Icing Conditions Predictions using FBGS

The icing is an hazard which importance for the aerospace industry is growing in the 2 last few years. Developing sensors that can detect the existence of Supercooled Large Droplets 3 (SLD) conditions is one of the most important aims in order to minimize the icing hazards. In the 4 present paper a study of the Fiber Bragg Grating Sensors performance as an Flight Icing Detection 5 System that predicts the conditions of an icing cloud is done. The test matrix has been performed 6 in the INTA Icing Wind Tunnel with several conditions. An optic fiber has been integrated in the 7 lower and upper surface of an airfoil for measuring the temperature allover the chord. The results 8 have been compared with a Messinger heat and mass balance model and the results are used for 9 predicting the LiquidWater Content and Ice Accretion Rate. Finally, the results are evaluated and a 10 sensor assessment is made. A good correlation has been observed between theoretical calculations 11 and test results obtained in the IWT