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Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
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Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
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Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness

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Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness
Journal Article

Cylindrical Cavity Sensor for Distinction of Various Driveability Index Gasoline with Temperature Robustness

2019
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Overview
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 TM012 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.