Abstract
Nonlinear Magneto-Electric Response of Giant Magnetostrictive-Piezoelectric Composite Sensors Subjected to Harmonic and Colored Noise Excitation
Highlights
The past few years have seen an increasing focus on research on giant magnetostrictivepiezoelectric composite sensors
The magnetoelectric properties of piezoelectricmagnetostrictive laminate composites were first studied by Ryu et al[1] Giant magnetoelectric effects in ferroic composites of rare-earth-iron alloys were calculated by Nan and Li.[2]. Longitudinal and transverse magnetoelectric voltage coefficients of magnetostrictive-piezoelectric laminate composites were analyzed by Dong et al[3] The magnetoelectric behavior of Terfenol-D composite and Pb-Zr-Ti (PZT) ceramic laminates were studied by Nersessian et al[4] In the sensor field, magnetoelectric effects in magnetostrictive-piezoelectric composites combined with flux concentration effects in sensitive magnetic sensors were improved by Zhang et al,(5) and the nonlinear dynamic characteristics of giant magnetostrictive sensors were studied by Zhu et al[6] many achievements in magnetostrictive-piezoelectric composite structure have been made in previous
The composite sensor is made of giant magnetostrictive material (Terfenol-D film), a polyimide substrate, and PZT piezoelectric ceramics
Summary
The past few years have seen an increasing focus on research on giant magnetostrictivepiezoelectric composite sensors. This sensor has considerable potential for measuring magnetic field intensity (MFI). The purpose of a giant magnetostrictive-piezoelectric composite sensor is to measure the magnetic field. Hysteretic models of the inverse piezoelectric effect in piezoelectric ceramics and the magnetostrictive effect in giant magnetostrictive materials are both proposed, and a nonlinear dynamic model of a giant magnetostrictive-piezoelectric composite sensor subjected to harmonic and colored noise magnetic excitation is presented; the nonlinear magnetoelectric response characteristics of the system are analyzed, and the effect of the stochastic noise intensity on the system’s dynamical response are discussed
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