Thermal performance analysis and experimental study of high-speed motorized spindle based on the gradient descent method

Case Studies in Thermal Engineering

Gang Wang¹  Xiaoyang Yu²  Zhaolong Li³  Ye Dai³  Jianhui Wang³  Yujie Sun⁴  Xiangming Yin⁵ 

[1] Corresponding author.;Institute of Digital Design and Automatic Machinery Product Development, Harbin University of Science and Technology, Harbin, 150080, China;Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin, 150080, China;Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, 150080, China;Ningbo Tiankong Five-Axis CNC Technology Co., Ltd., Yuyao, 315400, China;

关键词: High-speed motorized spindle;    Cooling system;    Gradient descent method;    Temperature field;   

DOI  :  

来源: DOAJ

【 摘 要 】

The high-speed motorized spindle is the core component of high-speed and high-precision machining, and its compact structure leads to internal heat accumulation and thermal deformation. Therefore, it is of great significance to control the temperature rise of the motorized spindle. In order to effectively control the temperature rise of the motorized spindle, a new spiral cooling system is used to analyze the internal heat transfer mechanism of the high-speed motorized spindle, and the heat transfer coefficients of the spiral cooling system and the motorized spindle system are optimized based on the gradient descent method combined with experimental data. The optimized heat transfer coefficient is taken as the boundary condition of the finite element model, and the temperature field prediction model is established to analyze the influence of the spiral cooling system on the temperature field of the motorized spindle. Through experiments, the cooling capacity of the spiral cooling system is verified, and the optimized temperature field simulation data are compared with the experimental data to verify the feasibility of the gradient descent method in constructing the temperature field prediction model of the motorized spindle. It provides a basis for the intelligent control of the thermal performance of the motorized spindle.

【 授权许可】

Unknown