Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing

The purpose of this research is to design a 2D ZnO - LiNbO3 layer structured surface acoustic wave (SAW) - based sensor for sensing hydrogen gas using Finite Element Method (FEM) in COMSOL Multiphysics software. The study also focuses on the effect of thickness of Zinc Oxide sensing layer in the det...

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Main Authors: Mohammad, Adib, Mohamed Sultan, Suhana, Tan, Michael Loong Peng
Format: Conference or Workshop Item
Published: 2022
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Online Access:http://eprints.utm.my/id/eprint/98867/
http://dx.doi.org/10.1109/ICSE56004.2022.9863098
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spelling my.utm.988672023-02-02T09:56:30Z http://eprints.utm.my/id/eprint/98867/ Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing Mohammad, Adib Mohamed Sultan, Suhana Tan, Michael Loong Peng TK Electrical engineering. Electronics Nuclear engineering The purpose of this research is to design a 2D ZnO - LiNbO3 layer structured surface acoustic wave (SAW) - based sensor for sensing hydrogen gas using Finite Element Method (FEM) in COMSOL Multiphysics software. The study also focuses on the effect of thickness of Zinc Oxide sensing layer in the detection and sensitivity of hydrogen gas present. The result shows that as thickness of the intermediate layer (ZnO) is varied from 0.4 µm to 2.0 µm the frequency shift increases and the total displacement varies having the highest displacement at 0.8 µm. This suggests that with the geometry of device used 0.8 µm is the optimal thickness of the ZnO intermediate layer for best performance in sensing hydrogen gas in the atmosphere. 2022 Conference or Workshop Item PeerReviewed Mohammad, Adib and Mohamed Sultan, Suhana and Tan, Michael Loong Peng (2022) Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing. In: 2022 IEEE International Conference on Semiconductor Electronics, ICSE 2022, 15 - 17 August 2022, Virtual, Kuala Lumpur. http://dx.doi.org/10.1109/ICSE56004.2022.9863098
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohammad, Adib
Mohamed Sultan, Suhana
Tan, Michael Loong Peng
Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing
description The purpose of this research is to design a 2D ZnO - LiNbO3 layer structured surface acoustic wave (SAW) - based sensor for sensing hydrogen gas using Finite Element Method (FEM) in COMSOL Multiphysics software. The study also focuses on the effect of thickness of Zinc Oxide sensing layer in the detection and sensitivity of hydrogen gas present. The result shows that as thickness of the intermediate layer (ZnO) is varied from 0.4 µm to 2.0 µm the frequency shift increases and the total displacement varies having the highest displacement at 0.8 µm. This suggests that with the geometry of device used 0.8 µm is the optimal thickness of the ZnO intermediate layer for best performance in sensing hydrogen gas in the atmosphere.
format Conference or Workshop Item
author Mohammad, Adib
Mohamed Sultan, Suhana
Tan, Michael Loong Peng
author_facet Mohammad, Adib
Mohamed Sultan, Suhana
Tan, Michael Loong Peng
author_sort Mohammad, Adib
title Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing
title_short Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing
title_full Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing
title_fullStr Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing
title_full_unstemmed Design and simulation of 2D zinc oxide based saw gas sensor for hydrogen gas sensing
title_sort design and simulation of 2d zinc oxide based saw gas sensor for hydrogen gas sensing
publishDate 2022
url http://eprints.utm.my/id/eprint/98867/
http://dx.doi.org/10.1109/ICSE56004.2022.9863098
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score 13.18916