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arXiv 2610.06860physics.ins-detcond-mat.mtrl-sci

覆冰监测用厚度剪切声波

Icing monitoring with thickness shear acoustic waves

Jaime del Moral, Miguel González del Val, Víctor Rico, Juan R. Sánchez-Valencia, Julio Mora, Paloma García Gallego, Francisco Carreño, Andreas Winkler, Agustín … 展开作者

Jaime del Moral, Miguel González del Val, Víctor Rico, Juan R. Sánchez-Valencia, Julio Mora, Paloma García Gallego, Francisco Carreño, Andreas Winkler, Agustín R. González-Elipe, Ana Borrás, Stefan Jacob

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中文总结 AI 辅助

针对传统声波冰传感选择性差、饱和快等问题,本文提出基于厚度剪切模式体声波(TSM AWs)的覆冰监测平台,通过反射系数演变实现定性与定量冰检测,并辅以有限元模拟验证,为新型轻量高灵敏冰传感器奠定基础。

中文摘要 AI 辅助

覆冰监测和冰检测是许多行业中的关键挑战,在这些行业中,冰的形成会严重降低性能或危及安全。传统的冰传感方法,例如基于表面声波(SAWs)的方法,通常存在选择性有限、饱和速度快以及恢复缓慢或耗能的问题。在这项工作中,我们提出使用厚度剪切模式体声波(TSM AWs)作为一种选择性强且稳健的替代方案,用于监测覆冰现象,范围从冻结的静态液滴到航空包线内近真实场景中的积冰。传感平台由一块通过横向场激励电极激活的LiNbO3板组成,并由矢量或标量网络分析仪进行电子驱动。该系统能够可靠地检测冻结条件和温度变化。跟踪反射系数幅值的演变,特别是强剪切主导模式的|S11|最小值的谐振峰、形状和频率,为表征和提取覆冰过程的定性和定量信息提供了一种可靠的方法。有限元模拟进一步阐明了控制覆冰监测能力的物理机制。这些结果使TSM AW器件有望成为新一代简单、轻量、高灵敏度且稳健的声波覆冰传感器的候选者。

英文摘要

Icing monitoring and ice detection are critical challenges across many industries where ice formation can severely degrade performance or compromise safety. Conventional ice sensing approaches, such as those based on surface acoustic waves (SAWs), often suffer from limited selectivity, fast saturation, and slow or energy-consuming recovery. In this work, we propose the use of thickness shear mode bulk acoustic waves (TSM AWs) as a selective and robust alternative for monitoring icing phenomena, ranging from frozen sessile droplets to ice accretion in near-real scenarios within aeronautical envelopes. The sensing platform consists of a LiNbO3 plate activated through lateral field excitation electrodes and driven electronically by a Vector or Scalar Network Analyzer. This system reliably detects both freezing conditions and temperature variations. Tracking the evolution of the magnitude of the reflection coefficient, specifically, the resonance peak and shape and frequency of|S11| minimum, of a strongly shear dominant mode provides a reliable means to characterize and extract both qualitative and quantitative information about icing processes. Finite element simulations further elucidate the physical mechanisms governing the ice monitoring capabilities. These results position TSM AW devices as promising candidates for a new generation of simple, light-weight, highly sensitive, and robust acoustic wave icing sensors.

发表机构

  • Nanotechnology on Surfaces and Plasma Lab, Materials Science Institute of Seville, CSIC – US(塞维利亚材料科学研究所,西班牙高等科学研究理事会-塞维利亚大学)
  • National Institute for Aerospace Technology (INTA)(国家航空航天技术研究所)
  • IFW Dresden, SAWLab Saxony(德累斯顿铁电研究院)
  • Acoustics and Mechanics, German National Metrology Institute (PTB)(德国国家计量院)
  • TU Braunschweig, Institute for Acoustics and Dynamics(不伦瑞克工业大学)

机构由 AI 辅助整理,请以论文原文为准。

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