Adaptive control of cutting temperature for CNC machine tool

In order to overcome the problems of low temperature monitoring accuracy and high control error rate existing in traditional cutting temperature control methods, a new adaptive temperature control method for CNC machine tools is proposed in this paper. In order to improve the adaptive control accuracy of cutting temperature of CNC machine tools, a fuzzy monitor of cutting temperature is designed to realize the real-time monitoring of cutting temperature of CNC machine tools. Based on the real-time monitoring results of cutting temperature of CNC machine tools, Gauss heat source model is used to describe the heat flow distribution of cutting heat source. In two-dimensional space, through the heat source density and boundary conditions, the cutting temperature adaptive control function is constructed to complete the cutting temperature adaptive function of CNC machine tool. The experimental results show that, compared with the traditional control method, this method can accurately monitor the cutting temperature of CNC machine tools, and can accurately carry out the adaptive control of cutting temperature, and the maximum control error rate is less than 3%.