3-D Finite Element Analysis of Magnetoelectric Composites Accounting for Material Nonlinearity and Eddy Currents

Anh, Tuan Nguyen; Talleb, Hakeim; Gensbittel, Aurélie; Ren, Zhuoxiang

doi:10.1109/tmag.2019.2926237

Cited by 9 publications

(7 citation statements)

References 28 publications

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“…Afterwards, these composites can be integrated in devices to be used as current sensors [18], magnetic field sensors [19], gyrators, inductors [20] and other power electronics applications [21]- [23]. This entails an increasing effort in developing accurate material and device models [24]- [26] and makes the identification of reliable characterization methods an objective of the utmost relevance.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Piezomagnetism in Nickel Ferrite

et al. 2021

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Applications of magnetostrictive materials like sensors and energy harvesting devices generally involve the use of the dynamic deformation, i.e. the piezomagnetic effect, induced by an exciting magnetic field HAC . However, this effect is rarely measured directly but commonly approximated by the strain derivative ∂λ/∂H, which is deduced from the quasi-static magnetostrictive curve. In this paper, we propose an investigation of the piezomagnetic effect in nickel ferrite by directly measuring the dynamic magnetostriction under various exciting field using a dynamic strain-gauge setup. These values are compared with the strain derivative in order to disclose the limitations thereof. In addition, the magnetoelectric effect is measured in a ferrite/PZT bilayer and compared with calculated magnetoelectric coefficient based on an analytical model. When the dynamic magnetostrictive coefficients are integrated in the calculation, a good accuracy is found with experimental values, whereas it is not the case for calculated coefficient based on the strain derivatives. The findings of the present study highlight the importance of accurately characterizing the piezomagnetic effect in magnetostrictive materials in order to optimize their performances in dynamic applications.

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Section: Introductionmentioning

confidence: 99%

Investigation of Piezomagnetism in Nickel Ferrite

et al. 2021

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“…To predict the dynamic-loss behavior of ferromagnetic material, on the basis of the finite element method, Fallah et al, presented an approach for the hysteresis using the finite element analysis of the 2-D diffusion equation [ 3 ]. Do et al, proposed a 3-D finite element multi-physics model, which included a multi-scale model of non-linear magnetostrictive materials for the magnetostatic biasing regime and took into account the effect of the eddy currents for the dynamic regime [ 4 ]. On the basis of the free-energy method, Evans et al, presented an energy-weighted averaging class of magneto-mechanical models by developing an efficient implementation for magnetic hysteresis [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, Talebian et al studied classical and excess eddy-currents losses of Terfenol-D and the effects of magnetic field frequency [ 7 ]. In references [ 3 , 4 , 5 , 6 , 7 ] established loss models to predict the loss characteristics of materials. For the magnetic properties of magnetostrictive materials, Huang et al focused on temperature as a factor to study the variation of magnetic properties and loss characteristics of various magnetostrictive materials [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…Birčáková et al, presented a wide frequency and magnetic-field-range dependencies of core losses and permeability in magnetostrictive materials [ 9 ]. For the study of the temperature-rise mechanism, previous works mainly concentrate on dynamic losses of materials [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. The relationship among the losses of the transducer, frequency and magnetic field is not analyzed.…”

Section: Introductionmentioning

confidence: 99%

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Magnetic Energy Losses and Temperature Control System for Giant Magnetostrictive Transducer

Dong

2023

Micromachines

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The giant magnetostrictive transducer (GMT) can be widely used in ultra-precision machining in precision-fluid-control fields. The temperature stability of GMT is critical for the reliable generation of output characteristics. This study presents a magnetic-energy-losses method for the GMT working at high frequency, and designs a temperature-stable control system to improve energy transmission and heat dissipation. Based on the loss-separation theory and experimental data, the temperature-rise characteristics of the transducer are analyzed. The temperature rise considers the effects of hysteresis loss, the eddy-current loss, the anomalous loss and the Joule heat. A constitutive relation among losses, frequency and magnetic-flux density is given. The temperature distribution of the transducer can be quickly and accurately calculated, using the constitutive equation. According to the convective heat-transfer and the thermal-compensation method, a temperature-control system is designed. A prototype of the system is then fabricated and tested to verify the feasibility and efficacy of the proposed design methods. The results demonstrate that the output- displacement deviation can be controlled at less than 0.65 μm, and the temperature difference is less than 3 °C.

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“…FEM can also allow accurate calculations of the stress and strain distributions in the structure and calculations of the vibration displacement response at the output surface for a known electrical excitation [ 14 ], presenting various results. Recently, efforts were made to model the nonlinearity of material behavior using the curve fitting technique [ 5 ] and the discrete energy-averaged model [ 15 ]. However, for those modeling techniques, the contribution to the power dissipation of the material constants is usually ignored.…”

Section: Introductionmentioning

confidence: 99%

Modeling of High-Power Tonpilz Terfenol-D Transducer Using Complex Material Parameters

Yao

Yang

Zhang

et al. 2022

Sensors

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The loss effect in smart materials, the active part of a transducer, is of significant importance to acoustic transducer designers, as it directly affects the important characteristics of the transducer, such as the impedance spectra, frequency response, and the amount of heat generated. It is therefore beneficial to be able to incorporate energy losses in the design phase. For high-power low-frequency transducers requiring more smart materials, losses become even more appreciable. In this paper, similar to piezoelectric materials, three losses in Terfenol-D are considered by introducing complex quantities, representing the elastic loss, piezomagnetic loss, and magnetic loss. The frequency-dependent eddy current loss is also considered and incorporated into the complex permeability of giant magnetostrictive materials. These complex material parameters are then successfully applied to improve the popular plane-wave method (PWM) circuit model and finite element method (FEM) model. To verify the accuracy and effectiveness of the proposed methods, a high-power Tonpilz Terfenol-D transducer with a resonance frequency of around 1 kHz and a maximum transmitting current response (TCR) of 187 dB/1A/μPa is manufactured and tested. The good agreement between the simulation and experimental results validates the improved PWM circuit model and FEA model, which may shed light on the more predictable design of high-power giant magnetostrictive transducers in the future.

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3-D Finite Element Analysis of Magnetoelectric Composites Accounting for Material Nonlinearity and Eddy Currents

Cited by 9 publications

References 28 publications

Investigation of Piezomagnetism in Nickel Ferrite

Investigation of Piezomagnetism in Nickel Ferrite

Magnetic Energy Losses and Temperature Control System for Giant Magnetostrictive Transducer

Modeling of High-Power Tonpilz Terfenol-D Transducer Using Complex Material Parameters

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