The Research for Experiment and Elman Neural Network Model of High Manganese Steel Drilling Power

As a difficult processing material, the drilling of the high manganese steel has been a difficulty among the mechanical processing industry, because its plastic deformation is great and produces the serious hardening phenomenon in the course of processing. During the process of drilling the high manganese steel, great cutting force will be produced, so the great power of the lathe can be consumed. This paper, through improving with the geometric parameter of the cemented carbide bit, the goal of improving the drilling power has been achieved. The improvement has been done on the rake angle of main cutting edge, outer fringe cusp and chisel edge. Meanwhile, Elman neural network model of drilling power based on experimental data is obtained. Effective prediction and simulation has been achieved on the power of the high manganese steel drilling.