DocumentCode :
596746
Title :
Shape monitoring for wing structure using fiber Bragg grating sensors
Author :
Jincong Yi ; Hesheng Zhang ; Xiaoping Qiao ; Xiaojin Zhu
Author_Institution :
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
1032
Lastpage :
1036
Abstract :
To reconstruct the shape of wing structure using fiber Bragg grating sensors, an implementation method was presented in this paper. First, the principle of curvature measurement based upon fiber Bragg grating sensor was introduced, and the design of the layout of sensor´s locations was optimized by the finite element (FE) analysis of the experimental model. Then, the algorithm description of surface reconstruction was given in detail. Finally, an experiment setup was built using an epoxy resin trapezoid plate equipped with distributed FBG sensors, combined with a data acquisition and a shape reconstruction algorithm system. Afterwards, the experiments of steady deformation and dynamic vibration behavior were implemented for the real-time shape reconstruction of wing model structure. The results verify the feasibility and effectiveness of the presented method of deformation shape detection for a sort of wing model structure based on fiber Bragg grating sensor array, and indicate that the proposed method can provide useful research thinking for the further study of active monitoring for aerospace wing structures.
Keywords :
Bragg gratings; aerospace components; condition monitoring; data acquisition; fibre optic sensors; finite element analysis; shape measurement; aerospace wing structure active monitoring; curvature measurement; data acquisition; distributed FBG sensor; epoxy resin trapezoid plate; fiber Bragg grating sensors; finite element analysis; sensor locations; shape monitoring; shape reconstruction algorithm; surface reconstruction; Fiber gratings; Sensor arrays; Shape; Surface reconstruction; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463329
Filename :
6463329
Link To Document :
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