A Novel Fiber-Optic Ice Sensor to Identify Ice Types Based on Total Reflection

被引：4

作者：

Zhang, Chi ^{[1
]}

Xiao, Chunhua ^{[2
]}

Li, Shaorong ^{[1
]}

Guo, Xiaowei ^{[1
]}

Wang, Qi ^{[1
]}

He, Yizhou ^{[1
]}

Lv, Huiyan ^{[1
]}

Yan, Hongkai ^{[1
]}

Liu, Dongan ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Optoelect Sci & Engn, Chengdu 610054, Peoples R China

[2] China Aerodynam Res & Dev Ctr, Mianyang 621000, Peoples R China

来源：

SENSORS | 2023年 / 23卷 / 08期

关键词：

ice sensor; fiber optic; icing type; ice thickness; total reflection; REFRACTIVE-INDEX; PERFORMANCE;

D O I：

10.3390/s23083996

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

To address the issues of not accurately identifying ice types and thickness in current fiber-optic ice sensors, in this paper, we design a novel fiber-optic ice sensor based on the reflected light intensity modulation method and total reflection principle. The performance of the fiber-optic ice sensor was simulated by ray tracing. The low-temperature icing tests validated the performance of the fiber-optic ice sensor. It is shown that the ice sensor can detect different ice types and the thickness from 0.5 to 5 mm at temperatures of -5 degrees C, -20 degrees C, and -40 degrees C. The maximum measurement error is 0.283 mm. The proposed ice sensor provides promising applications in aircraft and wind turbine icing detection.

引用

页数：13

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