Numerical optimization of a hysteresis model

Krah, Julius; Bergqvist, A.

doi:10.1016/j.physb.2003.08.046

Cited by 18 publications

(14 citation statements)

References 2 publications

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“…In this work, we propose modifications to existing VPM so as to take into account the effect of temperature, as well as a new formulation for identifying VPM from experiments. Conversely to existing approaches, our approach does not require a specific kind of measurement. Proposed formulation has been shown to be stable and by using a simplification algorithm, can provide accurate VPMs with a low number of cells.…”

Section: Discussionmentioning

confidence: 99%

Numerical model of static hysteresis taking into account temperature

Sixdenier

Scorretti

2017

Int J Numerical Modelling

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Some soft magnetic materials are strongly dependent of the temperature, because of their low Curie temperature. To be able to predict their behaviour in electrical devices, hysteresis models able to take into account the temperature are needed. The vector play static hysteresis model is an interesting hysteresis model that can be modified to be able to take into account the thermal behaviour. In this paper, the temperature is taken into account in this last model through its parameters. The variations of some parameters with temperature are mainly issued from numerical interpolation and specific assumptions. Simulation results are compared to measurements and discussed. KEYWORDSCurie temperature, soft magnetic materials, static hysteresis, vector play model 1 Int J Numer Model. 2018;31:e2221.wileyonlinelibrary.com/journal/jnm

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Section: Discussionmentioning

confidence: 99%

Numerical model of static hysteresis taking into account temperature

Sixdenier

Scorretti

2017

Int J Numerical Modelling

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“…The anhysteretic curves were obtained after postprocessing the experimental hysteresis M − H dependencies, by taking the middle curve between ascending and descending loop branches [16]. The reconstructed M an (H) dependences were fitted with the Langevin function…”

Section: Resultsmentioning

confidence: 99%

Scaling of Anhysteretic Curves for LaFeCoSi Alloy near the Transition Point

et al. 2017

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LaFeCoSi alloys have attracted much attention as they exhibit magnetocaloric effect in near room temperature. The paper focuses on the description of anhysteretic curve for LaFeCoSi alloy for temperatures close to transition point. For this purpose the Langevin function is applied. The paper confirms that the Langevin function might be a good starting point for development of analytical models aimed at examination of magnetic properties in La-based magnetocaloric materials.

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“…The anhysteretic curve was identified from measured hysteresis loops at different temperatures as the middle curve [32]. This allowed us to determine the values of pinning coefficient γ for the ferro-and paramagnetic regions.…”

Section: Modelingmentioning

confidence: 99%

The Harrison Model as a Tool to Study Phase Transitions in Magnetocaloric Materials

2018

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Modeling of hysteresis loops close to the Curie point may shed some light on physics of magnetization processes in magnetocaloric materials. In the present paper the model advanced by Harrison is used to describe magnetization curves of La(Fe,Co,Si)13 alloy. Systematic study has revealed that values of some model parameters depend significantly on temperature. The trends of their variations are discussed in the paper.

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Numerical optimization of a hysteresis model

Cited by 18 publications

References 2 publications

Numerical model of static hysteresis taking into account temperature

Numerical model of static hysteresis taking into account temperature

Scaling of Anhysteretic Curves for LaFeCoSi Alloy near the Transition Point

The Harrison Model as a Tool to Study Phase Transitions in Magnetocaloric Materials

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