Theoretical investigations of temperature compensation of the results of the diagnosis of polymer composites by the method of two optical fiber

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The paper considers the advantages and disadvantages of existing methods for temperature compensation of data from fiber-optic sensors based on fiber Bragg gratings as part of an embedded system for simultaneous testing of deformation and temperature of polymer composite materials. It is shown that when external temperature testing is impossible, it is most expedient to implement the method of two optical fibers with different sensitivity to at least one of these parameters due to different dopants. Technological issues related to the formation of a spatial topology and the provision of an effective interrogation of the embedded optical system for monitoring polymer composite materials by the two-fiber method are considered. The results of theoretical researches of a linear model of temperature compensation, a model that takes into account the influence of cross sensitivity, as well as a quadratic model of temperature compensation of optical testing data are presented. It has been established that the linear model is the simplest, however, when using it, one should take into account the error associated with the inaccuracy of the approximation of optical inspection data by a linear function. At the same time, it is shown that in order to improve the quality and reliability of the results of optical testing, it is advisable to use a quadratic model of temperature compensation, which provides an error level comparable to the error of the fiber-optic sensor interrogator. The results obtained can be used to develop methods for the simultaneous testing of samples, as well as monolithic and three-layer structures from structural layered of polymer composite materials with limiting molding conditions (temperature not more than 180 °C, specific pressure not more than 0,7 MPa), as in the process of bench and other tests, and, in the future, in real operating conditions.

作者简介

M. Fedotov

Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences;All-Russian public organization �Russian Academy of Engineering�

Email: fedotovmyu@gmail.com
Novosibirsk, Russia

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