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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
Author(s)
Yeo, Hong GooChoi, JunheeJin, ChangzhuPyo, SeonghunRoh, YongraeChoi, Hongsoo
DGIST Authors
Choi, Hongsoo
Issued Date
2019-12
Type
Article
Article Type
Article
Author Keywords
single-crystal accelerometercompressive-type vector sensorreceiving voltage sensitivitydipole beam patterncardioid beam pattern
Keywords
OF-ARRIVALINTENSITYVELOCITY
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. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/11024
DOI
10.3390/s19235155
Publisher
MDPI AG
Related Researcher
  • 최홍수 Choi, Hongsoo
  • Research Interests Micro/Nano robot; Neural prostheses; MEMS; BMI; MEMS/NEMS; BioMEMS; MEMS 초음파 트랜스듀스; 인공와우
Files in This Item:
000507606200098.pdf

000507606200098.pdf

기타 데이터 / 4.26 MB / Adobe PDF download
Appears in Collections:
Department of Robotics and Mechatronics Engineering Bio-Micro Robotics Lab 1. Journal Articles

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