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 op...

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Bibliographic Details
Main Authors: Norliana, Yusof, Badariah, Bais, Norhayati, Soin, Burhanuddin Yeop, Majlis
Format: Conference or Workshop Item
Language:English
English
English
Published: 2021
Subjects:
Online Access:http://eprints.unisza.edu.my/4264/1/FH03-FRIT-21-55630.pdf
http://eprints.unisza.edu.my/4264/2/FH03-FRIT-21-55631.pdf
http://eprints.unisza.edu.my/4264/3/FH03-FRIT-21-56579.pdf
http://eprints.unisza.edu.my/4264/
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Summary: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.