Conjugate Heat Transfer in Porous Cavity: ANN approach

Artificial neural network is a technique to predict the outcome of a function depending on various input parameters that could be either or geometric variables. This technique is widely used in many fields to predict an outcome. The current article discusses the usage of artificial neural network to predict conjugate heat transfer behaviour inside the porous cavity. The artificial neural network is run with neurons placed in multiple layers. The heat transfer inside the porous cavity is predicted in terms of Nusselt number which shows the convective heat transfer in relation to its conduction counterpart. The heat transfer prediction is compared with the results obtained by finite element method. (paper)