Paper Details

Hypervelocity is a very complex phenomenon which shows changing damage trends for various impact conditions. For finding out damage caused to bumper plate different techniques like simulations and experimentation are used conventionally. However, the techniques are observed to be time consuming and costly. Eventually developed empirical models overcame these limitations but couldn’t capture the changing trends of hyper velocity phenomenon. In the work presented in the paper, an attempt is made to develop a python script artificial neural network (ANN) model for prediction of damage potential at different hyper velocity impact conditions of varying incidence angle, yaw angle and velocity vector. The developed python script ANN predictions were compared with results obtained by simulations. It is observed that predictions done by ANN are in good agreement with the simulation results.