Modeling and characterization of piezoelectric transducers by means of scattering parameters. Part II: Application on colloidal suspension monitoring

Autor: Enrico Sangiorgi, Marco Tartagni, Aldo Romani, Alessandro Golfarelli, Rudi Paolo Paganelli, Michele Magi
Přispěvatelé: R. P. Paganelli, A. Romani, A. Golfarelli, M. Magi, E. Sangiorgi, M. Tartagni
Rok vydání: 2010
Předmět:
Zdroj: Sensors and actuators. A, Physical
160 (2010): 1–8. doi:10.1016/j.sna.2010.03.027
info:cnr-pdr/source/autori:R. P. Paganelli; A. Romani; A. Golfarelli; M. Magi; E. Sangiorgi; M. Tartagni/titolo:Modeling and characterization of piezoelectric transducers by means of scattering parameters. Part II: Application on colloidal suspension monitoring/doi:10.1016%2Fj.sna.2010.03.027/rivista:Sensors and actuators. A, Physical (Print)/anno:2010/pagina_da:1/pagina_a:8/intervallo_pagine:1–8/volume:160
ISSN: 0924-4247
DOI: 10.1016/j.sna.2010.03.027
Popis: This paper illustrates the application of the S-parameter concept for the analysis of the response of a piezoelectric sensor exploited for the discrimination of bentonite colloids of interest in construction engineering. The device is a millimeter-sized cantilever beam fully immersed in the suspension under examination. The beam is energized by a sweeping sinusoidal voltage: the electrical admittance is measured and the corresponding S-parameter is calculated. A procedure for the extraction of the lumped element circuital model is presented and the identification process clearly improves when the S-parameter response is used. Dealing with variable loading conditions, any change on density and/or viscosity of the interacting fluid determines a well-behaved variation of the frequency response associated with the principal modes of mechanical vibration. Inspection of response variations, especially in the S-parameter Smith chart and in the neighborhoods of resonance, allows the discrimination of different loading mixtures. Experimentation was carried out with 2.5%, 5.0%, 7.5% and 10.0% bentonite mixtures and the sensor has been able to fully discriminate between these different bentonite colloidal suspensions.
Databáze: OpenAIRE