Modeling and optimization of directive acoustical particle velocity sensors for ultrasonic applications

Benvenuti, Lorenzo; Catania, Alessandro; Bruschi, P.; Piotto, M.

doi:10.1016/j.sna.2020.112504

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…Since the thermal conductivity in the nonlinear model increases with air temperature, this will slow down the trend of the temperature increase. As a result, the sensitivity of the AVS will also decrease at higher heating power, which is in agreement with the proposed finite element method (FEM) models [23,24].…”

Section: Simulation and Resultssupporting

confidence: 86%

An analytical model of three-hot-wire acoustic particle velocity sensors

Zhu

Chen

Yang

et al. 2023

J. Micromech. Microeng.

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A thermal based acoustic vector sensor consisting of three heated wires can detect the acoustic particle velocity instead of pressure. This paper proposes an analytical model for calculating the temperature distribution and acoustic caused temperature perturbation of the sensor with three-hot-wire configuration. In this model, the nonlinear effect caused by nonuniform thermal conductivity is considered. The nonlinear effects will not only affect the temperature of three hot wires, but also the frequency response of the sensor. According to the stationary temperature distribution calculated by nonlinear model, we correct the heat diffusion coefficient in acoustic perturbation model. The nonlinear stationary model and corrected perturbation model are found to be in good agreement with numerical results.What’s more, we design a chip to measure the temperature distribution of three heated wires and compare the sensitivity of the sensor with corrected model. The experimental results can verify the proposed model. This study provides a theoretical basis for sensor performance optimization.

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Section: Simulation and Resultssupporting

confidence: 86%