提出高速高精度电主轴温升预测模型，将有限元模型与试验数据相结合，精确预测不同工况下电主轴的温度场。建立电主轴流场、温度场有限元模型，分析冷却系统及润滑系统参数对电主轴温度场的影响；考虑电主轴运行速度、载荷，设计电主轴损耗测试方法，将测得的电主轴总损耗作为计算电动机、轴承生热依据；考虑冷却系统、润滑系统参数及环境条件对换热系数的影响，采用最小二乘算法，基于电主轴表面温度测试数据，优化电主轴换热系数，并将优化后的换热系数作为有限元模型的边界条件。建立170SD30-SY电主轴温升预测模型，将换热系数优化前后的温度场仿真数据分别与试验数据对比。结果表明，换热系数优化后的温升预测模型预测的精度提高了4.78%，提出的电主轴温升预测模型有较高的预测精度。
A prediction model of a high speed and high precision motorized spindle temperature rise is presented, which combined with the finite element model and test data, in order to accurately predict the temperature field of motorized spindle under different working conditions; The finite element model of the motorized spindle flow field and temperature field is built, and the influence of the cooling system and the lubrication system parameters on the motorized spindle temperature field is analyzed. The motorized spindle loss testing method is designed considering the operation speed and load, the total loss of the motorized spindle is measured as the basis of the motor and bearing heat basis. Considering the influence of the cooling system, lubrication system parameters and environmental conditions on the heat transfer coefficient, based on the test data of surface temperature of motorized spindle, the least square algorithm is applied to optimize the heat transfer coefficient of motorized spindle, and the optimized heat transfer coefficients are used as the boundary condition of the finite element model. A prediction model of temperature rise of 170SD30-SY motorized spindle is established, the temperature field simulation data with the heat transfer coefficient before and after optimization are compared with the test data. The results show that the prediction accuracy of the model is improved by 4.78% after the optimization of the heat transfer coefficient, the prediction model of motorized spindle temperature rise has higher prediction precision.
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