2022
DOI: 10.3390/s22218421
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Photothermal Self-Excitation of a Phase-Controlled Microcantilever for Viscosity or Viscoelasticity Sensing

Abstract: This work presents a feedback closed-loop platform to be used for viscosity or viscoelasticity sensing of Newtonian or non-Newtonian fluids. The system consists of a photothermally excited microcantilever working in a digital Phase-Locked Loop, in which the phase between the excitation signal to the cantilever and the reference demodulating signals is chosen and imposed in the loop. General analytical models to describe the frequency and amplitude of oscillation of the cantilever immersed in viscous and viscoe… Show more

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Cited by 5 publications
(4 citation statements)
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“…The possibility of controlling the imposed phase between the direct forcing and the reference demodulating signals has proved interesting for sensing applications, since, as shown, it is not always preferred to work at resonance ( rad), and some different phases may be more advantageous 25 .…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The possibility of controlling the imposed phase between the direct forcing and the reference demodulating signals has proved interesting for sensing applications, since, as shown, it is not always preferred to work at resonance ( rad), and some different phases may be more advantageous 25 .…”
Section: Methodsmentioning
confidence: 99%
“…( 1) can be linearized as Equation ( 4) indicates the expected shift of frequency in real-time measurements of a process in which the gas density change by a small amount, around an initial working point. This method is general and can be used to study the responsivity to any other rheological or geometrical parameters 25 .…”
Section: Modelled Responsivity To Density Variations In the Pll The P...mentioning
confidence: 99%
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“…These expressions are derived in detail in previous works [30], [31], in which a very similar system was used to measure the viscosity and viscoelastic properties of liquids.…”
Section: B Analytical Modelmentioning
confidence: 99%