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Dependence of the Lamb wave viscosity sensor on the liquid morphology.
- Source :
-
Sensors & Actuators A: Physical . Aug2022, Vol. 343, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- Lamb wave sensors performing well in liquid medium are good choices for monitoring viscosity. Despite the advances in the biosensing and chemical application of Lamb wave viscosity sensors, the analysis of the dependence of the sensors on liquid morphology is still needed. Therefore, a Lamb wave viscosity sensor has been fabricated. A novel two-dimensional (2-D) array model for viscosity sensing is put forward based on the finite element analysis (FEA) method. The dependence of the resonant frequency of the sensor on liquid morphology has been simulated and experimentally tested. By comparing simulations and experiments, the frequency responses are dependent on the liquid loading position, thickness and coverage ratio on the Lamb wave sensor. In addition, the frequency response of the sensor to viscosity has been conducted using glycerol-water mixtures on the basis of controlled liquid morphology, showing a linear relationship with the square of viscosity, with 238.92 ppm/(mPa s)0.5 in simulation and 153.16 ppm/(mPa s)0.5 in the experiment. Our work potentially allows for reducing the random error of the experiments and for more exploration of Lamb wave viscosity sensors in the future study. [Display omitted] • A Lamb wave viscosity sensor with a higher-order mode has been developed. • A novel 2-D array model for viscosity sensing is proposed to describe the behavior of the sensor in liquid medium. • The dependence of sensors on liquid morphology has been studied from simulations and experiments. • The sensor exhibits a strong relationship with the liquid morphology, including the position, thickness and coverage ratio. • This work allows for reducing the random error of the experiments and for more exploration of Lamb wave viscosity sensors. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LAMB waves
*VISCOSITY
*FINITE element method
*WOOL
Subjects
Details
- Language :
- English
- ISSN :
- 09244247
- Volume :
- 343
- Database :
- Academic Search Index
- Journal :
- Sensors & Actuators A: Physical
- Publication Type :
- Academic Journal
- Accession number :
- 157744365
- Full Text :
- https://doi.org/10.1016/j.sna.2022.113694