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A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis

A major problem that often arises in modeling Micro Electro Mechanical Systems (MEMS) such as Surface Acoustic Wave (SAW) sensors using Finite Element Analysis (FEA) is the extensive computational capacity required. In this study a new approach is adopted to significantly reduce the computational ca...

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Detalles Bibliográficos
Autores principales: El Gowini, Mohamed M., Moussa, Walied A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267204/
https://www.ncbi.nlm.nih.gov/pubmed/22303156
http://dx.doi.org/10.3390/s91209945
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author El Gowini, Mohamed M.
Moussa, Walied A.
author_facet El Gowini, Mohamed M.
Moussa, Walied A.
author_sort El Gowini, Mohamed M.
collection PubMed
description A major problem that often arises in modeling Micro Electro Mechanical Systems (MEMS) such as Surface Acoustic Wave (SAW) sensors using Finite Element Analysis (FEA) is the extensive computational capacity required. In this study a new approach is adopted to significantly reduce the computational capacity needed for analyzing the response of a SAW sensor using the finite element (FE) method. The approach is based on the plane wave solution where the properties of the wave vary in two dimensions and are uniform along the thickness of the device. The plane wave solution therefore allows the thickness of the SAW device model to be minimized; the model is referred to as a Reduced 3D Model (R3D). Various configurations of this novel R3D model are developed and compared with theoretical and experimental frequency data and the results show very good agreement. In addition, two-dimensional (2D) models with similar configurations to the R3D are developed for comparison since the 2D approach is widely adopted in the literature as a computationally inexpensive approach to model SAW sensors using the FE method. Results illustrate that the R3D model is capable of capturing the SAW response more accurately than the 2D model; this is demonstrated by comparison of centre frequency and insertion loss values. These results are very encouraging and indicate that the R3D model is capable of capturing the MEMS-based SAW sensor response without being computationally expensive.
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spelling pubmed-32672042012-02-02 A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis El Gowini, Mohamed M. Moussa, Walied A. Sensors (Basel) Article A major problem that often arises in modeling Micro Electro Mechanical Systems (MEMS) such as Surface Acoustic Wave (SAW) sensors using Finite Element Analysis (FEA) is the extensive computational capacity required. In this study a new approach is adopted to significantly reduce the computational capacity needed for analyzing the response of a SAW sensor using the finite element (FE) method. The approach is based on the plane wave solution where the properties of the wave vary in two dimensions and are uniform along the thickness of the device. The plane wave solution therefore allows the thickness of the SAW device model to be minimized; the model is referred to as a Reduced 3D Model (R3D). Various configurations of this novel R3D model are developed and compared with theoretical and experimental frequency data and the results show very good agreement. In addition, two-dimensional (2D) models with similar configurations to the R3D are developed for comparison since the 2D approach is widely adopted in the literature as a computationally inexpensive approach to model SAW sensors using the FE method. Results illustrate that the R3D model is capable of capturing the SAW response more accurately than the 2D model; this is demonstrated by comparison of centre frequency and insertion loss values. These results are very encouraging and indicate that the R3D model is capable of capturing the MEMS-based SAW sensor response without being computationally expensive. Molecular Diversity Preservation International (MDPI) 2009-12-08 /pmc/articles/PMC3267204/ /pubmed/22303156 http://dx.doi.org/10.3390/s91209945 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
El Gowini, Mohamed M.
Moussa, Walied A.
A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis
title A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis
title_full A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis
title_fullStr A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis
title_full_unstemmed A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis
title_short A Reduced Three Dimensional Model for SAW Sensors Using Finite Element Analysis
title_sort reduced three dimensional model for saw sensors using finite element analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267204/
https://www.ncbi.nlm.nih.gov/pubmed/22303156
http://dx.doi.org/10.3390/s91209945
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