Technical Paper
In Flight Ice Shape Prediction with Data Fit Surrogate Models
2023-06-15
2023-01-1480
Accurate simulation of icing is important for the assessment of several potential icing scenarios and complex icing regulations. However, performing all possible icing scenarios is a demanding process in terms of computational cost, especially when modification of the geometry due to ice accretion is required. Additionally, aircraft icing safety assessment necessitates an evaluation of the accumulated ice. Thus, numerical representation of the non-linear and complex geometries is essential for the parametrization of this ice. Indeed, surrogate models have the capability of predicting these complex, non-linear shapes. For this purpose, a method for ice accretion prediction on a selected airfoil, NACA 22112, is proposed in this study with different surrogate models that will later be used for fast prediction in 6DOF simulations to directly evaluate its effects on aerodynamic performance during flight.
