Experimental Method of Temperature and Strain Discrimination in Polymer Composite Material by Embedded Fiber-Optic Sensors Based on Femtosecond-Inscribed FBGs

Experimental method of temperature and strain discrimination with fiber Bragg gratings (FBGs) sensors embedded in carbon fiber-reinforced plastic is proposed. The method is based on two-fiber technique, when two FBGs inscribed in different fibers with different sensitivities to strain and/or tempera...

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Bibliographic Details
Published in:Journal of sensors 2016-01, Vol.2016 (2016), p.1-6
Main Authors: Babin, Sergey A., Shelemba, Ivan S., Fedotov, Mikhail Yu, Simonov, Victor A., Wolf, Alexey A., Dostovalov, Alexandr V., Kharenko, Denis S., Terentyev, Vadim S., Shishkin, Victor V., Shienok, Anton M.
Format: Article
Language:English
Subjects:
Accuracy
Approximation
Calibration
Composite materials
Discrimination
Fibers
Inscriptions
Mathematical analysis
Nonlinearity
Optics
Questioning
Research methodology
Sensor arrays
Sensors
Strain
Temperature
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Summary:Experimental method of temperature and strain discrimination with fiber Bragg gratings (FBGs) sensors embedded in carbon fiber-reinforced plastic is proposed. The method is based on two-fiber technique, when two FBGs inscribed in different fibers with different sensitivities to strain and/or temperature are placed close to each other and act as a single sensing element. The nonlinear polynomial approximation of Bragg wavelength shift as a function of temperature and strain is presented for this method. The FBGs were inscribed with femtosecond laser by point-by-point inscription technique through polymer cladding of the fiber. The comparison of linear and nonlinear approximation accuracies for array of embedded sensors is performed. It is shown that the use of nonlinear approximation gives 1.5–2 times better accuracy. The obtained accuracies of temperature and strain measurements are 2.6–3.8°C and 50–83 με in temperature and strain range of 30–120°C and 0–400 με, respectively.
ISSN:1687-725X
1687-7268
DOI:10.1155/2016/3230968