Laser-based surface acoustic wave spectrometer for industrial applications

2003 ◽  
Vol 74 (1) ◽  
pp. 667-669 ◽  
Author(s):  
A. A. Maznev ◽  
Alex Mazurenko ◽  
Li Zhuoyun ◽  
Michael Gostein
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Ahmed M. Al-Jumaily ◽  
Ata Meshkinzar

This paper reviews the evolution of focused ultrasonic transducers of various kinds for fluid atomization and vaporization. Ultrasonic transducers used for atomization purposes in biomedical, pharmaceutical, or industrial applications, such as surface acoustic wave (SAW) transducers, array of micromachined nozzles, and Fourier horn micromachined nozzles with or without a central channel, are all presented and compared. For simplicity of manufacturing and low cost, we focus on plates and curved and corrugated structures for biomedical humidification.


Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4237
Author(s):  
Zhenglin Chen ◽  
Qiaozhen Zhang ◽  
Congcong Li ◽  
Sulei Fu ◽  
Xiaojun Qiu ◽  
...  

Surface acoustic wave (SAW)-based sensors have become highly valued for their use as nanosensors in industrial applications. Accurate prediction of the thermal stability is a key problem for sensor design. In this work, a numerical tool based on the finite element method combined with piezoelectric Lagrangian equations has been developed to accurately predict the thermal sensitivity characteristics of surface acoustic wave devices. Theoretical analysis for the geometric nonlinearity contributing to the frequency–temperature characteristic and material constants’ dependency on temperature were taken into consideration. The thermomechanical equilibrium equation built on the three-dimensional finite element method (3D-FEM) mesh node took mesh movement into account because thermal expansion was employed. The frequency–temperature characteristics of different SAW modes, including Rayleigh waves and leaky waves excited on a piezoelectric substrate of quartz or lithium tantalate, respectively, were calculated. The theoretical accuracy of the proposed numerical tool was verified by experiments.


1981 ◽  
Vol 42 (C4) ◽  
pp. C4-365-C4-368
Author(s):  
K. L. Bhatia ◽  
M.v. Haumeder ◽  
S. Hunklinger

2014 ◽  
Vol 134 (12) ◽  
pp. 1934-1935
Author(s):  
Tsunemasa Saiki ◽  
Yuya Matsui ◽  
Yasuto Arisue ◽  
Yuichi Utsumi ◽  
Akinobu Yamaguchi

2008 ◽  
Author(s):  
A. Kabulski ◽  
V. R. Pagán ◽  
D. Cortes ◽  
R. Burda ◽  
O. M. Mukdadi ◽  
...  

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