To ensure the stability of precision of the motorized spindle for five-axis machining center, the thermal error of five-axis machining center was investigated, and the temperature rise-thermal deformation model of a thin-wall ring type rotary elastomer was built on the basis of thermo-elastic property. Thus, a model of radial thermal error was con-structed. The relationship between radial error and axial error was also investigated in this paper and the total radial errors were gotten. In addition, the thermal error of the motorized spindle of five-axis machining center was measured by the ball bar in the experiment of thermal error. The motorized spindle total radial error was achieved by this experiment and radial total error analytical model. Finally, a BP neural network algorithm was introduced for thermal error prediction of five-axis machining center, and the precision of prediction of these models was compared and analyzed. The analysis shows that this method is practical and effective.

为保证五轴加工中心电主轴精度的稳定性，研究了五轴加工中心的热误差，在此基础上建立了薄壁环型旋转弹性体的温升-热变形模型。热弹性的基础。因此，构建了径向热误差模型。本文还研究了径向误差与轴向误差之间的关系，得出了总径向误差。另外，在热误差实验中，用球杆测量了五轴加工中心电主轴的热误差。通过该实验和径向总误差分析模型实现了电动主轴总径向误差。最后，引入了BP神经网络算法对五轴加工中心的热误差进行预测，并对模型的预测精度进行了比较和分析。分析表明，该方法是实用有效的。