Modelling of Dynamic Magnetic Hysteresis Loops and Power Losses in Laminated Steel

Du, Ruoyang; Robertson, Paul

doi:10.1109/uksim.2015.25

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…The material is treated as a single magnetic domain. Jiles-Atherton [2][3][4], on the other hand, also considers inter-domain interactions. Their main advantage is the connection with the physical parameters.…”

Section: Introductionmentioning

confidence: 99%

Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model

2020

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For precise modeling of electromagnetic devices, we have to model material hysteresis. A Genetic Algorithm, Differential Evolution with three different strategies, teaching–learning-based optimization and Artificial Bee Colony, were used for testing seven different modified mathematical expressions, and the best combination of mathematical expression and solving method was used for hysteresis modeling. The parameters of the hysteresis model were determined based on the measured major hysteresis loop and first-order reversal curves. The model offers a simple determination of the magnetization procedure in the areas between measured curves, with the only correction of two parameters based on only two known points in the magnetization process. It was tested on two very different magnetic materials, and results show good agreement between the measured and calculated curves. The calculated curves between the measured curves have correct shapes. The main difference between our model and other models is that, in our model, each measured curve, major and reversal, is described with different parameters. The magnetization process between measured curves is described according to the nearest measured curve, and this ensures the best fit for each measured curve. In other models, there is mainly only one curve, a major hysteresis or magnetization curve, used for the determination of the parameters, and all other curves are then dependent on this curve. Results confirm that the evolutionary optimization method offers a reliable procedure for precise determination of the parameters.

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Section: Introductionmentioning

confidence: 99%

Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model

2020

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Prediction of magnetic energy loss of Giant magnetostrictive materials under different prestresses, AC excitations and DC biases

Chen,

Yang,

Zheng

et al. 2024

Journal of Magnetism and Magnetic Materials

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Research on equivalent thermal network modeling for rare-earth giant magnetostrictive transducer

Zhang

Yang

2022

Sci Rep

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Of crucial importance for giant magnetostrictive transducers (GMTs) design is to quickly and accurately analysis the temperature distribution. With the advantages of low calculation cost and high accuracy, thermal network modelling has been developed for thermal analysis of GMT. However, the existing thermal models have their limits to describe these complicated thermal behaviors in the GMTs: most of researches focused on steady-state which is incapable of capturing temperature variances; the temperature distribution of giant magnetostrictive (GMM) rods is generally assumed to be uniform whereas the temperature gradient on the GMM rod is remarkable due to its poor thermal conductivity; the non-uniform distribution of GMM’s losses is seldom introduced into thermal model. Therefore, a transient equivalent thermal network (TETN) model of GMT is established in this paper, considering the aforementioned three aspects. Firstly, based on the structure and working principle of a longitudinal vibration GMT, thermal analysis was carried out. Following this, according to the heat transfer process of GMT, the TETN model was established and the corresponding model parameters were calculated. Finally, the accuracy of the TETN model for the temporal and spatial analysis of the transducer temperature are verified by simulation and experiment.

show abstract

Modelling of Dynamic Magnetic Hysteresis Loops and Power Losses in Laminated Steel

Cited by 4 publications

References 21 publications

Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model

Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model

Prediction of magnetic energy loss of Giant magnetostrictive materials under different prestresses, AC excitations and DC biases

Research on equivalent thermal network modeling for rare-earth giant magnetostrictive transducer

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