Thermal and Mechanical Modeling of Fluid and Heat Flow in a Porous Metal Using Neural Networks for Application as TPS in Space Vehicles

This paper contains novel model using feedback neural networks for a work piece temperature prediction. The heat and mass transfer in a porous metal workpiece which is heated by a fire gun is studied. The heat flux distribution is determined by thermocouple connected on the workpiece at definite distances. The gun work piece distance were also change and the temperature distribution and heat flux were determined. The permeability’s were in range of 0.01 0.15. The ANN model parameters of the result output were simulated using the ANN parameters the simulation was done using MATLAB 6.0 Neural Network Toolbox.