车床主轴与进给轴耦合热误差建模及补偿研究

孙志超; 陶涛; 黄晓勇; 梅雪松; 王新孟; 杨军; 赵亮

doi:10.7652/xjtuxb201507018

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车床主轴与进给轴耦合热误差建模及补偿研究

更新时间：2025-07-09

- 车床主轴与进给轴耦合热误差建模及补偿研究
- Modeling and Compensation of Coupled Thermal Error of Spindle and Feed Shafts
- 西安交通大学学报 2015年49卷第7期页码：105-112
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
  
  : 2014-11-15。作者简介: 孙志超(1989—),男,硕士生;杨军(通信作者),男,讲师。基金项目: 国家高技术研究发展计划资助项目(2012AA040701)
- DOI：10.7652/xjtuxb201507018
  中图分类号： TH161;TG532
- 网络首发：2015-07-10，
  
  纸质出版：2015
- 稿件说明：
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孙志超, 陶涛, 黄晓勇, 等. 车床主轴与进给轴耦合热误差建模及补偿研究[J]. 西安交通大学学报, 2015,49(7):105-112.

Modeling and Compensation of Coupled Thermal Error of Spindle and Feed Shafts[J]. 2015, 49(7): 105-112.
孙志超, 陶涛, 黄晓勇, 等. 车床主轴与进给轴耦合热误差建模及补偿研究[J]. 西安交通大学学报, 2015,49(7):105-112. DOI： 10.7652/xjtuxb201507018.

Modeling and Compensation of Coupled Thermal Error of Spindle and Feed Shafts[J]. 2015, 49(7): 105-112. DOI： 10.7652/xjtuxb201507018.

摘要

针对车床实际加工中主轴与进给轴的热误差相互耦合共同影响工件精度的问题

建立了综合热误差模型并进行了有效补偿。以海德曼HTC500/500精密车床为研究对象

对车床主轴与进给轴热误差的耦合关系进行了解耦; 利用模糊聚类理论实现了车床测温点的优化分组

建立了主轴与进给轴的耦合热误差多元线性回归模型

并在精密车床上得到实际应用。结果表明:车床耦合热误差模型符合实际工况

模糊聚类有效降低了温度变量之间的多重共线性

提高了模型的预测精度; 主轴x/z方向的预测精度达88.4%、90.7%

进给轴x/z方向的预测精度达82.9%、71.3%; 补偿后车床x/z方向精度分别提高了60.3%、56.6%

证明了耦合热误差模型的准确性。

Abstract

The mutually coupled thermal error of spindle and feed shafts for a lathe strongly affects precision of workpieces. A coupled thermal error model is proposed and implemented for machine tools. For a Headman HTC550/500 precision lathe

the coupled thermal error of spindle and feed shafts is decoupled

and fuzzy clustering is used to optimize the temperature measuring points. Subsequently

a multi-variable linear regression model for coupled thermal error is established and applied. The results show that the coupled thermal error model coincides with the lathe's actual situation; the fuzzy clustering effectively lowers the multicollinearity among temperature variables to improve the prediction accuracy; the prediction accuracy in x and z directions reaches 88.4% and 90.7% for spindle

and 82.9% and 71.3% for feed shafts

so the accuracy of the lathe is improved by 60.3% in x direction and by 56.6% in z direction after compensation.

关键词

Keywords

references

BRYAN J B. International status of thermal error research [J]. Annals of CIRP, 1990, 39(2): 645-656.

杜正春, 杨建国, 窦小龙. 制造车床热误差研究现状与思考 [J]. 制造业自动化, 2002, 24(10): 1-3.

DU Zhengchun, YANG Jianguo, DOU Xiaolong. The research status and ponder about thermal error for machine tools [J]. Manufacturing Automation, 2002, 24(10): 1-3.

DONMEZ M A, HAHN M H, SOONS J A. A novel cooling system to reduce thermally-induced errors of machine tools [J]. Annals of CIRP, 2007, 56(1): 521-524.

MOU J. A method of using neural networks and inverse kinematics for machine tool error estimation and correction [J]. ASME Journal of Manufacturing Science and Engineering, 1997, 119(2): 247-254.

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

YANG S, YUAN J, NI J. The improvement of thermal error modeling and compensation on machine tools by CMAC neural network [J]. International Journal of Machine Tools and Manufacture, 1996, 36(4): 527-537.

YANG Jun, SHI Hu, FENG Bin, et al. Applying neural network based on fuzzy cluster pre-processing to thermal error modeling for coordinate boring machine [J]. Procedia CIRP, 2014(17): 698-703.

YANG Jun, ZHANG Dongsheng, FENG Bin, et al. Thermal-induced errors prediction and compensation for a coordinate boring machine based on time series analysis [J/OL]. Mathematical Problems in Engineering [2014-11-01]. http: ∥dx.doi.org/10.1155/2014/784218.

WU C H, KUNG Y T. Thermal analysis for the feed drive system of a CNC machine center [J]. International Journal of Machine Tools Manufacture, 2003, 43(15): 1521-1528.

LIN W Q, XU Y Z, FU J Z, et al. Thermal error modeling and compensation of spindles based on LS-SVM [C]∥International Technology and Innovation Conference. London, UK: IET Conference Publications, 2006: 841-846.

郭前建, 杨建国, 李永祥, 等. 聚类回归分析在滚齿机热误差建模中的应用 [J]. 上海交通大学学报, 2008, 42(7): 1055-1059.

GUO Qianjian, YANG Jianguo, LI Yongxiang, et al. Application of clustering regression analysis to thermal error modeling of gear hobbing machine [J]. Journal of Shanghai Jiaotong University, 2008, 42(7): 1055-1059.

JIN Chao, WU Bo, HU Youmin. Temperature distribution and thermal error prediction of a CNC feed system under varying operating conditions [J]. International Journal of Advanced Manufacturing Technology, 2015(77): 1979-1992.

谢春, 张为民. 车铣复合加工中心综合误差检测及补偿策略 [J]. 光学精密工程, 2014, 22(4): 1004-1011.

XIE Chun, ZHANG Weimin. Comprehensive measurement errors of 5-axis turning-milling centers and their compensation strategies [J]. Optics and Precision Engineering, 2014, 22(4): 1004-1011.

ABDULSHAHED A M, LONGSTAFF A P, FLETCHER S. The application of ANFIS prediction models for thermal error compensation on CNC machine tools [J]. Applied Soft Computing, 2015, 27(2): 158-168.

苗恩铭, 垄亚运. 支持向量回归机在数控加工中心热误差建模中的应用 [J]. 光学精密工程, 2013, 21(4): 980-986.

MIAO Enming, GONG Yayun. Application of support vector regression machine to thermal error modelling of machine tools [J]. Optics and Precision Engineering, 2013, 21(4): 980-986.

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 the dual-drive servo feed system [J]. Journal of Xi'an Jiaotong University. 2013, 47(11): 53-59.

LEAHY R, WU Z. An optional graph theoretic approach to data clustering: theory and its application to image segmentation [J]. IEEE Trans on PAMI, 1993, 15(11): 1101-1113.

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 for a coordinate boring machine based on fuzzy clustering and SVM [J]. Journal of Shanghai Jiaotong University, 2014, 48(8): 1175-1182.

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