5 T. The hysteresis loss reduction after annealing is well documented [28,30] and can mostly be attributed to the material grain growth and the relief of internal stress. The segregated losses confirm the reduction of hysteresis losses after the annealing process: dropping by 74% at 1T and 61% at 1.5 T. In general, the classical eddy current losses are shown to increase after annealing [31]. In this study the eddy current losses however decreased by 20% at 1 T and approximately doubled in magnitude at 1.5 T after the annealing process.…”

Section: Ac Propertiessupporting

confidence: 76%

Hysteresis Measurements and Numerical Losses Segregation of Additively Manufactured Silicon Steel for 3D Printing Electrical Machines

et al. 2020

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Samples from FeSi4 powder were fabricated with a low power selective laser melting (SLM) system using a laser re-melting strategy. The sample material was characterized through magnetic measurements. The study showed excellent DC magnetic properties, comparable to commercial and other 3D printed soft ferromagnetic materials from the literature at low (1 T) magnetization. Empirical total core losses were segregated into hysteresis, eddy and excessive losses via the subtraction of finite element method (FEM) simulated eddy current losses and hysteresis losses measured at quasi-static conditions. Hysteresis losses were found to decrease from 3.65 to 0.95 W/kg (1 T, 50 Hz) after the annealing. Both empirical and FEM results confirm considerable eddy currents generated in the printed bulk toroidal sample, which increase dramatically at high material saturation after annealing. These losses could potentially be reduced by using partitioned material internal structure realized by printed airgaps. Similarly, with regard to the samples characterized in this study, the substantially increased core losses induced by material oversaturation due to reduced filling factor may present a challenge in realizing 3D printed electrical machines with comparable performance to established 2D laminated designs.

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Section: Ac Propertiessupporting

confidence: 76%

Hysteresis Measurements and Numerical Losses Segregation of Additively Manufactured Silicon Steel for 3D Printing Electrical Machines

et al. 2020

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“…Magnetic domains are regions in a magnetic material that are uniformly magnetised or obtained magnetic polarity spontaneously [4]. It is generally accepted that magnetic loss, iron loss, eddy current and hysteresis loss are significantly affected by microstructural characteristics such as microtexture and grain size [5]. Furthermore, it is reported that an abnormal grain growth phenomenon during final high-temperature annealing at the end of the GOES manufacturing process leads to large grains with desired crystal orientation i.e., {110} <001> GOSS texture [6], as shown in Figure 1a.…”

Section: Effect Of Microstructure and Crystallographic Texture On Magmentioning

confidence: 99%

On the correlation between magnetic domain and crystallographic grain orientation in grain oriented electrical steels

Nadoum

Robinson

Birosca

2020

Journal of Magnetism and Magnetic Materials

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The deviation angle of the easy magnetisation <001>-axes from the rolling direction (RD) strongly affects the magnetic domain configuration within individual grains and hence the overall magnetic properties in grain oriented electrical steels (GOES). In the current study, both angles of deviations; α: the angle between <001> and in-plane rolling direction, and β: the angle between <001> and out-plane rolling direction, where calculated using electron backscatter diffraction (EBSD) raw data to investigate the exact correlation between the crystal orientation and magnetic domain structure. Further, EBSD combined with forescatter detector (FSD) is used to reveal the magnetic domain configuration within individual oriented grains. The microstructure and microtexture of various GOESs with different chemical compositions and magnetic properties were characterised. The magnetic domain patterns were directly imaged and correlated to the crystal orientation and α and β deviation angles. It is demonstrated that the crystal orientation has a great impact on the magnetic domain patterns, width, and configurations. It was also shown that the grain boundary characteristics have a significant influence on the magnetic domain transfer between neighbouring grains. It was evident that low angle grain boundaries allowed domain transfer without a significant 2 change in the domain pattern, whereas high angle grain boundaries perturbed the magnetic domain pattern, width, and configuration. Furthermore, it was demonstrated that the size of the deviated orientation grains from ideal (110) <001> GOSS orientation is a critical microtexture parameter for the optimisation of magnetic property. Finally, it is concluded that the magnetic domain patterns and α and β angle of deviations are strongly correlated to the magnetic losses in GOES.

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“…Therefore, these elements would add to the complexity of the core losses model (Brissonneau and Lebouc, 1984;Fiorillo et al, 2002;Appino et al, 2016). The anomalous loss behaviour in two different electrical steel types was discussed, and the results reported that in non-oriented (NO) steels, anomalous loss is concentrated in the low induction region, but in grain-oriented (GO) steels, a remarkable participation of high induction region is observed, which can provide the evidence for the core losses measurement and modelling of electrical steel sheets (Almeida et al, 2014). A general method to calculate core losses in soft magnetic composites (SMCs) was proposed (de la Barrière et al, 2013); however, the induction waveform is mostly nonsinusoidal, and the influence of skin effect to core losses has not been considered.…”

Section: Introductionmentioning

confidence: 95%

Measurement and modelling of rotational anomalous loss considering skin effect of electrical steel sheets

Wang

Yang

et al. 2017

COMPEL

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Purpose Due to existence of skin effect under rotational excitation, especially to high-frequency motors and power transformers run at the frequency of hundreds or even thousands of hertz, core losses will increase significantly, which may cause local overheating damage, and the efficiency and longevity will be decreased. The purpose of this paper is to accurately calculate the rotational anomalous loss in electrical steel sheets. Design/methodology/approach The influence of skin effect to rotational anomalous loss coefficient is described in detail. Based on the rotational core losses calculation approach, the transformed coefficient and parameters of rotational anomalous loss are determined in accordance with experimental data obtained by using 3D magnetic properties testing system. Then, a variable loss coefficient calculation model of rotational anomalous loss is built. Meanwhile, a separation of the total 2D elliptical rotation experimental core losses is worked out. Findings The two methods are analysed and compared qualitatively. It should be noted that the novel calculation model can be more effectively presented anomalous loss features. Moreover, quantitative comparisons between 2D elliptical rotation and alternating core losses have achieved beneficial conclusions. Originality/value Transformed rotational anomalous loss coefficient and parameters of electrical steel sheets considering skin effect are determined. Based on that, a novel calculation model evaluating 2D elliptical rotation anomalous loss is presented and verified based on the experimental measurement and the separation of the total 2D elliptical rotation core losses. The 2D elliptical rotation core losses separation method and quantitative comparison with alternating excitation are helpful to engineering application.

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Anomalous loss hysteresis loop

Cited by 8 publications

References 15 publications

Hysteresis Measurements and Numerical Losses Segregation of Additively Manufactured Silicon Steel for 3D Printing Electrical Machines

Hysteresis Measurements and Numerical Losses Segregation of Additively Manufactured Silicon Steel for 3D Printing Electrical Machines

On the correlation between magnetic domain and crystallographic grain orientation in grain oriented electrical steels

Measurement and modelling of rotational anomalous loss considering skin effect of electrical steel sheets

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