DocumentCode
3462863
Title
A general Green function analysis for SAW devices
Author
Peach, R.C.
Author_Institution
COM DEV Ltd., Cambridge, Ont., Canada
Volume
1
fYear
1995
fDate
7-10 Nov 1995
Firstpage
221
Abstract
Methods for calculating Green functions that can fully characterize the properties of a SAW substrate with respect to both mechanical and electrical excitation are described. The Green function is initially represented as a 4×4 matrix of functions in k (wavenumber) space; it describes the three surface displacement components and the electrical potential in terms of the three surface stress components and the surface charge density (line sources are assumed). The x space representation of the Green function is computed by a Fourier transform when required. The software includes facilities for locating and characterizing all singular points. The Green function method has been applied to the analysis of wave propagation in periodic structures including both electrical and mass loading effects; a simple normal mode model is used to describe the mechanical behaviour of the electrodes. Examples of practical analyses are given; data is also given on the convergence of the method with respect to the numbers of sample points
Keywords
Green´s function methods; convergence of numerical methods; matrix algebra; surface acoustic wave devices; ultrasonic propagation; Fourier transform; Green function analysis; SAW devices; SAW substrate properties; convergence; electrical excitation; electrical loading effects; mass loading effects; mechanical excitation; normal mode model; periodic structures; surface charge density; surface displacement components; surface stress components; wave propagation; Electric potential; Fourier transforms; Green function; Mechanical factors; Periodic structures; Space charge; Stress; Surface acoustic wave devices; Surface acoustic waves; Surface waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 1995. Proceedings., 1995 IEEE
Conference_Location
Seattle, WA
ISSN
1051-0117
Print_ISBN
0-7803-2940-6
Type
conf
DOI
10.1109/ULTSYM.1995.495572
Filename
495572
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