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/