On the application of surrogate regression models for aerodynamic coefficient prediction

Abstract Computational fluid dynamics (CFD) simulations are nowadays been intensively used in aeronautical industries to analyse the aerodynamic performance of different aircraft configurations within a design process. These allow reduce time and cost compared wind tunnel experiments or flight tests. However, for complex configurations, CFD may still take several hours using high-performance computers deliver results. For this reason, surrogate models currently starting be considered as substitute tool with reasonable prediction. This paper presents review on regression coefficient prediction, particular prediction lift drag coefficients. To compare behaviour models, three have used, NACA0012 airfoil, RAE2822 airfoil 3D DPW wing. databases also freely provided scientific community other researchers make further comparison methods.