Experimental Study and Genetic Algorithm-based Optimization of Cutting Parameters in Drilling High Manganese Steel

In this study, the genetic algorithm is used to find the optimal cutting parameters for surface greatest productivity in drilling. In order to overcome shortcoming that the traditional welding stationary type drill bit is not easy to be replaced and has poor manufacturability, the machinery clamped type cemented carbide multiface drill has been developed. The cutting parameter optimization result based on the greatest productivity is given using the genetic algorithm, and the experimental study of drilling the high-manganese steel has been carried on using this result. The conclusion that the design of clamped type cutting tool is feasible has been obtained, Cutting force and torque have decreased corresponding and efficiency has been enhanced in the processing.