Back to Search
Start Over
The Design and Optimization of a Compressive-Type Vector Sensor Utilizing a PMN-28PT Piezoelectric Single-Crystal
- Source :
- Sensors (Basel, Switzerland), Sensors, Volume 19, Issue 23
- Publication Year :
- 2019
- Publisher :
- MDPI, 2019.
-
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 &minus<br />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.
- Subjects :
- Materials science
Acoustics
02 engineering and technology
Accelerometer
01 natural sciences
Biochemistry
Directivity
Article
dipole beam pattern
Analytical Chemistry
0103 physical sciences
Sensitivity (control systems)
Electrical and Electronic Engineering
Instrumentation
010302 applied physics
single-crystal accelerometer
Piezoelectric accelerometer
021001 nanoscience & nanotechnology
receiving voltage sensitivity
Piezoelectricity
Atomic and Molecular Physics, and Optics
Finite element method
Dipole
Cardioid
compressive-type vector sensor
0210 nano-technology
cardioid beam pattern
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 19
- Issue :
- 23
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....7e744f4d68c4320ba429183b8e4c5eb1