Magnetoelectric Vortex Magnetic Field Sensors Based on the Metglas/PZT Laminates

Giang, D.T. Huong; Tam, Ho Anh; Khanh, Vu Thi Ngoc; Vinh, Nguyen Van; Phung, Anh Tuan; Tuấn, Nguyễn Văn; Ngọc, Ninh Thị; Duc, Nguyen Huu

doi:10.3390/s20102810

Cited by 15 publications

(14 citation statements)

References 35 publications

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“…Then, a deviation between the simulation and experimental results is obtained when moving the vortex center along the sample length direction. 15 …”

Section: Resultsmentioning

confidence: 99%

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A Sandwich Metal–Insulation–Metal Composite for Magnetoelectric Memory: Experiment and Modeling

Zhang

Mahmood

et al. 2021

ACS Omega

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Driven by the development of internet technology, higher requirements on information materials and data storage devices were demanded. To improve the work efficiency and performance of the new generation of information materials and data storage devices, the magnetoelectric (ME) coupling and storage mechanism of magnetoelectric composites deserve more attention. Here, we explored the influence of applied magnetic fields on the output voltage on a metal–insulation–metal (MIM) sandwich composite for realizing the magnetoelectric memory by experiments and modeling. It is found that the DC magnetic field ( H dc ) and the output voltage of the polyvinylidene fluoride film are linearly correlated. At a frequency of 1 kHz, the magnetoelectric voltage coefficient is 60.71 mV cm –1 Oe –1 , which is evidently larger than that of other film materials. From this work, we can conclude that the MIM sandwich composite could generate higher magnetoelectric voltage under the AC magnetic field ( H ac ) with higher frequency, which could be used as the magnetoelectric memory device, and provides significant support for improving the performance of magnetoelectric memory devices and the whole internet system.

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“…Then, a deviation between the simulation and experimental results is obtained when moving the vortex center along the sample length direction. 15 …”

Section: Resultsmentioning

confidence: 99%

“…The thermoelectric effect is caused by the generation of eddy current in the metal layer on the sample under the H ac and without H dc . Then, a deviation between the simulation and experimental results is obtained when moving the vortex center along the sample length direction …”

Section: Resultsmentioning

confidence: 99%

A Sandwich Metal–Insulation–Metal Composite for Magnetoelectric Memory: Experiment and Modeling

Zhang

Mahmood

et al. 2021

ACS Omega

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“…The sensor consists of magnetostrictive and piezoelectric materials with an intermediate material (usually epoxy resin glue). The most used magnetostrictive materials are Terfenol-D and Metglas [ 2 , 3 , 4 , 5 , 6 ]. The most popular piezoelectric ceramic materials include

(better known as PZT),

(PMN-PT), and more [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…The most used magnetostrictive materials are Terfenol-D and Metglas [ 2 , 3 , 4 , 5 , 6 ]. The most popular piezoelectric ceramic materials include

(better known as PZT),

(PMN-PT), and more [ 6 , 7 ]. The ME sensor concept is that a magnetostrictive material reacts to an external magnetic field by generating mechanical stresses.…”

Section: Introductionmentioning

confidence: 99%

Static, Dynamic, and Signal-to-Noise Analysis of a Solid-State Magnetoelectric (Me) Sensor with a Spice-Based Circuit Simulator

Sindler

Lineykin

2022

Sensors

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Modeling the non-electrical processes by equivalent electrical circuits is a widely known and successfully used technique in research and development. Although finite element methods software development has supplanted electrical analogy techniques due to greater accuracy and intuitiveness in recent decades, the modeling of physical processes based on analogies has several advantages in some cases. Representation of physical processes in the form of lumped circuits and graphs allows researchers to estimate the system with an alternative view, use standardized methods for solving electrical circuits for non-electrical systems, and, most importantly, allows us to use electrical circuit simulators with their unique capabilities. Of particular interest for using the analogy technique are systems that include electronic components along with components belonging to other physical domains, such as mechanical, thermal, magnetic, and others. A solid-state magnetoelectric (МЕ) sensor equipped with a charge amplifier is proposed in this study as an example of analysis using the equivalent electrical circuit and simulating these circuits using SPICE-based circuit simulators. Sensor analysis is conducted with an emphasis on noise budgeting and optimizing the sensor’s signal-to-noise ratio and resolution. In addition, the steady state, the phasor, and transient types of analyses were employed to study the static and dynamic behavior of the system. Validation of the model using analytical calculations and comparison with experimental data demonstrated superior results.

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“…Meanwhile the material property and structure of ME composite have been researched intensively for the magnetic sensor application. As such, the field-dependent characteristics of piezomagnetic coefficient for magnetostrictive material [ 12 ], the effect of different magnetostrictive materials on the H dc sensitivity [ 13 , 14 , 15 , 16 ], and the optimum structure of piezoelectric/magnetostrictive composite [ 17 , 18 , 19 , 20 ] etc. were reported.…”

Section: Introductionmentioning

confidence: 99%

Dependence of Modified Butterworth Van-Dyke Model Parameters and Magnetoimpedance on DC Magnetic Field for Magnetoelectric Composites

Chen

Wang

2021

Materials

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This study investigates the impedance curve of magnetoelectric (ME) composites (i.e., Fe80Si9B11/Pb(Zr0.3Ti0.7)O3 laminate) and extracts the modified Butterworth–Van Dyke (MBVD) model’s parameters at various direct current (DC) bias magnetic fields Hdc. It is interesting to find that both the magnetoimpedance and MBVD model’s parameters of ME composite depend on Hdc, which is primarily attributed to the dependence of FeSiB’s and neighboring PZT’s material properties on Hdc. On one hand, the delta E effect and magnetostriction of FeSiB result in the change in PZT’s dielectric permittivity, leading to the variation in impedance with Hdc. On the other hand, the magnetostriction and mechanical energy dissipation of FeSiB as a function of Hdc result in the field dependences of the MBVD model’s parameters and mechanical quality factor. Furthermore, the influences of piezoelectric and electrode materials properties on the MBVD model’s parameters are analyzed. This study plays a guiding role for ME sensor design and its application.

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Magnetoelectric Vortex Magnetic Field Sensors Based on the Metglas/PZT Laminates

Cited by 15 publications

References 35 publications

A Sandwich Metal–Insulation–Metal Composite for Magnetoelectric Memory: Experiment and Modeling

A Sandwich Metal–Insulation–Metal Composite for Magnetoelectric Memory: Experiment and Modeling

Static, Dynamic, and Signal-to-Noise Analysis of a Solid-State Magnetoelectric (Me) Sensor with a Spice-Based Circuit Simulator

Dependence of Modified Butterworth Van-Dyke Model Parameters and Magnetoimpedance on DC Magnetic Field for Magnetoelectric Composites

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