Research on thermal error measuring point optimization and modeling of machine tool spindle

In the CNC machining process, a main factor affecting the machining accuracy is thermal error. The optimization of spindle thermal error temperature measurement point is of great significance to establish the thermal error model of the machine tool spindle and improve the accuracy of the model. The temperature field of a vertical machining center and the thermal deformation of the machine tool spindle is obtained through experiments. According to the measured data, the temperature measurement points are grouped and optimized based on the method of fuzzy clustering and grey theory. The thermal error compensation model is established by using multiple linear regression. The verification shows that this method can effectively reduce the number of temperature measurement points. The thermal error compensation model with high precision is established, and the compensation rate is 91.3%, which is of great practical significance to improve the accuracy of the machine tool.