love波传感器估算冰厚的理论分析与实验研究

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Zheng Zhao , Yining Yin , Fanbing Hu , Xu Gao , Anyu Hu , Wen Wang
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引用次数: 0

摘要

探测冰层厚度对确保飞机飞行安全至关重要。在这项研究中,我们采用了Love波,这是一种非常有前途的冰探测和冰厚度测量技术。首先,利用COMSOL Multiphysics软件分析了传热场和流场共同影响下的分层结冰动态过程,建立了包含接触角参数的有效结冰厚度模型。随后,利用三层介质结构,计算结冰厚度与Love波振幅衰减的关系,建立基于声波衰减效应的Love波结冰厚度响应模型。在此基础上,研制了80mhz Love波传感器进行验证,实验结果与理论计算误差不超过10%。此外,该传感器可以测量1.5 mm厚的冰,分辨率大于0.05 mm,灵敏度约为0.4 dB/0.05 mm。本文提出了一种基于Love波的更精确的冰厚探测理论模型,充分验证了Love波传感器出色的冰厚探测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theoretical analysis and experimental study on ice thickness estimation by love wave sensors
The detection of ice thickness holds paramount importance in ensuring the safety of aircraft flights. In this study, we employed Love wave, a highly promising technique for ice detection and measurement of ice thickness. Initially, we scrutinized the dynamic process of stratified icing under the influence of both the heat transfer and flow fields with software COMSOL Multiphysics and developed an effective model for icing thickness incorporating the parameter of contact angle. Subsequently, leveraging the three-layer medium structure, we calculated the relationship between icing thickness and the amplitude attenuation of Love wave to establish a response model for the ice thickness of Love waves based on the acoustic attenuation effect. Based on this, we developed an 80 MHz Love wave sensor for validation, and the experimental results and theoretical calculations exhibit an error of no more than 10 %. In addition, the sensor can measure ice thickness up to 1.5 mm with a resolution greater than 0.05 mm and a sensitivity of approximately 0.4 dB/0.05 mm. This work presents a more accurate theoretical model for ice thickness detection based on Love waves and thoroughly validates the excellent ice thickness detection capability of the Love wave sensor.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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