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Ice detection and classification on an aircraft wing with ultrasonic shear horizontal guided waves

机译:超声剪切水平导波在飞机机翼上的结冰检测和分类

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Ice accumulation on airfoils has been identified as a primary cause of many accidents in commercial and military aircraft. To improve aviation safety as well as reduce cost and environmental threats related to aircraft icing, sensitive, reliable, and aerodynamically compatible ice detection techniques are in great demand. Ultrasonic guided-wave-based techniques have been proved reliable for "go" and "no go" types of ice detection in some systems including the HALO system, in which the second author of this paper is a primary contributor. In this paper, we propose a new model that takes the ice layer into guided-wave modeling. Using this model, the thickness and type of ice formation can be determined from guided-wave signals. Five experimental schemes are also proposed in this paper based on some unique features identified from the guided- wave dispersion curves. A sample experiment is also presented in this paper, where a 1 mm thick glaze ice on a 2 mm aluminum plate is clearly detected. Quantitative match of the experiment data to theoretical prediction serves as a strong support for future implementation of other testing schemes proposed in this paper.
机译:机翼上的积冰已被认为是造成商用和军用飞机许多事故的主要原因。为了提高航空安全并减少与飞机结冰有关的成本和环境威胁,迫切需要灵敏,可靠且与空气动力学兼容的冰检测技术。事实证明,基于超声波导波的技术在包括HALO系统在内的某些系统中对于“通过”和“不通过”类型的冰检测是可靠的,本文的第二作者是其中的主要贡献者。在本文中,我们提出了一个将冰层纳入导波建模的新模型。使用该模型,可以根据导波信号确定冰层的厚度和类型。基于从导波频散曲线确定的一些独特特征,本文还提出了五种实验方案。本文还提供了一个示例实验,可以清楚地检测到在2毫米铝板上的1毫米厚釉面冰。实验数据与理论预测的定量匹配为本文提出的其他测试方案的未来实施提供了有力的支持。

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