Performance evolution in machining parameter of Al-Ai(LM6) alloy using neural network

n this experiment, the solution is obtained for the cutting machine setup parameters using
CNC turning operation utilizing the theories of artificial neural network. The mapping
between a group of input and output values can be learnt by using artificial neural network.
Once a network is trained, output values can be identified for a given set of input values. All the inputs like cutting speed, feed, depth of cut and oolant fluid rate and their corresponding methodology output like surface finish are included in the program. This technique uses back propagation neural networks to accomplish forward mapping of method inputs and outputs.These networks can then be used interactively to update the foremost effective machine setup parameter. A program has been developed in MATLAB for resolution the model. The result from experiment is valid with neural network.