@article{(Open Science Index):https://publications.waset.org/pdf/5734,
	  title     = {Computational Fluid Dynamics Expert System using Artificial Neural Networks},
	  author    = {Gonzalo Rubio and  Eusebio Valero and  Sven Lanzan},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {3},
	  year      = {2012},
	  pages     = {413 - 417},
	  ee        = {https://publications.waset.org/pdf/5734},
	  url   	= {https://publications.waset.org/vol/63},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 63, 2012},
	}