On Heat Transfer in case of a Viscous Flow
over a Plane Wall with Periodic Suction by
Artificial Neural Network

U. K. Tripathy; S. M. Patel

doi:https://doi.org/10.14445/22315373/IJMTT-V44P519

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 44 | Number 2 | Year 2017 | Article Id. IJMTT-V44P519 | DOI : https://doi.org/10.14445/22315373/IJMTT-V44P519

On Heat Transfer in case of a Viscous Flow over a Plane Wall with Periodic Suction by Artificial Neural Network

U. K. Tripathy, S. M. Patel

Abstract

This paper shows that the problem of heat transfer in case of a viscous flow over a plane wall with periodic suction has been studied taking into account the effect of viscous dissipative terms. The solution of the equation of heat balance has been obtained approximately by perturbation method choosing ε, the amplitude of the periodic suction velocity to be perturbation parameter and the artificial neural networks method. The effect of the Prandtl number , Eckert number and Reynold’s number on the correction factor (F) to the rate of heat transfer from the wall has been compared for the both type of solutions. The effect of the parameters on F are exactly same as the numerical calculation of which is the correction to the quasi two-dimensional rate of heat transfer (Nusselt number ) from the wall. The results obtain by artificial neural network (ANN) gives a better approximation then that of the numerical technique and the most important part of this paper is ANN technique can easily be handle with a large number of data in a short time. Hence the ANN model which provides an exact, quick and reliable result than the conventional time consuming numerical method.

Keywords

artificial neural network, back-error propagation, correction to the quasi two-dimensional rate of heat transfer.

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Citation :

U. K. Tripathy, S. M. Patel, "On Heat Transfer in case of a Viscous Flow over a Plane Wall with Periodic Suction by Artificial Neural Network," International Journal of Mathematics Trends and Technology (IJMTT), vol. 44, no. 2, pp. 94-99, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V44P519