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Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry

In this paper miniaturization of a microstrip patch strain sensor (MPSS) using fractal geometry was proposed and analyzed. For this purpose, the transducer of Sierpinski curve geometry was utilized and compared with the most commonly utilized rectangular resonator-based one. Both sensors were design...

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Detalles Bibliográficos
Autores principales: Herbko, Michal, Lopato, Przemyslaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767345/
https://www.ncbi.nlm.nih.gov/pubmed/31540190
http://dx.doi.org/10.3390/s19183989
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author Herbko, Michal
Lopato, Przemyslaw
author_facet Herbko, Michal
Lopato, Przemyslaw
author_sort Herbko, Michal
collection PubMed
description In this paper miniaturization of a microstrip patch strain sensor (MPSS) using fractal geometry was proposed and analyzed. For this purpose, the transducer of Sierpinski curve geometry was utilized and compared with the most commonly utilized rectangular resonator-based one. Both sensors were designed for the same resonant frequency value (2.725 GHz). This fact allows analysis of the influence of the patch (resonator) shape and size on the resonant frequency shift. This is very important as the sensors with the same resonator shape but designed on various operating frequencies have various resonant frequency shifts. Simulation and experimental analysis for all sensors were carried out. A good convergence between results of simulation and measurements was achieved. The obtained results proved the possibility of microstrip strain sensor dimensions reduction using Sierpinski curve fractal geometry. Additionally, an influence of microstrip line deformation for proposed sensors was studied.
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spelling pubmed-67673452019-10-02 Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry Herbko, Michal Lopato, Przemyslaw Sensors (Basel) Article In this paper miniaturization of a microstrip patch strain sensor (MPSS) using fractal geometry was proposed and analyzed. For this purpose, the transducer of Sierpinski curve geometry was utilized and compared with the most commonly utilized rectangular resonator-based one. Both sensors were designed for the same resonant frequency value (2.725 GHz). This fact allows analysis of the influence of the patch (resonator) shape and size on the resonant frequency shift. This is very important as the sensors with the same resonator shape but designed on various operating frequencies have various resonant frequency shifts. Simulation and experimental analysis for all sensors were carried out. A good convergence between results of simulation and measurements was achieved. The obtained results proved the possibility of microstrip strain sensor dimensions reduction using Sierpinski curve fractal geometry. Additionally, an influence of microstrip line deformation for proposed sensors was studied. MDPI 2019-09-15 /pmc/articles/PMC6767345/ /pubmed/31540190 http://dx.doi.org/10.3390/s19183989 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Herbko, Michal
Lopato, Przemyslaw
Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
title Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
title_full Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
title_fullStr Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
title_full_unstemmed Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
title_short Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry
title_sort microstrip patch strain sensor miniaturization using sierpinski curve fractal geometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767345/
https://www.ncbi.nlm.nih.gov/pubmed/31540190
http://dx.doi.org/10.3390/s19183989
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