Optimization of CNC Milling Parameters Using “Artificial Neural Network”

In this paper, optimization procedures based on the Neural Network are developed for the optimization of machining parameters for milling operation (i.e. Speed and feed rate). This paper describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. An example has been presented at the end of the paper to give a clear picture from the application of the system and its efficiency. The results are compared and analyzed using the method of feasible directions and handbook recommendations.