Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method

This article presents the optimization of a MEMS-based piezoresistive accelerometer sensor using design of experiment (DOE) approach. Two structures of accelerometers, which consist of a proof mass suspended by eight beams, have been investigated. Response surface method (RSM) was employed to optimi...

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Main Authors: Yusof, Norliana, Bais, Badariah, Soin, Norhayati, Majlis, Burhanuddin Yeop
Format: Conference or Workshop Item
Published: 2021
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Online Access:http://eprints.um.edu.my/35449/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115099606&doi=10.1109%2fRSM52397.2021.9511599&partnerID=40&md5=6603dfa28bb3c5262f3efb4f94053c94
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spelling my.um.eprints.354492023-10-10T02:36:00Z http://eprints.um.edu.my/35449/ Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method Yusof, Norliana Bais, Badariah Soin, Norhayati Majlis, Burhanuddin Yeop TK Electrical engineering. Electronics Nuclear engineering This article presents the optimization of a MEMS-based piezoresistive accelerometer sensor using design of experiment (DOE) approach. Two structures of accelerometers, which consist of a proof mass suspended by eight beams, have been investigated. Response surface method (RSM) was employed to optimize the geometric beam parameters (thickness, width and length) in order to obtain high sensitivity with an appropriate resonant frequency that satisfies the design requirements for airbag application. The beam thickness, beam width, and beam length were optimized to achieve 0-400Hz bandwidth with high sensitivity. By implementing RSM, the best combination of the three parameters for structure 1 was thickness, = 23 μm, width, = 210 μm, and length, = 800 μm. On the other hand, the best combination of the three parameters for structure 2 was thickness, = 20 μm, width, = 300 μm, and length, = 800 μm. As a result, by using optimized beam parameters, the mechanical sensitivity of the MEMS accelerometer sensor was increased by almost 34.7 and 22.1 for structure 1 and structure 2, respectively. The optimization results showed that the predicted beam parameters of MEMS accelerometer managed to achieve the target specifications for airbag application. Hence, the approach can be successfully applied in improving performance of MEMS-based devices. © 2021 IEEE. 2021 Conference or Workshop Item PeerReviewed Yusof, Norliana and Bais, Badariah and Soin, Norhayati and Majlis, Burhanuddin Yeop (2021) Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method. In: 13th IEEE Regional Symposium on Micro and Nanoelectronics, RSM 2021, 2 - 4 August 2021, Virtual, Kuala Lumpur. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115099606&doi=10.1109%2fRSM52397.2021.9511599&partnerID=40&md5=6603dfa28bb3c5262f3efb4f94053c94
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yusof, Norliana
Bais, Badariah
Soin, Norhayati
Majlis, Burhanuddin Yeop
Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method
description This article presents the optimization of a MEMS-based piezoresistive accelerometer sensor using design of experiment (DOE) approach. Two structures of accelerometers, which consist of a proof mass suspended by eight beams, have been investigated. Response surface method (RSM) was employed to optimize the geometric beam parameters (thickness, width and length) in order to obtain high sensitivity with an appropriate resonant frequency that satisfies the design requirements for airbag application. The beam thickness, beam width, and beam length were optimized to achieve 0-400Hz bandwidth with high sensitivity. By implementing RSM, the best combination of the three parameters for structure 1 was thickness, = 23 μm, width, = 210 μm, and length, = 800 μm. On the other hand, the best combination of the three parameters for structure 2 was thickness, = 20 μm, width, = 300 μm, and length, = 800 μm. As a result, by using optimized beam parameters, the mechanical sensitivity of the MEMS accelerometer sensor was increased by almost 34.7 and 22.1 for structure 1 and structure 2, respectively. The optimization results showed that the predicted beam parameters of MEMS accelerometer managed to achieve the target specifications for airbag application. Hence, the approach can be successfully applied in improving performance of MEMS-based devices. © 2021 IEEE.
format Conference or Workshop Item
author Yusof, Norliana
Bais, Badariah
Soin, Norhayati
Majlis, Burhanuddin Yeop
author_facet Yusof, Norliana
Bais, Badariah
Soin, Norhayati
Majlis, Burhanuddin Yeop
author_sort Yusof, Norliana
title Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method
title_short Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method
title_full Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method
title_fullStr Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method
title_full_unstemmed Beam parameters optimization of MEMS piezoresistive accelerometer by using response surface method
title_sort beam parameters optimization of mems piezoresistive accelerometer by using response surface method
publishDate 2021
url http://eprints.um.edu.my/35449/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115099606&doi=10.1109%2fRSM52397.2021.9511599&partnerID=40&md5=6603dfa28bb3c5262f3efb4f94053c94
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score 13.18916