Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors

In this paper, the reliability of a micro-electro-mechanical system (MEMS)-based gas sensor has been investigated using Three Dimensional (3D) coupled multiphysics Finite Element (FE) analysis. The coupled field analysis involved a two-way sequential electro- thermal fields coupling and a one-way se...

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Main Authors: Walied Moussa, Khaled Sadek
Format: Article
Language:English
Published: MDPI AG 2007-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/7/3/319/
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spelling doaj-2fd077705e6e4d5f80dc3397438ee13f2020-11-25T01:18:05ZengMDPI AGSensors1424-82202007-03-017331934010.3390/s7030319Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas SensorsWalied MoussaKhaled SadekIn this paper, the reliability of a micro-electro-mechanical system (MEMS)-based gas sensor has been investigated using Three Dimensional (3D) coupled multiphysics Finite Element (FE) analysis. The coupled field analysis involved a two-way sequential electro- thermal fields coupling and a one-way sequential thermal-structural fields coupling. An automated substructuring code was developed to reduce the computational cost involved in simulating this complicated coupled multiphysics FE analysis by up to 76 percent. The substructured multiphysics model was then used to conduct a parametric study of the MEMS-based gas sensor performance in response to the variations expected in the thermal and mechanical characteristics of thin films layers composing the sensing MEMS device generated at various stages of the microfabrication process. Whenever possible, the appropriate deposition variables were correlated in the current work to the design parameters, with good accuracy, for optimum operation conditions of the gas sensor. This is used to establish a set of design rules, using linear and nonlinear empirical relations, which can be utilized in real-time at the design and development decision-making stages of similar gas sensors to enable the microfabrication of these sensors with reliable operation.http://www.mdpi.com/1424-8220/7/3/319/MEMS gas sensorsMicrofabricationNonlinearityReliabilityFatigueSensitivityComputational CostHigh Performance Multiphysics Computation
collection DOAJ
language English
format Article
sources DOAJ
author Walied Moussa
Khaled Sadek
spellingShingle Walied Moussa
Khaled Sadek
Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors
Sensors
MEMS gas sensors
Microfabrication
Nonlinearity
Reliability
Fatigue
Sensitivity
Computational Cost
High Performance Multiphysics Computation
author_facet Walied Moussa
Khaled Sadek
author_sort Walied Moussa
title Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors
title_short Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors
title_full Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors
title_fullStr Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors
title_full_unstemmed Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors
title_sort studying the effect of deposition conditions on the performance and reliability of mems gas sensors
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2007-03-01
description In this paper, the reliability of a micro-electro-mechanical system (MEMS)-based gas sensor has been investigated using Three Dimensional (3D) coupled multiphysics Finite Element (FE) analysis. The coupled field analysis involved a two-way sequential electro- thermal fields coupling and a one-way sequential thermal-structural fields coupling. An automated substructuring code was developed to reduce the computational cost involved in simulating this complicated coupled multiphysics FE analysis by up to 76 percent. The substructured multiphysics model was then used to conduct a parametric study of the MEMS-based gas sensor performance in response to the variations expected in the thermal and mechanical characteristics of thin films layers composing the sensing MEMS device generated at various stages of the microfabrication process. Whenever possible, the appropriate deposition variables were correlated in the current work to the design parameters, with good accuracy, for optimum operation conditions of the gas sensor. This is used to establish a set of design rules, using linear and nonlinear empirical relations, which can be utilized in real-time at the design and development decision-making stages of similar gas sensors to enable the microfabrication of these sensors with reliable operation.
topic MEMS gas sensors
Microfabrication
Nonlinearity
Reliability
Fatigue
Sensitivity
Computational Cost
High Performance Multiphysics Computation
url http://www.mdpi.com/1424-8220/7/3/319/
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