面向高能效电热除冰的冰结合状态感知方法研究
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1.华中科技大学人工智能与自动化学院武汉430074; 2.中航工业武汉航空仪表有限责任公司武汉430074; 3.多谱信息智能处理技术全国重点实验室武汉430074

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TM934.73TH73

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国家自然科学基金 (62101196)、中国博士后科学基金(2021M691138)项目资助


Research on ice bonding state sensing method for energy-efficient electro-thermal de-icing
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1.School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China; 2.Wuhan Aviation Instrument Co., Ltd, Wuhan 430074, China; 3.National Key Laboratory of Multispectral Information Intelligent Processing Technology, Wuhan 430074, China

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    摘要:

    针对飞机电热除冰过程中冰结合状态的感知难题,提出了基于弛豫极化效应的原位在体探测方法,首先,揭示了相态和分子热运动对冰粘附作用的影响机制,阐明了基于复阻抗测量的4种冰结合状态的检测机理。然后,设计了一种探除冰一体化功能薄膜,并在融冰实验中对界面相态的动态变化过程进行了表征,确定了冰结合状态感知的核心特征,进而建立了覆冰结合状态弱化的判断准则。在预应力脱冰实验中,该准则可有效确定覆冰脱落的时间范围,有望显著提升电热除冰过程中冰结合状态感知的准确率,并为航空器高能效电热除冰提供关键技术支撑。

    Abstract:

    To address the difficulty of sensing the ice bonding state during aircraft electrothermal deicing, an in-situ in-body detection method based on the relaxation polarization effect is proposed. First, the mechanism of the influence of the phase state and molecular thermal motion on the ice adhesion effect is revealed, and the principle of detecting the four ice bonding states based on the complex impedance measurement is elucidated. Then, an integrated functional film for detection and de-icing is designed, and the dynamic change process of the interfacial phase state is characterized in ice melting experiments, which identifies the key features of the ice bonding state sensing, and then establishes the recognition method for the weakening of the ice bonding state. In the pre-stressed de-icing experiment, the method can effectively determine the time range of the ice shedding, which is expected to significantly improve the accuracy of the ice bonding state sensing in the electro-thermal de-icing process and provide key technical support for the energy-efficient electro-thermal de-icing of aircrafts.

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周翼,郭玉东,桂康,葛俊锋,叶林.面向高能效电热除冰的冰结合状态感知方法研究[J].仪器仪表学报,2024,45(12):24-35

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  • 在线发布日期: 2025-03-04
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