Recent Patents of Thermal Error Modeling and Thermal Error Prediction of CNC Machine Tool Spindle

被引:0
|
作者
Li, Zhaolong [1 ,2 ]
Sun, Benchao [2 ]
机构
[1] Key Laboratory of Advanced Manufacturing and Intelligent Technology (Ministry of Education), Harbin, China
[2] School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China
关键词
Patents and inventions;
D O I
10.2174/0118722121241109230927035918
中图分类号
学科分类号
摘要
With the development of machine tools to high precision and high automation, thermal error has become the key reason to hinder the improvement of thermal stability of machine tools. The spindle electro thermal error is an important factor affecting the machining accuracy of high-speed CNC machine tools. The thermal error model of a high-speed motorized spindle is established to compensate the thermal error, which can effectively improve the influence of thermal error on the machining accuracy of machine tools. The thermal displacement during the operation of motorized spindle is the main reason that affects the machining stability and precision of motorized spindle. The thermal error compensation of CNC machine tool spindle can improve the machining efficiency, the machining quality of parts and the service life of CNC machine tools. This patent paper summarizes the representative patents and papers on thermal error modeling and thermal error prediction in China. By summarizing a large number of patents and papers on modeling, prediction and compensation of thermal error of spindle of CNC machine tools, the modeling method is analyzed and the development trend is discussed. The improvement of thermal error modeling method of CNC machine tool spindle has an important influence on improving machining accuracy, efficiency, and stability. Therefore, in the future, there will be more and more patents for thermal error modeling of CNC machine tools and spindles. © 2024 Bentham Science Publishers.
引用
下载
收藏
相关论文
共 50 条
  • [41] Sub-regional thermal error compensation modeling for CNC machine tool worktables
    Wei, Xinyuan
    Feng, Xugang
    Miao, Enming
    Qian, Muyun
    Pan, Qiaosheng
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2022, 73 : 313 - 325
  • [42] The Thermal Error Estimation of the Machine Tool Spindle Based on Machine Learning
    Chiu, Yu-Cheng
    Wang, Po-Hsun
    Hu, Yuh-Chung
    MACHINES, 2021, 9 (09)
  • [43] Correction to: Thermal error prediction of machine tool spindle using segment fusion LSSVM
    Feng Tan
    Guofu Yin
    Kai Zheng
    Xin Wang
    The International Journal of Advanced Manufacturing Technology, 2021, 116 : 115 - 115
  • [44] A new thermal error modeling method for CNC machine tools
    Jian Han
    Liping Wang
    Haitong Wang
    Ningbo Cheng
    The International Journal of Advanced Manufacturing Technology, 2012, 62 : 205 - 212
  • [45] Optimal linear combination modeling for CNC machine thermal error
    Yan, Jia-Yu
    Yang, Jian-Guo
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2009, 43 (04): : 633 - 637
  • [46] Variable-weight Combination Prediction of Thermal Error Modeling on CNC Machine Tools
    Feng, Zhiming
    Yin, Guofu
    JOURNAL OF COMPUTERS, 2014, 9 (11) : 2616 - 2620
  • [47] Thermal error measurement of spindle for 5-axis CNC machine tool based on ball bar
    He, Zhen-Ya
    Fu, Jian-Zhong
    Chen, Zi-Chen
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2015, 23 (05): : 1401 - 1408
  • [48] Adaptive thermal error prediction for CNC machine tool spindle using online measurement and an improved recursive least square algorithm
    Wei, Xinyuan
    Ye, Honghan
    Wang, Gao
    Hu, Weidong
    CASE STUDIES IN THERMAL ENGINEERING, 2024, 56
  • [49] A new thermal error modeling method for CNC machine tools
    Han, J. (j-han07@mails.tsinghua.edu.cn), 1600, Springer London (62): : 1 - 4
  • [50] A new thermal error modeling method for CNC machine tools
    Han, Jian
    Wang, Liping
    Wang, Haitong
    Cheng, Ningbo
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 62 (1-4): : 205 - 212