Thermal effects on magnetic hysteresis modeling

Ladjimi, Abdelaziz; Mékidèche, Mohamed Rachid; Babouri, Abdesselam

doi:10.2478/v10171-012-0007-1

Cited by 10 publications

(8 citation statements)

References 10 publications

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“…In this study and in order to determine an optimal temperature-dependent parameter, several numerical simulations with different shapes of this parameter were carried out. Finally, we opted for two of them noted 𝛽(𝑇) and 𝜃 (𝑇), taken respectively from [8] and [16], whose results are in agreement with available experimental data (Fig. 2).…”

Section: Numerical Preisach Density Function Identification Including...supporting

confidence: 67%

“…When T increases to the Curie temperature Tc, 𝑀 𝑠 decreases to zero and the ferromagnetic material changes to paramagnetic [8]. In publications dealing with the analytical modeling of the magnetic hysteresis using the Preisach model, authors selected a shape for the distribution function and also a temperature-dependent parameter which was a continuous function of temperature 𝑇 [3,8,9] and [16]. In this study and in order to determine an optimal temperature-dependent parameter, several numerical simulations with different shapes of this parameter were carried out.…”

Section: Numerical Preisach Density Function Identification Including...mentioning

confidence: 99%

“…The two well-known models Jiles-Atherthon [1][2][3] and Preisach [4][5][6][7][8][9][10][11][12][13][14][15] have been widely used in the analytical modeling of magnetic hysteresis and in the calculation of magnetic losses in electromagnetic systems [6]. In the analytical modeling of hysteresis using the Preisach model, most authors have determined a shape for the Preisach distribution function with which they have associated one or more temperature dependent parameters [8,9,16]. The influence of temperature has frequently been disregarded or eliminated in the numerical approach employing the Preisach model.…”

Section: Introductionmentioning

confidence: 99%

“…In a more recent work [7], the parameters of the Vector Play static hysteresis model have been modified so as to predict the thermal behavior. In [8,9] and [16], a critical exponent has been introduced both in the coercive field and in the saturation magnetization, to simulate hysteresis loops at different temperatures using the Preisach model. In [14], the authors have measured the major hysteresis loops of soft ferrite core samples at different temperatures and have concluded that the saturation points are temperature-dependent in a nonlinear manner.…”

Section: Introductionmentioning

confidence: 99%

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Archives of Electrical Engineering

Chelghoum

2022

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Magnetic hysteresis occurs in most electrical engineering devices once soft ferromagnetic materials are exposed to relatively high temperatures. According to several scientific studies, magnetic properties are strongly influenced by temperature. The development of models that can accurately describe the thermal effect on ferromagnetic materials is still an issue that inspires researchers. In this paper, the effect of temperature on magnetic hysteresis for ferromagnetic materials is investigated using a self-developed numerical method based on the Preisach distribution function identification. It employs a parameter depending on both temperature and the Curie temperature. This approach is of the macroscopic phenomenological type, where the variation of the magnetization (in direct connection with the Preisach triangle) is related to the observed macroscopic hysteretic behavior. The isotropic character of the material medium is predominant. The technique relies on a few experimental data extracted from the first magnetization curve provided by metallurgists. The ultimate goal is to provide a simple and robust magnetic behavior modeling tool for designers of electrical devices. Temperature is introduced at the stage of identifying the distribution function of the Preisach model. This method is validated by the agreement between the experimental data and the simulation results. The developed method is very accurate and efficient in modeling the hysteresis of ferromagnetic materials in engineering particularly for systems with ferromagnetic components and electromagnetic-thermal coupling.

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Section: Numerical Preisach Density Function Identification Including...supporting

confidence: 67%

Section: Numerical Preisach Density Function Identification Including...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Archives of Electrical Engineering

Chelghoum

2022

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“…6). The hysteresis loop shapes can be various [12][13][14][15][16] and may have a crucial impact on the sensitivity of the current transformer to the earth current waveform. To achieve the same level of induction in the current transformer core, for higher frequencies, a higher value of earth fault current is necessary.…”

Section: Analysis Of the Operation Of The Residual Current Transformermentioning

confidence: 99%

Improving sensitivity of residual current transformers to high frequency earth fault currents

Czapp

Dobrzyński

Klucznik

et al. 2017

Archives of Electrical Engineering

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For protection against electric shock in low voltage systems residual current devices are commonly used. However, their proper operation can be interfered when high frequency earth fault current occurs. Serious hazard of electrocution exists then. In order to detect such a current, it is necessary to modify parameters of residual current devices, especially the operating point of their current transformer. The authors proposed the modification in the structure of residual current devices. This modification improves sensitivity of residual current devices when high frequency earth fault current occurs. The test of the modified residual current device proved that the authors' proposition is appropriate.

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