Application of Artificial Neural Networks in Abrasive Water Jet Milling

In the present study, Artificial Neural Networks (ANN) is used to predict the geometrical characteristics of a micro-channel fabricated through Abrasive Water Jet Machining (AWJM) technique. The process parameters considered are abrasive size, traverse speed, abrasive flow rate and standoff distance respectively. The quality of the micro-channel can be assessed in terms of its width, depth, taper and surface roughness. The optimum values of the process parameters are used to predict the response parameters. The impact force of the abrasive water jet and the jet vibrations are considered as additional input to the process parameters. The ANN predicted values are 99% in agreement with the experimental results.