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Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
In this paper, a cylindrical cavity sensor based on microwave resonant theory is proposed to distinguish between various driveability index gasolines under temperature variations. The working principle of the proposed sensor is based on the fact that the change in permittivity of gasoline samples in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864655/ https://www.ncbi.nlm.nih.gov/pubmed/31653036 http://dx.doi.org/10.3390/s19214626 |
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author | Lee, Chong Hyun Jeong, Yoon-Sang Ashraf, Hina |
author_facet | Lee, Chong Hyun Jeong, Yoon-Sang Ashraf, Hina |
author_sort | Lee, Chong Hyun |
collection | PubMed |
description | In this paper, a cylindrical cavity sensor based on microwave resonant theory is proposed to distinguish between various driveability index gasolines under temperature variations. The working principle of the proposed sensor is based on the fact that the change in permittivity of gasoline samples inside cavity sensor will also cause a change in resonant frequency. The proposed sensor has good sensitivity in terms of resonant frequency separation, which enables it to capture the minute permittivity changes and distinguish different gasolines. By using a normal gasoline permittivity of 2.15 and changing sensor dimension parameters, the sensor was designed by high-frequency structure simulator (HFSS). The designed sensor has a resonant frequency of 7.119 GHz for the TM(012) mode with a 19.2 mm radius, a 35 mm height, and one-port coupling probe of 8 mm height. The proposed cylindrical cavity sensor shows advantages of excellent resonant characteristics of small cavity size and small sample amount. To optimize and verify the parameters of the sensor, many experiments have been carried out using HFSS and a vector network analyzer (VNA). Consequently, the proposed sensor is proven to be robust to temperature changes in terms of resonant frequency separation. The minimum frequency separation to distinguish gasoline samples is found to be larger than 29 MHz with reflection coefficients under −11 dB for temperature changes from −35 °C to 0 °C. The consistency of experimental and theoretical results also are presented, which guarantees accuracy of the sensor for the distinction of gasoline. |
format | Online Article Text |
id | pubmed-6864655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68646552019-12-23 Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness Lee, Chong Hyun Jeong, Yoon-Sang Ashraf, Hina Sensors (Basel) Article In this paper, a cylindrical cavity sensor based on microwave resonant theory is proposed to distinguish between various driveability index gasolines under temperature variations. The working principle of the proposed sensor is based on the fact that the change in permittivity of gasoline samples inside cavity sensor will also cause a change in resonant frequency. The proposed sensor has good sensitivity in terms of resonant frequency separation, which enables it to capture the minute permittivity changes and distinguish different gasolines. By using a normal gasoline permittivity of 2.15 and changing sensor dimension parameters, the sensor was designed by high-frequency structure simulator (HFSS). The designed sensor has a resonant frequency of 7.119 GHz for the TM(012) mode with a 19.2 mm radius, a 35 mm height, and one-port coupling probe of 8 mm height. The proposed cylindrical cavity sensor shows advantages of excellent resonant characteristics of small cavity size and small sample amount. To optimize and verify the parameters of the sensor, many experiments have been carried out using HFSS and a vector network analyzer (VNA). Consequently, the proposed sensor is proven to be robust to temperature changes in terms of resonant frequency separation. The minimum frequency separation to distinguish gasoline samples is found to be larger than 29 MHz with reflection coefficients under −11 dB for temperature changes from −35 °C to 0 °C. The consistency of experimental and theoretical results also are presented, which guarantees accuracy of the sensor for the distinction of gasoline. MDPI 2019-10-24 /pmc/articles/PMC6864655/ /pubmed/31653036 http://dx.doi.org/10.3390/s19214626 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 Lee, Chong Hyun Jeong, Yoon-Sang Ashraf, Hina Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness |
title | Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness |
title_full | Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness |
title_fullStr | Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness |
title_full_unstemmed | Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness |
title_short | Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness |
title_sort | cylindrical cavity sensor for distinction of various driveability index gasoline with temperature robustness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864655/ https://www.ncbi.nlm.nih.gov/pubmed/31653036 http://dx.doi.org/10.3390/s19214626 |
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