Comparison of iron losses evaluations by different testing procedures

Espindola, A. A.; Tristao, Fabricio; Schlegel, J. P.; Batistela, Nelson Jhoe; Sadowski, N.; Kuo‐Peng, Patrick; Rigoni, M.

doi:10.1109/icelmach.2010.5608253

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…7 indicates clearly the influence of the stress induced by the cutting process. Similar results between Epstein frame test and smaller ringcore measurements were obtained in [22]. The large difference between the cyan (nonwelded) and magenta (welded) hysteresis curve (55% increase) is most likely due to the deterioration of the material properties in the area of the eight welding seams.…”

Section: Measurement Resultssupporting

confidence: 87%

Influence of the Welding Process on the Performance of Slotless PM Motors With SiFe and NiFe Stator Laminations

Krings

Nategh

Wallmark

et al. 2014

IEEE Trans. on Ind. Applicat.

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The influence of the welding process during the manufacturing of small slotless permanent-magnet synchronous machines (PMSMs) is studied in this paper. The focus lies on the change of the magnetic properties in high-quality silicon-iron (SiFe) and nickel-iron (NiFe) electrical steel sheets with thicknesses of 0.1 and 0.2 mm. It is shown that the welding process changes the magnetic material properties significantly and increases the specific iron losses. Experimental results are provided for magnetic flux densities up to 1.5 T and frequencies from quasi-static to 200 Hz. The obtained measurement data is afterward used in finite-element method (FEM) simulations to investigate the influence of the magnetic property changes on the motor performance, particularly with regard to stator core losses.Index Terms-Magnetic hysteresis, magnetic losses, magnetic materials, nickel-iron alloys, permanent-magnet machines, silicon-iron alloys, slotless machines.

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Section: Measurement Resultssupporting

confidence: 87%

Influence of the Welding Process on the Performance of Slotless PM Motors With SiFe and NiFe Stator Laminations

Krings

Nategh

Wallmark

et al. 2014

IEEE Trans. on Ind. Applicat.

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“…Firstly, toroid tester has an unbroken magnetic circuit which is most similar to the actual geometry of machines. However, the magnetic circuit of the Epstein frame is not continuous and the magnetic circuit of single sheet tester is not even made of whole electrical steel [35, 36]. Secondly, skin effect and proximity effect existing in electric steel can affect the iron loss remarkably on the condition of high frequency [22, 37].…”

Section: Measurement Of Iron Loss Datamentioning

confidence: 99%

Iron loss prediction in high‐speed permanent‐magnet machines using loss model with variable coefficients

Chen

Wang

Sun

2020

IET Electric Power Applications

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Iron loss prediction is extremely crucial to performance and thermal analysis for high‐speed permanent‐magnet (PM) machines, but it is difficult to conduct at arbitrary frequency especially high frequency. Due to the frequency‐dependent coefficients of iron loss model, although iron loss can be calculated by loss model with constant coefficients under fixed frequencies, it is not feasible to measure the required loss data of non‐oriented electrical steel under each frequency. Moreover, toroid tester is better to obtain accurate loss data of steel, but the data under specific high frequency cannot be directly measured due to the limitation of equipment and tester. Thus, this study presents a three‐term iron loss model with variable coefficients to predict iron loss of machines at arbitrary frequency, especially high frequency based on measured loss data of steel at low frequency. Although both proposed three‐term model and conventional two‐term model with variable coefficients can predict iron loss of machines at an arbitrary frequency, the comparison shows that the accuracy of the three‐term model is higher. In addition, experiments validate that proposed three‐term model with variable coefficients is accurate and feasible for iron loss prediction in high‐speed PM machines.

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“…Iron Loss Measurement There are many methods to measure iron loss in steel laminations, such as, the Epstein frame test [36], the ring specimen test [37], and the single strip test [38] [39]. Comparisons between these iron loss measuring methods are carried out in [37], [40], [41] and [42]. The ring specimen test involves a similar principle to the Epstein frame test but is much easier to implement.…”

Section: Introductionmentioning

confidence: 99%

Iron loss calculation considering temperature influence in non‐oriented steel laminations

Xue¹,

Chu

Zhu³

et al. 2016

IET Science, Measurement & Technology

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In this paper, the temperature influence on iron loss of non-oriented steel laminations is investigated. The iron loss variation under different flux densities, frequencies and temperatures is systematically measured and analysed by testing two typical non-oriented steel laminations, V300-35A and V470-50A. The iron loss variation with temperature is almost linear in the typical operating temperature range of electrical machines. Furthermore, the varying rate of iron loss with temperature varies with flux density and frequency. A coefficient which can fully consider the temperature influence is introduced to the existing iron loss model to improve the iron loss prediction accuracy. The predicted and measured results show that the temperature influence on the iron loss can be effectively considered by utilizing the improved model, i.e. the prediction accuracy of the improved iron loss model remains constant, even when the temperature varies significantly. A potential simplification of this improved model is also discussed in this paper.

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Comparison of iron losses evaluations by different testing procedures

Cited by 10 publications

References 2 publications

Influence of the Welding Process on the Performance of Slotless PM Motors With SiFe and NiFe Stator Laminations

Influence of the Welding Process on the Performance of Slotless PM Motors With SiFe and NiFe Stator Laminations

Iron loss prediction in high‐speed permanent‐magnet machines using loss model with variable coefficients

Iron loss calculation considering temperature influence in non‐oriented steel laminations

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