Machining Performance Evaluation of Al 6061 T6 Using Abrasive Water Jet Process

The selection of different machining parameters of AWJM is directly related to the experience of the operator because it has a versatile operating range. In this paper, the optimal parameters of AWJM are determined by the grey-fuzzy logic based optimization technique to enhance the material removal rate and surface roughness of aluminum alloy Al 6061 T6. This investigation is formulated by using Taguchi method, the water pressure (WP), abrasive flow rate (AFR) and standoff distance (SOD) taking into account as the process parameters. The response value and input parameter for different machining process are determined by the artificial neural network using forward and reverse modeling technique, respectively. This modeling technique is very productive to determine the machining response value simultaneously process parameter setting in minimum time and with less effort otherwise experimentally trial and error method has to be used for determining it.