Loss Separation in Nonoriented Electrical Steels

Zirka, S. E.; Moroz, Y.I.; Marketos, P.; Moses, Anthony John

doi:10.1109/tmag.2009.2032858

Cited by 48 publications

(26 citation statements)

References 9 publications

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“…(2) The understanding of the Epstein technique is also limited by the absence of a 3-D model, which properly incorporates domain wall dynamics into total loss calculations [1]. Furthermore, a standard approach is to express total loss as the sum of hysteresis, bulk eddy current and an excess term, which compensates for the observed total loss [1,9]. However, this approach ignores the influence of domain wall dynamics on magnetization processes and loss mechanisms [1,10,11].…”

Section: Introductionmentioning

confidence: 99%

Correlation Between AC Core Loss and Surface Magnetic Barkhausen Noise in Electric Motor Steel

et al. 2014

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Core loss is a significant source of energy loss in electric motor steel laminates. Therefore, there is interest in monitoring the quality and consistency of laminates at various stages of manufacturing. The purpose of this study was to investigate the feasibility of using surface magnetic Barkhausen noise for the evaluation of AC core loss, and further, to examine potential origins of magnetic loss in nonoriented electrical steel. Core loss values were measured by a single sheet tester and Barkhausen noise measurements were performed using pole flux control on eight laminates with various grain size, texture and composition. Magnetocrystalline energy was calculated from X-ray diffraction data to quantify texture. Results demonstrated higher surface Barkhausen emissions for samples with lower core loss. Barkhausen noise analyses were used to examine the interplay among core loss, grain size, magnetocrystalline energy and B-H characteristics. The inverse correlation between core loss and Barkhausen noise emissions was qualitatively explained in terms of the orthogonal vector contribution of microscopic eddy currents to losses associated with bulk currents arising in the sample during magnetization.

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Section: Introductionmentioning

confidence: 99%

Correlation Between AC Core Loss and Surface Magnetic Barkhausen Noise in Electric Motor Steel

et al. 2014

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“…The quantitative description of hysteresis and eddy currents inside a ferromagnetic lamination is achieved by solving a 1D magnetodynamic problem with hysteresis [1,3], which involves the following quantities: the magnetic field strength h, the magnetic flux density b and the electric field strength e. Considering an individual lamination of thickness 2d with an upper surface normal vector n = (0, 0, 1), the domain of analysis ω is a line parallel to n, across half the thickness and far from the edges, Fig. 1.…”

Section: D Cross Lamination Modelmentioning

confidence: 99%

“…This intricate problem is of critical importance for the design of modern electrical drives but also for understanding morphological effects in magnetic properties. The complexity of this question is because of different factors [1,2]. Iron losses are the macroscopic outcome of a combination of micro-or mesoscopic level physical phenomena [2,3]: namely, eddy currents, skin effect, saturation and hysteresis.…”

Section: Introductionmentioning

confidence: 99%

Pragmatic two‐step homogenisation technique for ferromagnetic laminated cores

Henrotte¹,

Steentjes

Hameyer

et al. 2015

IET Science, Measurement & Technology

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Electromagnetic fields and eddy currents in thin electrical steel laminations are governed by the laws of magnetodynamics with hysteresis. If the lateral dimension of the laminations is large with respect to their width, the fields and currents generated under arbitrary excitation inside a lamination can be resolved accurately by solving a one-dimensional finite element magnetodynamic problem across half the lamination thickness. This mesoscopic model is able to produce, by averaging the necessary information, a homogenised laminated core model, to be used in the macroscopic modelling of electrical devices involving ferromagnetic lamination stacks. As each evaluation of the homogenised model at the macroscale implies a finite element simulation at the mesoscale, a monolithic implementation of the homogenisation method would be extremely time-consuming. Hence the idea of this study to use system identification techniques to construct an algebraic approximation of the homogenised model, to be used as a conventional constitutive relationship in two-or three-dimensional macroscale simulations. This pragmatic two-step homogenisation approach turns out to be quite accurate and efficient in practice, and it entails no implementation in the FE code, provided the latter offers enough flexibility in the description of the material laws.

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“…In such models, there are basically single components of hysteresis, eddy current and excess losses [2][3][4] specified. Specific empiric factors calibrate such formula to the particular material operated at defined frequency and polarization.…”

Section: Introductionmentioning

confidence: 99%

Operating point resolved loss computation in electrical machines

Pfingsten¹,

Ruf²,

Steentjes³

et al. 2016

Archives of Electrical Engineering

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Magnetic circuits of electromagnetic energy converters, such as electrical machines, are nowadays highly utilized. This proposition is intrinsic for the magnetic as well as the electric circuit and depicts that significant enhancements of electrical machines are difficult to achieve in the absence of a detailed understanding of underlying effects. In order to improve the properties of electrical machines the accurate determination of the locally distributed iron losses based on idealized model assumptions solely is not sufficient. Other loss generating effects have to be considered and the possibility being able to distinguish between the causes of particular loss components is indispensable. Parasitic loss mechanisms additionally contributing to the total losses originating from field harmonics, non-linear material behaviour, rotational magnetizations, and detrimental effects caused by the manufacturing process or temperature, are not explicitly considered in the common iron-loss models, probably even not specifically contained in commonly used calibration factors. This paper presents a methodology being able to distinguish between different loss mechanisms and enables to individually consider particular loss mechanisms in the model of the electric machine. A sensitivity analysis of the model parameters can be performed to obtain information about which decisive loss origin for which working point has to be manipulated by the electromagnetic design or the control of the machine.

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Loss Separation in Nonoriented Electrical Steels

Cited by 48 publications

References 9 publications

Correlation Between AC Core Loss and Surface Magnetic Barkhausen Noise in Electric Motor Steel

Correlation Between AC Core Loss and Surface Magnetic Barkhausen Noise in Electric Motor Steel

Pragmatic two‐step homogenisation technique for ferromagnetic laminated cores

Operating point resolved loss computation in electrical machines

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