基于polymumps的MEMS传感器在微量气体检测中的应用建模

A. Algamili, M. Khir, A. Ahmed, O. L. Al-Mahdi, S. S. Ba-Hashwan, S. S. Alabsi
{"title":"基于polymumps的MEMS传感器在微量气体检测中的应用建模","authors":"A. Algamili, M. Khir, A. Ahmed, O. L. Al-Mahdi, S. S. Ba-Hashwan, S. S. Alabsi","doi":"10.1109/ICICyTA53712.2021.9689204","DOIUrl":null,"url":null,"abstract":"Gas detection sensor is crucial in many practical applications. However, numerous of the existing gas sensors still suffering from high power consumption, damping, and poor accuracy. These factors have a significant impact on the gas detection sensor's sensitivity and reliability. A Micro-Electro-Mechanical System (MEMS) is presented in this paper, along with its model with high efficiency. The sensor is based on standard Polysilicon Multi-Users-MEMS-Process (PolyMUMPs). The detection of gaseous species is dependent on a changes in the sensor's resonance frequency. The resonance frequency, quality factor, and mass sensitivity are observed to reduce as the beam length increases and to rise as the beam width increases. While overall mass rises as the length/width of the beam both increases. The analytical findings of the resonance frequency, quality factor, and mass sensitivity are found to be 9.3747 kHz, 4.5183, and 5.1676 mHz/pg, respectively.","PeriodicalId":448148,"journal":{"name":"2021 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Modeling of the PolyMUMPs-Based MEMS Sensor for Application in Trace Gas Detection\",\"authors\":\"A. Algamili, M. Khir, A. Ahmed, O. L. Al-Mahdi, S. S. Ba-Hashwan, S. S. Alabsi\",\"doi\":\"10.1109/ICICyTA53712.2021.9689204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gas detection sensor is crucial in many practical applications. However, numerous of the existing gas sensors still suffering from high power consumption, damping, and poor accuracy. These factors have a significant impact on the gas detection sensor's sensitivity and reliability. A Micro-Electro-Mechanical System (MEMS) is presented in this paper, along with its model with high efficiency. The sensor is based on standard Polysilicon Multi-Users-MEMS-Process (PolyMUMPs). The detection of gaseous species is dependent on a changes in the sensor's resonance frequency. The resonance frequency, quality factor, and mass sensitivity are observed to reduce as the beam length increases and to rise as the beam width increases. While overall mass rises as the length/width of the beam both increases. The analytical findings of the resonance frequency, quality factor, and mass sensitivity are found to be 9.3747 kHz, 4.5183, and 5.1676 mHz/pg, respectively.\",\"PeriodicalId\":448148,\"journal\":{\"name\":\"2021 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICyTA53712.2021.9689204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICyTA53712.2021.9689204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

气体检测传感器在许多实际应用中是至关重要的。然而,许多现有的气体传感器仍然存在高功耗、阻尼和精度差的问题。这些因素对气体检测传感器的灵敏度和可靠性都有很大的影响。本文提出了一种高效的微机电系统(MEMS)及其模型。该传感器基于标准多晶硅多用户mems工艺(PolyMUMPs)。气体种类的检测依赖于传感器谐振频率的变化。谐振频率、质量因子和质量灵敏度随光束长度的增加而减小,随光束宽度的增加而增大。而整体质量随着梁的长度/宽度的增加而增加。谐振频率、质量因子和质量灵敏度的分析结果分别为9.3747 kHz、4.5183和5.1676 mHz/pg。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of the PolyMUMPs-Based MEMS Sensor for Application in Trace Gas Detection
Gas detection sensor is crucial in many practical applications. However, numerous of the existing gas sensors still suffering from high power consumption, damping, and poor accuracy. These factors have a significant impact on the gas detection sensor's sensitivity and reliability. A Micro-Electro-Mechanical System (MEMS) is presented in this paper, along with its model with high efficiency. The sensor is based on standard Polysilicon Multi-Users-MEMS-Process (PolyMUMPs). The detection of gaseous species is dependent on a changes in the sensor's resonance frequency. The resonance frequency, quality factor, and mass sensitivity are observed to reduce as the beam length increases and to rise as the beam width increases. While overall mass rises as the length/width of the beam both increases. The analytical findings of the resonance frequency, quality factor, and mass sensitivity are found to be 9.3747 kHz, 4.5183, and 5.1676 mHz/pg, respectively.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信