精密镗床进给轴差异化主动冷却方法

赵亮; 王孟超; 雷默涵; 任宏迪; 张鑫; 杨军; 梅雪松

doi:10.7652/xjtuxb202202010

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精密镗床进给轴差异化主动冷却方法

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- 精密镗床进给轴差异化主动冷却方法
- A Differentiated Active Cooling Strategy for Feed Axis of Precision Boring Machine
- 西安交通大学学报 2022年56卷第2期页码：91-100
- 作者机构：
  
  西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2021-07-05。作者简介: 赵亮(1988—),男,博士生;杨军(通信作者),男,副教授。基金项目: 陕西省科技重大专项资助项目(S2020-ZDZX-ZNZC-0002);陕西省自然科学基础研究计划资助项目(2021JQ-475);中国博士后科学基金面上资助项目(2019M660251)
- DOI：10.7652/xjtuxb202202010
  中图分类号： TH113
- 网络首发：2022-02-10，
  
  纸质出版：2022
- 稿件说明：
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赵亮, 王孟超, 雷默涵, 等. 精密镗床进给轴差异化主动冷却方法[J]. 西安交通大学学报, 2022,56(2):91-100.

A Differentiated Active Cooling Strategy for Feed Axis of Precision Boring Machine[J]. 2022, 56(2): 91-100.
赵亮, 王孟超, 雷默涵, 等. 精密镗床进给轴差异化主动冷却方法[J]. 西安交通大学学报, 2022,56(2):91-100. DOI： 10.7652/xjtuxb202202010.

A Differentiated Active Cooling Strategy for Feed Axis of Precision Boring Machine[J]. 2022, 56(2): 91-100. DOI： 10.7652/xjtuxb202202010.

摘要

针对精密镗床双驱丝杠进给轴连续运行时发热严重导致热误差较大的问题

提出了进给轴热源的差异化主动冷却方法。首先

确定了进给轴主要热源部位为轴承、电机和丝杠螺母副

分析了进给轴热源生热和散热机理

确定了关键边界条件

建立起主动冷却下的热流固耦合仿真模型; 然后

设计了内置流道的冷却板并安装于热源处

每一冷却板分别设置冷却回路并通入4号主轴油作为冷却剂

每一冷却回路单独配置油箱进行独立调温; 最后

建立了进给轴的轴承、电机及丝杠螺母等热源生热模型

精确匹配各热源生热率来控制冷却系统中进出口冷却液的温度

从而差异化地带走不同热源处所产生的热量以控制各部位温度

减小热误差。实验结果表明:与进给轴无冷却时对比

采用差异化主动冷却方法

最大热误差下降了58.56%以上; 与恒温冷却方法相比

最大热误差下降了34.55%; 同时缩短了热误差的稳定时间

表明该进给轴主动冷却方法能有效减小进给轴热误差。

Abstract

A differentiated active cooling method for the heat source of the feed axis is proposed to solve the problem of serious heat generation during continuous operation of the double-drive screw feed axis of a precision boring machine

which results in a large thermal error. Firstly

the main heat source parts of the feed shaft are determined to be bearings

motors

and screw nut pairs. The heat generation and heat dissipation mechanisms of the feed shaft heat sources are analyzed. The key boundary conditions are determined

and a thermo-fluid-structure coupling simulation model under active cooling is established. Then

cooling plates with built-in runner are designed and installed at the heat sources

and each cooling plate is respectively provided with a cooling circuit and through the No.4 spindle oil as the coolant. Each cooling circuit is equipped with a separate oil tank for independent temperature adjustment. Finally

heat generation models of heat source for the bearing

motor and screw nut of the feed shaft are established to accurately match the heat generation rate of each heat source to control the temperature of the inlet and outlet coolant in the cooling system

so as to differentially take away the heat generated by the different heat sources to control the temperature of each part and reduce the thermal error. Experimental results show that when the differential active cooling method is used

the maximum thermal errors decrease by more than 58.56% and 34.55%

respectively

compared with the feed axis without cooling and the constant temperature cooling method. At the same time

the stabilization time of thermal error is shortened. These results indicate that the active cooling method of the feed axis can effectively reduce the thermal error of the feed axis.

关键词

Keywords

references

RAMESH R, MANNAN M A, POO A N. Error compensation in machine tools: a review: part II thermal errors [J]. International Journal of Machine Tools and Manufacture, 2000, 40(9): 1257-1284.

YANG Jun, SHI Hu, FENG Bin, et al. Thermal error modeling and compensation for a high-speed motorized spindle [J]. The International Journal of Advanced Manufacturing Technology, 2015, 77(5): 1005-1017.

LI Rong, LIN Wei, ZHANG Juyong, et al. Research on thermal deformation of feed system for high-speed vertical machining center [J]. Procedia Computer Science, 2018, 131: 469-476.

