In order to solve the problem of thermal errors in the spindle system of high precision computer numerical control (CNC) machine tools, a novel active control method for spindle thermal deformation was proposed. Besides, a helical coil cooler was designed, the influence of silicone grease thickness on the contact thermal resistance between a spindle and a cooler was analyzed, and a thermal resistance model was established. Based on the simplified spindle system, a thermal-fluid-solid finite element model was constructed, and the cooling parameters were simulated. The finite element model was verified by using a temperature control system. The results show that the finite element model can effectively predict the variation of thermal characteristics of the spindle system. The cooler has a high heat exchange efficiency, the thermal equilibration time is reduced by 68%, and the thermal error is reduced by 19%. This study provides a new idea for thermal error control of precision machine tool spindle.
ZHAO Liang,LEI Mohan,ZHU Xingxing,WANG Shuai,LING Zheng,YANG Jun,MEI Xuesong
. A New Thermal Error Control Method for Spindle System of
High Precision Computer Numerical Control Machine Tools[J]. Journal of Shanghai Jiaotong University, 2020
, 54(11)
: 1165
-1171
.
DOI: 10.16183/j.cnki.jsjtu.2019.031
［1］MAYR J, JEDRZEJEWSKI J, UHLMANN E, et al. Thermal issues in machine tools［J］. CIRP Annals, 2012, 61(2): 771-791.
［2］SHI H, MA C, YANG J, et al. Investigation into effect of thermal expansion on thermally induced error of ball screw feed drive system of precision machine tools［J］. International Journal of Machine Tools and Manufacture, 2015, 97: 60-71.
［3］LI Y, ZHAO W, LAN S, et al. A review on spindle thermal error compensation in machine tools［J］. International Journal of Machine Tools and Manufacture, 2015, 95: 20-38.
［4］LIU K, SUN M, ZHU T, et al. Modeling and compensation for spindle’s radial thermal drift error on a vertical machining center［J］. International Journal of Machine Tools and Manufacture, 2016, 105: 58-67.
［5］LIU H, MIAO E M, WEI X Y, et al. Robust mo-deling method for thermal error of CNC machine tools based on ridge regression algorithm［J］. International Journal of Machine Tools and Manufacture, 2017, 113: 35-48.
［6］GE Z, DING X. Design of thermal error control system for high-speed motorized spindle based on thermal contraction of CFRP［J］. International Journal of Machine Tools and Manufacture, 2018, 125: 99-111.
［7］XIA C, FU J, LAI J, et al. Conjugate heat transfer in fractal tree-like channels network heat sink for high-speed motorized spindle cooling［J］. Applied Thermal Engineering, 2015, 90: 1032-1042.
［8］LIU T, GAO W, TIAN Y, et al. A differentiated multi-loops bath recirculation system for precision machine tools［J］. Applied Thermal Engineering, 2015, 76: 54-63.
［9］LIU T, GAO W, TIAN Y, et al. Power matching based dissipation strategy onto spindle heat generations［J］. Applied Thermal Engineering, 2017, 113: 499-507.
［10］ZHANG Y, LIU T, GAO W, et al. Active coolant strategy for thermal balance control of motorized spindle unit［J］. Applied Thermal Engineering, 2018, 134: 460-468.
［11］GRAMA S N, MATHUR A, BADHE A N. A mo-del-based cooling strategy for motorized spindle to reduce thermal errors［J］. International Journal of Machine Tools and Manufacture, 2018, 132: 3-16.
［12］MA C, YANG J, ZHAO L, et al. Simulation and experimental study on the thermally induced deformations of high-speed spindle system［J］. Applied Thermal Engineering, 2015, 86: 251-268.
［13］JAYAKUMAR J S, MAHAJANI S M, MANDAL J C, et al. CFD analysis of single-phase flows inside helically coiled tubes［J］. Computers & Chemical Engineering, 2010, 34(4): 430-446.
［14］INCROPERA F P, LAVINE A S, BERGMAN T L, et al. Fundamentals of heat and mass transfer［M］. 6th ed. Hoboken, USA: Wiley, 2007.
［15］PRASHER R S, SHIPLEY J, PRSTIC S, et al. Thermal resistance of particle laden polymeric thermal interface materials［C］∥International Mechanical Engineering Congress and Exposition. Washington D.C., USA: ASME, 2003: 431-439.
［16］袁超.热界面材料热阻模型和导热强化研究［D］. 武汉: 华中科技大学, 2017.
YUAN Chao. Thermal resistance model and conductivity enhancement of thermal interface materials［D］. Wuhan: Huazhong University of Science and Technology, 2017.
［17］YANG J, MEI X, FENG B, et al. Experiments and simulation of thermal behaviors of the dual-drive servo feed system［J］. Chinese Journal of Mechanical Engineering, 2015, 28(1): 76-87.
［18］SU H, LU L, LIANG Y, et al. Thermal analysis of the hydrostatic spindle system by the finite volume element method［J］. The International Journal of Advanced Manufacturing Technology, 2014, 71(9): 1949-1959.
［19］LIU T, GAO W, ZHANG D, et al. Analytical mo-deling for thermal errors of motorized spindle unit［J］. International Journal of Machine Tools and Ma-nufacture, 2017, 112: 53-70.
［20］杨军, 梅雪松, 赵亮, 等. 基于模糊聚类测点优化与向量机的坐标镗床热误差建模［J］. 上海交通大学学报, 2014, 48(8): 1175-1182.
YANG Jun, MEI Xuesong, ZHAO Liang, et al. Thermal error modeling of a coordinate boring machine based on fuzzy clustering and SVM［J］. Journal of Shanghai Jiao Tong University, 2014, 48(8): 1175-1182.
［21］赵海涛, 冯伟, 周海, 等. 基于热误差敏感度图的温度关键点选择方法［J］. 上海交通大学学报, 2015, 49(5): 725-729.
ZHAO Haitao, FENG Wei, ZHOU Hai, et al. Method for selection of temperature key points based on thermal error sensitivity images and genetic optimization［J］. Journal of Shanghai Jiao Tong Univer-sity, 2015, 49(5): 725-729.
