Abstract

High speed motorized spindle is the key component of CNC machine tools, and the thermal deformation caused by the temperature field inside the motorized spindle has a great impact on the precision machining. This paper proposed a statistical model based on partial least squares to predict the thermal deformation of the high-speed motorized spindle. The temperature and thermal deformation data under different steady-state operating conditions were collected based on the high-speed motorized spindle experimental platform. Part of the data was used to establish the PLS model describing the quantitative relationship between the thermal deformation and the temperature rises at the measuring points. The other part was used to verify the model and to compare it with the least squares model prediction results. The results of principal component analysis and variable importance in projection index analysis showed a strong correlation between measurement temperature points and thermal deformation. Therefore, it can be concluded that the proposed thermal deformation model could predict the three-dimensional thermal deformation, providing a reference for thermal error compensation control scheme.

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