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Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis
In recent years, finite element analysis is increasingly adopted to simulate the mechanism of metal oxide semiconductor (MOS) resistive gas sensors. In this article, the chemical reaction engineering module in the COMSOL Multiphysics tool is used to describe the dynamic equilibrium process of oxygen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387441/ https://www.ncbi.nlm.nih.gov/pubmed/34433870 http://dx.doi.org/10.1038/s41598-021-96591-2 |
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author | Li, Songlin Zhang, Min Wang, Hai |
author_facet | Li, Songlin Zhang, Min Wang, Hai |
author_sort | Li, Songlin |
collection | PubMed |
description | In recent years, finite element analysis is increasingly adopted to simulate the mechanism of metal oxide semiconductor (MOS) resistive gas sensors. In this article, the chemical reaction engineering module in the COMSOL Multiphysics tool is used to describe the dynamic equilibrium process of oxygen ions in the sensor. The boundary conditions of temperature transfer, conductivity model, and mass transfer are applied to simulate the convection, diffusion, and penetration processes. The response of the sensor at different temperatures (445 K–521 K) and different target gas concentrations (1–500 ppm) is simulated. In this paper, the dynamic model of oxygen ions is used creatively as a bridge between gas concentration and sensor response instead of the traditional direct parameter fitting method. The simulated result of the surface oxygen ion control and permeability control model of the MOS gas sensor shows a good agreement with the real sensor. For explaining the principle of metal oxide semiconductor gas sensors simulations has been performed on COMSOL Multiphysics software. The proposed method in this paper is based on the underlying transfer logic of the sensor signal, it is expected to predict the sensor signal and assist the sensor design. |
format | Online Article Text |
id | pubmed-8387441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83874412021-09-01 Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis Li, Songlin Zhang, Min Wang, Hai Sci Rep Article In recent years, finite element analysis is increasingly adopted to simulate the mechanism of metal oxide semiconductor (MOS) resistive gas sensors. In this article, the chemical reaction engineering module in the COMSOL Multiphysics tool is used to describe the dynamic equilibrium process of oxygen ions in the sensor. The boundary conditions of temperature transfer, conductivity model, and mass transfer are applied to simulate the convection, diffusion, and penetration processes. The response of the sensor at different temperatures (445 K–521 K) and different target gas concentrations (1–500 ppm) is simulated. In this paper, the dynamic model of oxygen ions is used creatively as a bridge between gas concentration and sensor response instead of the traditional direct parameter fitting method. The simulated result of the surface oxygen ion control and permeability control model of the MOS gas sensor shows a good agreement with the real sensor. For explaining the principle of metal oxide semiconductor gas sensors simulations has been performed on COMSOL Multiphysics software. The proposed method in this paper is based on the underlying transfer logic of the sensor signal, it is expected to predict the sensor signal and assist the sensor design. Nature Publishing Group UK 2021-08-25 /pmc/articles/PMC8387441/ /pubmed/34433870 http://dx.doi.org/10.1038/s41598-021-96591-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Songlin Zhang, Min Wang, Hai Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
title | Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
title_full | Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
title_fullStr | Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
title_full_unstemmed | Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
title_short | Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
title_sort | simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387441/ https://www.ncbi.nlm.nih.gov/pubmed/34433870 http://dx.doi.org/10.1038/s41598-021-96591-2 |
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