| 光谱学与光谱分析 |
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| The Research on Optic Fiber FBG Corrosion Sensor Based on the Analysis of the Spectral Characteristics |
| ZHANG Jun1, ZENG Jie1*, WANG Bo2, WANG Wen-juan3, LIANG Da-kai1, LIU Xiao-ying1 |
1. State Key Laboratory of Mechanics and Control of Mechanical Structures，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China
2. China Academy of Space Technology，Beijing Spacecrafts，Beijing 100190，China
3. Changcheng Institute of Metrology & Measurement of AVIC，Science and Technology on Metrology and Calibration Laboratory，Beijing 100095，China |
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Abstract Aiming at meeting the need of aluminum corrosion monitoring in aerospace field，a pre-load type fiber grating corrosion sensor based on an aluminum thin tube structure is proposed. The corrosion sensor of aluminum alloy structure in-service monitoring mechanism is studied, a theoretical model about the relation of FBG reflection spectral chasacteristics and aluminum thickness variation is also obtained. Optical fiber grating corrosion monitoring test system based on the capillary structure of aluminum alloy is constructed by acid-base environment. The problem of cross sensitivity of temperature and strain is solved. by configuring an optical fiber grating which is not affected by strain and only sensitive to temperature inside the aluminum alloy tube. The results shows that he aluminum tube packaging design not only can sense the effects of corrosion on the mechanical properties, but also can interference shielding effect of corrosion on the tube optical fiber sensing device. With the deepening of the metal tube corrosion and aluminum alloy tube thickness gradually thinning, fiber grating reflective spectrum gradually shift to the short wavelength and the wall thickness and the grating center wavelength offset has a good monotonic relation. These characteristics can provide useful help to further research corrosion online monitoring based on optic fiber sensor.
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Received: 2014-10-31
Accepted: 2015-02-11
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Corresponding Authors:
ZENG Jie
E-mail: zj2007@nuaa.edu.cn
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