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Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime

We present a novel analysis of gas damping in capacitive MEMS transducers that is based on a simple analytical model, assisted by Monte-Carlo simulations performed in Molflow+ to obtain an estimate for the geometry dependent gas diffusion time. This combination provides results with minimal computat...

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Detalles Bibliográficos
Autores principales: Boom, Boris A., Bertolini, Alessandro, Hennes, Eric, van den Brand, Johannes F. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038799/
https://www.ncbi.nlm.nih.gov/pubmed/33917550
http://dx.doi.org/10.3390/s21072566
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author Boom, Boris A.
Bertolini, Alessandro
Hennes, Eric
van den Brand, Johannes F. J.
author_facet Boom, Boris A.
Bertolini, Alessandro
Hennes, Eric
van den Brand, Johannes F. J.
author_sort Boom, Boris A.
collection PubMed
description We present a novel analysis of gas damping in capacitive MEMS transducers that is based on a simple analytical model, assisted by Monte-Carlo simulations performed in Molflow+ to obtain an estimate for the geometry dependent gas diffusion time. This combination provides results with minimal computational expense and through freely available software, as well as insight into how the gas damping depends on the transducer geometry in the molecular flow regime. The results can be used to predict damping for arbitrary gas mixtures. The analysis was verified by experimental results for both air and helium atmospheres and matches these data to within 15% over a wide range of pressures.
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spelling pubmed-80387992021-04-12 Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime Boom, Boris A. Bertolini, Alessandro Hennes, Eric van den Brand, Johannes F. J. Sensors (Basel) Article We present a novel analysis of gas damping in capacitive MEMS transducers that is based on a simple analytical model, assisted by Monte-Carlo simulations performed in Molflow+ to obtain an estimate for the geometry dependent gas diffusion time. This combination provides results with minimal computational expense and through freely available software, as well as insight into how the gas damping depends on the transducer geometry in the molecular flow regime. The results can be used to predict damping for arbitrary gas mixtures. The analysis was verified by experimental results for both air and helium atmospheres and matches these data to within 15% over a wide range of pressures. MDPI 2021-04-06 /pmc/articles/PMC8038799/ /pubmed/33917550 http://dx.doi.org/10.3390/s21072566 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Boom, Boris A.
Bertolini, Alessandro
Hennes, Eric
van den Brand, Johannes F. J.
Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime
title Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime
title_full Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime
title_fullStr Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime
title_full_unstemmed Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime
title_short Gas Damping in Capacitive MEMS Transducers in the Free Molecular Flow Regime
title_sort gas damping in capacitive mems transducers in the free molecular flow regime
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038799/
https://www.ncbi.nlm.nih.gov/pubmed/33917550
http://dx.doi.org/10.3390/s21072566
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