Cited 0 time in webofscience Cited 0 time in scopus

The design and optimization of a compressive-type vector sensor utilizing a PMN-28PT piezoelectric single-crystal

Title
The design and optimization of a compressive-type vector sensor utilizing a PMN-28PT piezoelectric single-crystal
Authors
Yeo, Hong GooChoi J.Jin C.Pyo S.Roh Y.Choi, Hongsoo
DGIST Authors
Choi, Hongsoo
Issue Date
2019-12
Citation
Sensors, 19(23)
Type
Article
Article Type
Article
Author Keywords
Cardioid beam patternCompressive-type vector sensorDipole beam patternReceiving voltage sensitivitySingle-crystal accelerometer
Keywords
AccelerometersCrystal structureLead titanatePiezoelectricitySeismologyUnderwater acousticsVectorsBeam patternDesign and optimizationGeometric optimizationPiezo-electric accelerometersPiezoelectric single crystalsSurveillance monitoringVector sensorsVoltage sensitivitySingle crystals
ISSN
1424-8220
Abstract
Underwater sensors that detect the distance and direction of acoustic sources are critical for surveillance monitoring and target detection in the water. Here, we propose an axial vector sensor that utilizes a small (~1 cm3) compressive-type piezoelectric accelerometer using piezoelectric single crystals. Initially, finite element analysis (FEA) was used to optimize the structure that comprised piezoelectric Pb(Mb1/3Nb2/3)O3-28%PbTiO3 single crystals on a tungsten seismic mass. The receiving voltage sensitivity (RVS) was enhanced through geometric optimization of the thickness and sensing area of the piezoelectric material and the seismic mass. The estimated maximum RVS of the optimized vector sensor was −212 dB. FEA simulations and practical measurements were used to verify the directivity of the vector sensor design, which exhibited a dipole pattern. The dipole beam pattern was used to obtain cardioid patterns using the simulated and measured results for comparison. The results clearly showed the feasibility of using the proposed piezoelectric single-crystal accelerometer for a compressive-type vector sensor.
URI
http://hdl.handle.net/20.500.11750/11024
DOI
10.3390/s19235155
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Related Researcher
  • Author Choi, Hongsoo Bio-Micro Robotics Lab
  • Research Interests Micro/Nano robot; Neural prostheses; MEMS; BMI; MEMS/NEMS; BioMEMS; MEMS 초음파 트랜스듀스; 인공와우
Files:
Collection:
Department of Robotics EngineeringBio-Micro Robotics Lab1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE