Paper
8 March 2014 Fourier-based design of acoustic strain rosettes
Author Affiliations +
Abstract
The paper reports on the design of surface acoustic wave strain sensing devices based on a Fourier approach. A patterned sensing surface acts as a narrow band filter for surface acoustic waves. The center frequencies vary as functions of the amount of strain present in the sensing area, and can be thus used to estimate the surface strain. The design of the sensing pattern in the Fourier space allows the selection of multiple sensing frequencies and for their shifting characteristics to be related to the three components of strain, i.e. two normal and one shear. The result is a surface acoustic wave strain gauge that acts as a strain rosette. The design procedure formulates the problem in the wavenumber domain, whereby the radiation characteristics of the sensing surface in response to an incident broadband surface wave are selected to ensure sensitivity to all three strain components. The concept is first illustrated for a one-dimensional pattern, whose radiation characteristics are governed by a simple, scalar, grating equation. The design approach is then extended to a two-dimensional pattern to demonstrate the ability to simultaneously measure all three surface strain components. The rosette-like operation of the considered strain sensor is demonstrated through numerical simulations conducted on an elastic surface subjected to a pre-imposed strain state. Eventually, the multi-band filtering properties of the proposed sensor patterning are evaluated experimentally by means of a Scanning Laser Doppler Vibrometer (SLDV).
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matteo Carrara and Massimo Ruzzene "Fourier-based design of acoustic strain rosettes", Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 906135 (8 March 2014); https://doi.org/10.1117/12.2045059
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KEYWORDS
Sensors

Acoustics

Optical lithography

Transducers

Electrodes

Aerospace engineering

Ferroelectric materials

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