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作 者:苟明艺 陈倩[1] 黄卡玛[1] 董鹏昊 GOU Mingyi;CHEN Qian;HUANG Kama;DONG Penghao(School of Electronics and Information Engineering,Sichuan University,Chengdu 610064,China)
出 处:《应用科技》2023年第1期112-117,共6页Applied Science and Technology
基 金:四川省科技计划资助项目(2021YFS0352,2020YFH0100,2021YFH0152)。
摘 要:为准确测量腐蚀性液体的复介电常数并扩展微波能的工业应用,本文提出了一种基于传输/反射法的非接触式斜孔脊波导介电常数测量装置。在2.45 GHz频率和室温条件下测量了甲醇和乙醇及其混合溶液的散射参数,采用人工神经网络算法,以散射参数为输入,反演得到相应溶液的介电常数。测量结果与文献一致,验证了测量的准确性。待测物以试管为容器,避免了液体对测量装置的腐蚀。该系统还可测量固体及固体粉末的常温和高温介电特性,在微波能的工业应用中具有良好的前景。In order to accurately measure the complex permittivity of corrosive liquids and expand the industrial application of microwave energy,a non-contact permittivity measurement device for oblique aperture ridge waveguide based on transmission/reflection method is proposed in this paper.The scattering parameters of methanol,ethanol and their mixed solutions were measured at 2.45 GHz frequency and room temperature.The permittivity of corresponding solutions were obtained by inversion using artificial neural network algorithm,taking the scattering parameter as input.The measurement results are consistent with the references,which verifies accuracy of the measurement.The test tube is used as the container for the object to be tested,which avoids corrosion of the liquid to the measuring device.The system can also measure the dielectric properties of solids and solid powders at room and high temperature,having a good prospect in the industrial application of microwave energy.
关 键 词:脊波导 腐蚀性液体 介电常数 人工神经网络 微波能 高温 散射参数 微波测量
分 类 号:TN98[电子电信—信息与通信工程]
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