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机床主轴温度场分析是一种减少主轴热误差,提高主轴精度及其稳定性的重要方法。作为热分析边界条件中关键参数的对流换热系数,其值的大小反映了主轴零部件表面与空气对流换热的强度,对主轴有限元温度场分析结果的影响最为明显。深入研究主轴对流换热系数的影响因素,提出一种基于人工蜂群优化算法的机床主轴换热系数优化算法。实验表明,提出的蜂群算法能够根据环境温度和转速而自动寻找优化的主轴换热系数。
Analysis of machine tool spindle temperature field is an important method to reduce the spindle thermal error and improve the accuracy and stability of the spindle. As the convection heat transfer coefficient of the key parameters in the thermal analysis of the boundary conditions, the magnitude of the convection heat transfer reflects the intensity of the convection heat transfer between the surface of the main shaft and the air, and has the most obvious influence on the temperature field of the main shaft. In-depth study of the main factors affecting the convection heat transfer coefficient of the spindle, and proposed an optimization algorithm based on artificial bee colony optimization algorithm for the main shaft heat transfer coefficient. Experiments show that the proposed bee colony algorithm can automatically find the optimum spindle heat transfer coefficient according to the ambient temperature and speed.