DocumentCode :
2790939
Title :
The modeling of piezoelectric transducers using the FDTD method
Author :
Chi, Zhi-peng ; Zhao, Zheng-ping ; Li, Ning
Author_Institution :
Sch. of Inf. Eng., Hebei Univ. of Technol., Tianjin
Volume :
4
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2154
Lastpage :
2159
Abstract :
Based on the works of the finite-difference time-domain (FDTD) method to the piezoelectrics, we have extended this method to analyze electromechanical phenomena of one-dimensional multilayer piezoelectric transducers for the first time. In this method, the piezoelectric governing equations and Newtonpsilas equation are discretized to centered finite-differences, and the update equations for the transmit-receiver voltage and the piezoelectric governing equations are derived for the first time, then numerical solutions of the acoustic propagation in the time domain can be obtained by these difference equations. The model is applied to analyze the influence of thickness of the matching layer on the receiver voltages, and the propagation of particle velocity and the particle stress signals are demonstrated in space-time. In addition, this letter also applied Pronypsilas method as an alternative to FFT since it capable of obtaining resonant frequencies from shorter time - domain responses. The technique is shown to be effective for the analyses characteristics of the wave propagating in multilayer transducers for both transient and steady-state problems.
Keywords :
Newton method; acoustic transducers; acoustic wave propagation; finite difference time-domain analysis; piezoelectric transducers; Newton equation; electromechanical phenomena; finite-difference time-domain method; particle stress signals; particle velocity; piezoelectric transducers; Acoustic propagation; Difference equations; Finite difference methods; Nonhomogeneous media; Piezoelectric transducers; Resonant frequency; Signal analysis; Stress; Time domain analysis; Voltage; FDTD method; Piezoelectric transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620762
Filename :
4620762
Link To Document :
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