RT Journal Article SR 00 A1 Rubio Calzado, Gonzalo A1 Valero Sánchez, Eusebio A1 Lanzan, Sven T1 Computational Fluid Dynamics Expert System using Artificial Neural Networks JF International Journal of Engineering and Applied Sciences YR 2012 FD 2012 VO 6 SP 40 OP 44 K1 Artificial Neural Network, Computational Fluid Dynamics, Optimization AB The design of a modern aircraft is based on three pillars: theoretical results, experimental test and computational simulations. As a results of this, Computational Fluid Dynamic (CFD) solvers are widely used in the aeronautical field. These solvers require the correct selection of many parameters in order to obtain successful results. Besides, the computational time spent in the simulation depends on the proper choice of these parameters. In this paper we create an expert system capable of making an accurate prediction of the number of iterations and time required for the convergence of a computational fluid dynamic (CFD) solver. Artificial neural network (ANN) has been used to design the expert system. It is shown that the developed expert system is capable of making an accurate prediction the number of iterations and time required for the convergence of a CFD solver. SN 2010-3999 LK https://oa.upm.es/16286/