Hybrid modelling for thermal deformation prediction of high speed motorized spindle

Thermal-induced deformation accounts for 40-70% of the total dimensional and shape errors that arise from various sources of machine tools. This paper suggests a hybrid model based on regression-based analysis and computation-based simulation to predict the thermal deformation of high speed motorized spindle. COMSOL Multiphysics was used to obtain the numerical solutions of the thermal deformation, and the PLS algorithm was used to modify the error between the simulation model and the experimental data collected from the spindle test system. The experimental results showed that the proposed hybrid model could predict thermal deformation effectively and accurately, and it can be used for real-time thermal deformation compensation to improve the machining accuracy of NC machine tool.