LIU Jialan, MA Chi, WANG Shilong, et al. Thermal-structure interaction characteristics of a high-speed spindle-bearing system [J]. International Journal of Machine Tools and Manufacture, 2019, 137: 42-57.

MA Chi, LIU Jialan, WANG Shilong. Thermal error compensation of linear axis with fixed-fixed installation [J]. International Journal of Mechanical Sciences, 2020, 175: 105531.

SHI Hu, MA Chi, YANG Jun, 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.

BLOEM A, SCHENCK C, KUHFUSS B. Dynamic behavior of ultra precision feed axis at increased velocities [J]. Procedia CIRP, 2016, 46: 456-459.

ZHANG Jun, ZHANG Huijie, DU Chao, et al. Research on the dynamics of ball screw feed system with high acceleration [J]. International Journal of Machine Tools and Manufacture, 2016, 111: 9-16.

MIN X, JIANG S. A thermal model of a ball screw feed drive system for a machine tool [J]. Proceedings of the Institution of Mechanical Engineers: Part C Journal of Mechanical Engineering Science, 2011, 225(1): 186-193.

王大伟, 刘永红, 张龙, 等. 基于有限元法的滚珠丝杠传动过程中的温度场和热变形仿真 [J]. 计算机辅助工程, 2009, 18(2): 29-33.

WANG Dawei, LIU Yonghong, ZHANG Long, et al. Temperature field and thermal distortion simulation in feeding process of ball screw based on finite element method [J]. Computer Aided Engineering, 2009, 18(2): 29-33.

KIM J J, JEONG Y H, CHO D W. Thermal behavior of a machine tool equipped with linear motors [J]. International Journal of Machine Tools and Manufacture, 2004, 44(7/8): 749-758.

XU Z Z, LIU X J, KIM H K, et al. Thermal error forecast and performance evaluation for an air-cooling ball screw system [J]. International Journal of Machine Tools and Manufacture, 2011, 51(7/8): 605-611.

QIAO Guan, LIU Geng, MA Shangjun, et al. Thermal characteristics analysis and experimental study of the planetary roller screw mechanism [J]. Applied Thermal Engineering, 2019, 149: 1345-1358.

LIU Jialan, MA Chi, WANG Shilong. Data-driven thermally-induced error compensation method of high-speed and precision five-axis machine tools [J]. Mechanical Systems and Signal Processing, 2020, 138: 106538.

马驰, 杨军, 梅雪松, 等. 基于分形理论及蒙特卡罗法的电主轴热特性分析 [J]. 上海交通大学学报, 2015, 49(9): 1324-1331.

MA Chi, YANG Jun, MEI Xuesong, et al. Simulation of thermal behaviors of motorized spindle based on fractal theory and Monte Carlo method [J]. Journal of Shanghai Jiao Tong University, 2015, 49(9): 1324-1331.

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, 1188.

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, 1188.

LEI Mohan, YANG Jun, WANG Shuai, et al. Semi-supervised modeling and compensation for the thermal error of precision feed axes [J]. The International Journal of Advanced Manufacturing Technology, 2019, 104(9): 4629-4640.

LI Huimin, ZHANG Peng, DENG Ming, et al. Thermally induced comprehensive error modeling and compensation for gantry machine tools with grating scale in large structure machining [J]. The International Journal of Advanced Manufacturing Technology, 2020, 107(3): 1367-1376.

SHI Hu, HE Bin, YUE Yinyun, et al. Cooling effect and temperature regulation of oil cooling system for ball screw feed drive system of precision machine tool [J]. Applied Thermal Engineering, 2019, 161: 114150.

VOIGT I, NAVARRO DE SOSA I, WERMKE B, et al. Increased thermal inertia of ball screws by using phase change materials [J]. Applied Thermal Engineering, 2019, 155: 297-304.

GE Zeji, DING Xiaohong. 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.

LIU Teng, GAO Weiguo, TIAN Yanling, et al. Power matching based dissipation strategy onto spindle heat generations [J]. Applied Thermal Engineering, 2017, 113: 499-507.

PALMGREN A. Ball and roller bearing engineering [M]. Philadelphia: SKF Industries, Inc., 1945.

杨军, 施虎, 梅雪松, 等. 双驱伺服进给系统热误差的试验测量与预测模型构建 [J]. 西安交通大学学报, 2013, 47(11): 53-59.

YANG Jun, SHI Hu, MEI Xuesong, et al. Measurement and modeling of thermal errors in dual-drive servo feed system [J]. Journal of Xi'an Jiaotong University, 2013, 47(11): 53-59.

王新孟, 杨军, 梅雪松, 等. 精密坐标镗床进给系统热误差分析与预测 [J]. 西安交通大学学报, 2015, 49(10): 22-28.

WANG Xinmeng, YANG Jun, MEI Xuesong, et al. Analysis and prediction for thermal error of precision coordinate boring machine [J]. Journal of Xi'an Jiaotong University, 2015, 49(10): 22-28.

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