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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8038799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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