Temperature-dependent Hysteresis Model Research Articles

Temperature-dependent hysteresis model based on temporal convolutional network

The variation of temperature modifies the magnetic behavior of ferromagnetic cores which may affect the performance of electrical equipment. Therefore, it is imperative to develop a temperature-dependent hysteresis model to precisely calculate electromagnetic characteristics of electrical equipment. In this paper, a Temporal Convolutional Network (TCN) in combination with the Play operator is developed. The proposed model incorporates the temperature-dependent spontaneous magnetization intensity as the model input to introduce the temperature effect. To enhance the accuracy of model training outcomes, the Bayesian optimization approach for automatically selecting network model parameters is provided. The results show that the proposed model can accurately predict the hysteresis characteristics of materials under varying temperature and frequency conditions.

Temperature-dependent hysteresis model for soft magnetic materials

PurposeTo understand the behavior of the magnetization processes in ferromagnetic materials in function of temperature, a temperature-dependent hysteresis model is necessary. This study aims to investigate how temperature can be accounted for in the energy-based hysteresis model, via an appropriate parameter identification and interpolation procedure.Design/methodology/approachThe hysteresis model used for simulating the material response is energy-consistent and relies on thermodynamic principles. The material parameters have been identified by unidirectional alternating measurements, and the model has been tested for both simple and complex excitation waveforms. Measurements and simulations have been performed on a soft ferrite toroidal sample characterized in a wide temperature range.FindingsThe analysis shows that the model is able to represent accurately arbitrary excitation waveforms in function of temperature. The identification method used to determine the model parameters has proven its robustness: starting from simple excitation waveforms, the complex ones can be simulated precisely.Research limitations/implicationsAs parameters vary depending on temperature, a new parameter variation law in function of temperature has been proposed.Practical implicationsA complete static hysteresis model able to take the temperature into account is now available. The identification is quite simple and requires very few measurements at different temperatures.Originality/valueThe results suggest that it is possible to predict magnetization curves within the measured range, starting from a reduced set of measured data.

Investigation of polarization switching processes in 0.8PMN-0.2PT single crystal in a temperature range from 100 K to 300 K

Ferroelectric hysteresis loops were measured and the temperature evolution of the coercive field traced in [110]-oriented 0.8Pb(Mb1/3Nb2/3)O3–0.2PbTiO3 single crystal in the temperature range from 120 to 300 K at frequencies from 2 to 50 Hz. It was found that the coercive field rised with decreasing temperature in power-law manner at all frequencies. Temperature-dependent hysteresis model was used for approximation of acquired coercive field-temperature dependences. It was shown that nanoscale ferroelectric domains could be created at PMN-20PT surface by voltage pulses applied between the tip of atomic force microscope and bottom electrode at temperatures as low as 100 K.

Comprehensive Improvement of Temperature-Dependent Jiles–Atherton Model Utilizing Variable Model Parameters

With the change of temperature, magnetic characteristics of electrical steel sheet (ESS) exhibit remarkable variations, in particular, at high-temperature region. If the magnetic field of electromagnetic devices operating under high temperature is analyzed by the magnetization data recorded under room temperature, the analysis findings appear to be quite different from the real ones. In order to understand and apply the real magnetic behavior in ESS, a temperature-dependent hysteresis model is quite necessary. In this paper, a physical background-based Jiles–Atherton (J–A) model is enhanced for revealing temperature effects through the introduction of temperature-dependent parameter on the base of observation of measurement data. In addition, the inaccuracy of J–A model in the range of weak applied field is enhanced with the use of variable parameter set. Ultimately, a comprehensive improvement algorithm of temperature-dependent J–A model is proposed followed by verification through experimental hysteresis data.

A Temperature-Dependent Hysteresis Model for Soft Ferrites

This paper introduces a temperature-dependent hysteresis model based on a vectorial elemental operator with temperature-sensitive spontaneous magnetization and biaxial anisotropy for the soft ferrites. Detailed analysis of the temperature-dependent magnetic properties of one elemental operator has been presented thereafter. With the help of the proposed vector elemental operator and the 2-D Gaussian distribution function, the temperature-dependent magnetic hysteresis of soft ferrites can be simulated. This model is validated by the substantial agreement between the simulated and measured major hysteresis loops of a soft ferrite sample Siemens 4C65 at different temperatures with slight acceptable error.

Theoretical Model of Temperature Dependence of Hysteresis Based on Mean Field Theory

The magnetization processes in ferromagnetic materials are dependent on temperature. In order to understand thoroughly the behavior of magnetization processes in ferromagnetic materials at different temperatures, a temperature dependent hysteresis model is necessary. In the present study, a physical model based on Jiles-Atherton (JA) theory was developed to study the effects of temperature on magnetic hysteresis. This was achieved through the introduction of temperature dependent hysteresis parameters of the existing model. The material dependent parameters such as Curie temperature and critical exponent have also been added as additional variables to the existing model. The temperature dependent extension of the JA model was validated against measurements made on cation substituted cobalt ferrite material and the results show good agreement between theory and experiment.

Phenomenological hysteresis model for vapor-liquid phase transitions

In this paper a new, phenomenological, temperature dependent hysteresis model of the vapor-liquid first-order phase transitions is presented in order to improve the existing equation-of-state type diffuse interface methods implicated in homogeneous two phase flow models. The proposed hysteresis approach describes not only equilibrium but also non-equilibrium phase transitions. A saturation temperature dependent upper limit of the allowable supersaturation is proposed, this limit ensures that unstable conditions could be always avoided. To overcome the flowing system caused memory handling problems of classical Preisach-type hysteresis models, a partial differential equation based hysteresis operator is proposed to describe the statistics of a model fluid consists of bistable, constant-mass clusters of molecules.