Magnetostrictive-based Jerk Sensor: Experimental characterization and analytical estimation of sensitivity

In this study, we explore the utilization of the magnetostrictive transduction principle for the creation of a single-axis inertial sensor. A prototype sensor is constructed using magnetostrictive Terfenol-D. We characterize the accelerometer's sensitivity through two independent methodologies, yielding results that align with finite-element analysis. Notably, the sensor exhibits an inherent response to jerk—the time derivative of acceleration—resulting in an accelerometer sensitivity that maintains a +6 dB/octave slope relative to frequency, up to the sensor's first resonance. This design features a low output impedance, akin to moving-coil geophones, thus eliminating the necessity for intermediary buffering electronics. Moreover, we present a first-order analytical method for estimating the maximum achievable sensitivity of the sensor and thereby offering an efficient tool applicable to a broader spectrum of magnetostrictive-based sensor designs.

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Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0037435
Primary Topic
Neural Networks and Applications
Type
article
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article

Magnetostrictive-based Jerk Sensor: Experimental characterization and analytical estimation of sensitivity

Xiaoyu Niu, Yuqi Meng, Zihuan Liu, Neal A. Hall et al.
The Journal of the Acoustical Society of America
Neural Networks and Applications
article

Magnetostrictive-based Jerk Sensor: Experimental characterization and analytical estimation of sensitivity

Xiaoyu Niu, Yuqi Meng, Zihuan Liu, Neal A. Hall, Ehsan Vatankhah
article en

Abstract

In this study, we explore the utilization of the magnetostrictive transduction principle for the creation of a single-axis inertial sensor. A prototype sensor is constructed using magnetostrictive Terfenol-D. We characterize the accelerometer's sensitivity through two independent methodologies, yielding results that align with finite-element analysis. Notably, the sensor exhibits an inherent response to jerk—the time derivative of acceleration—resulting in an accelerometer sensitivity that maintains a +6 dB/octave slope relative to frequency, up to the sensor's first resonance. This design features a low output impedance, akin to moving-coil geophones, thus eliminating the necessity for intermediary buffering electronics. Moreover, we present a first-order analytical method for estimating the maximum achievable sensitivity of the sensor and thereby offering an efficient tool applicable to a broader spectrum of magnetostrictive-based sensor designs.

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
The University of Texas at Austin (US)
Openalex Percentile: Top 91%
Neural Networks and Applications
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Magnetostrictive-based Jerk Sensor: Experimental characterization and analytical estimation of sensitivity — Xiaoyu Niu, Yuqi Meng, et al. · The Journal of the Acoustical Society of America (2025) | TGRS Research Map | TGRS