2023
DOI: 10.3390/s23031688
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Numerical Approaches for Recovering the Deformable Membrane Profile of Electrostatic Microdevices for Biomedical Applications

Abstract: Recently, a circular symmetrical nonlinear stationary 2D differential model for biomedical micropumps, where the amplitude of the electrostatic field is locally proportional to the curvature of the membrane, was studied in detail. Starting from this, in this work, we first introduce a positive and limited function to model the dielectric properties of the material constituting the membrane according to experimental evidence which highlights that electrostatic capacitance variation occurs when the membrane defo… Show more

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Cited by 3 publications
(2 citation statements)
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“…The precise prediction of parasitic effects is crucial within a system for achieving impedance matching. Numerical methods assist circuit designers in understanding the design phase and even enable the direct implementation of designs [14]. By extracting equivalent circuit parameters from the electromagnetic (EM) model and establishing an equivalent circuit model, it becomes possible to comprehend and optimize circuit designs using circuit analysis methods.…”
Section: Design Of Gcpw To Gcpw Hot Via Transitionmentioning
confidence: 99%
“…The precise prediction of parasitic effects is crucial within a system for achieving impedance matching. Numerical methods assist circuit designers in understanding the design phase and even enable the direct implementation of designs [14]. By extracting equivalent circuit parameters from the electromagnetic (EM) model and establishing an equivalent circuit model, it becomes possible to comprehend and optimize circuit designs using circuit analysis methods.…”
Section: Design Of Gcpw To Gcpw Hot Via Transitionmentioning
confidence: 99%
“…However, to reduce the risk of fuzzy rule banks with numerous rules, and at the same time start evaluating any fuzzy assumptions for stability, it appears necessary to verify that these evolutionary models admit a single solution (thus ensuring that, at least in principle, the outputs of fuzzy systems do not represent ghost solutions [70,71]). So, in this article, before proceeding with the design of fuzzy systems, this verification was performed using analytical techniques now consolidated in the literature.…”
mentioning
confidence: 99%