Force model of high-manganese steel drilling based on artificial neural network

The drilling of hard-to-cut high manganese steel materials is a difficulty in the field of machining. Research method which has been commonly used is experimental method. This method has time-wasting and high-cost disadvantages. In this paper, adopting error back neural network technology and using Matlab and C language programming method, neural network prediction model of drilling force and torque is established based on limited training data. Its comparison with the experimental data, the model prediction error is within 5%. Effective prediction and simulation has been achieved on the force and torque of the high manganese steel drilling.