Journal article Open Access

Icing Conditions Predictions using FBGS

Miguel González del Val; Malte Frovel; Julio Mora Nogués; Paloma García Gallego

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.

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