A Polymer Optical Fiber Temperature Sensor Based on Material Features

作者:Leal Junior Arnaldo; Frizera Neto Anselmo; Marques Carlos; Pontes Maria Jose
来源:Sensors (Switzerland), 2018, 18(1): 301.
DOI:10.3390/s18010301

摘要

This paper presents a polymer optical fiber (POF)-based temperature sensor. The operation principle of the sensor is the variation in the POF mechanical properties with the temperature variation. Such mechanical property variation leads to a variation in the POF output power when a constant stress is applied to the fiber due to the stress-optical effect. The fiber mechanical properties are characterized through a dynamic mechanical analysis, and the output power variation with different temperatures is measured. The stress is applied to the fiber by means of a 180 degrees curvature, and supports are positioned on the fiber to inhibit the variation in its curvature with the temperature variation. Results show that the sensor proposed has a sensitivity of 1.04 x 10(-3) degrees C-1, a linearity of 0.994, and a root mean squared error of 1.48 degrees C, which indicates a relative error of below 2%, which is lower than the ones obtained for intensity-variation-based temperature sensors. Furthermore, the sensor is able to operate at temperatures up to 110 degrees C, which is higher than the ones obtained for similar POF sensors in the literature.

  • 出版日期2018-1