Loading…

Detecting of non-uniformly distributed loads with SAW sensors using a two-dimensional segmentation method

[Display omitted] •Analysis of non-uniformly distributed loads’ effects on SAW sensor’s response.•A novel 2-D segmentation method to calculate SAW sensor’s response under multiple patterns of load’s distribution.•FEM simulation of R-SAW modes with and without SiO2 load.•Fabrication of a series of tw...

Full description

Saved in:
Bibliographic Details
Published in:Sensors and actuators. A. Physical. 2021-08, Vol.326, p.112728, Article 112728
Main Authors: You, Ran, Liu, Jiuling, Liu, Minghua, He, Shitang
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:[Display omitted] •Analysis of non-uniformly distributed loads’ effects on SAW sensor’s response.•A novel 2-D segmentation method to calculate SAW sensor’s response under multiple patterns of load’s distribution.•FEM simulation of R-SAW modes with and without SiO2 load.•Fabrication of a series of two-port R-SAW resonators with different load patterns. To accurately calculate the response of surface acoustic wave sensors with non-uniformly distributed loads, a two-dimensional segmentation method suitable for various load distribution patterns was established with the idea of channelization. In this method, the sensitive area of the sensor was divided into several channels in the direction of the aperture, and each channel was cut apart into several cells along the direction of acoustic wave propagation. Finally, the two-dimensional analysis of the non-uniform distributed load was completed since each cell was analyzed and cascaded. A Rayleigh surface acoustic wave (R-SAW) sensor was used to simulate and experiment in this paper. The results showed that the responses of SAW sensors under loads with the non-uniform distributions were simulated accurately by using a two-dimensional segmentation method.
ISSN:0924-4247
1873-3069
DOI:10.1016/j.sna.2021.112728