Department of Ocean System Engineering, Jeju National University, Jeju 690-756, Korea.
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Foundation for Advancement of Science and Technology (NUCES-FAST), H 11/4, Islamabad 44000, Pakistan.
Sensors (Basel). 2019 Oct 24;19(21):4626. doi: 10.3390/s19214626.
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 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.
本文提出了一种基于微波谐振理论的圆柱形腔传感器,用于在温度变化下区分各种可驱动性指数的汽油。该传感器的工作原理基于这样一个事实,即腔体内汽油样品介电常数的变化也会导致谐振频率发生变化。该传感器在谐振频率分离方面具有良好的灵敏度,能够捕捉到微小的介电常数变化并区分不同的汽油。通过使用普通汽油的介电常数为 2.15 并改变传感器尺寸参数,使用高频结构模拟器 (HFSS) 设计了传感器。设计的传感器的谐振频率为 7.119GHz,模式为 19.2mm 半径、35mm 高度和 8mm 高度的单端口耦合探头。该圆柱形腔传感器具有小尺寸腔体和小样本量的优异谐振特性优势。为了优化和验证传感器的参数,使用 HFSS 和矢量网络分析仪 (VNA) 进行了许多实验。因此,证明了该传感器在谐振频率分离方面对温度变化具有很强的鲁棒性。发现用于区分汽油样品的最小频率分离大于 29MHz,在-35°C 到 0°C 的温度变化下,反射系数低于-11dB。实验和理论结果的一致性也得到了呈现,这保证了传感器对汽油区分的准确性。