Dynamic analysis and vibration testing of CFRP drive-line system used in heavy-duty machine tool

被引:9
|
作者
Yang, Mo [1 ]
Gui, Lin [2 ]
Hu, Yefa [1 ]
Ding, Guoping [1 ]
Song, Chunsheng [1 ]
机构
[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China
[2] Wuhan Heavy Duty Machine Tool Grp Corp, Wuhan 430070, Peoples R China
基金
中国国家自然科学基金;
关键词
CFRP drive-line system; Dynamic behavior; Transfer matrix; Vibration measurement; COMPOSITE; HYBRID; SHAFT; PREDICTION; TUBES;
D O I
10.1016/j.rinp.2018.01.067
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Low critical rotary speed and large vibration in the metal drive-line system of heavy-duty machine tool affect the machining precision seriously. Replacing metal drive-line with the CFRP drive-line can effectively solve this problem. Based on the composite laminated theory and the transfer matrix method (TMM), this paper puts forward a modified TMM to analyze dynamic characteristics of CFRP drive-line system. With this modified TMM, the CFRP drive-line of a heavy vertical miller is analyzed. And the finite element modal analysis model of the shafting is established. The results of the modified TMM and finite element analysis (FEA) show that the modified TMM can effectively predict the critical rotary speed of CFRP drive-line. And the critical rotary speed of CFRP drive-line is 20% higher than that of the original metal drive-line. Then, the vibration of the CFRP and the metal drive-line were tested. The test results show that application of the CFRP drive shaft in the drive-line can effectively reduce the vibration of the heavy-duty machine tool. (c) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND
引用
收藏
页码:1110 / 1118
页数:9
相关论文
共 29 条
  • [1] Study on Forced Torsional Vibration of CFRP Drive-Line System with Internal Damping
    Mo Yang
    Yefa Hu
    Jinguang Zhang
    Guoping Ding
    Chunsheng Song
    [J]. Applied Composite Materials, 2018, 25 : 1307 - 1322
  • [2] Study on Forced Torsional Vibration of CFRP Drive-Line System with Internal Damping
    Yang, Mo
    Hu, Yefa
    Zhang, Jinguang
    Ding, Guoping
    Song, Chunsheng
    [J]. APPLIED COMPOSITE MATERIALS, 2018, 25 (06) : 1307 - 1322
  • [3] Reliability analysis of dynamic accuracy for the heavy-duty machine tool segmented beam
    Tian, Yang
    Cheng, Qian
    Sun, Yong
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (11-12): : 4563 - 4574
  • [4] Reliability analysis of dynamic accuracy for the heavy-duty machine tool segmented beam
    Yang Tian
    Qian Cheng
    Yong Sun
    [J]. The International Journal of Advanced Manufacturing Technology, 2023, 124 : 4563 - 4574
  • [5] Vibration Characteristics of Heavy-Duty CNC Machine Tool-Foundation Systems
    Tian, Yang
    Shu, Qilin
    Liu, Zhifeng
    Ji, Yujie
    [J]. SHOCK AND VIBRATION, 2018, 2018
  • [6] Failure Analysis for Hydraulic System of Heavy-Duty Machine Tool with Incomplete Failure Data
    Li, Shizheng
    Yang, Zhaojun
    Tian, Hailong
    Chen, Chuanhai
    Zhu, Yongfu
    Deng, Fuqin
    Lu, Song
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (03): : 1 - 18
  • [7] Reliability assignment of a heavy-duty CNC machine tool spindle system based on fault tree analysis
    Chen, Hongxia
    Zhang, Junfeng
    Li, Chenguang
    Wang, Jihua
    Guo, Chuncheng
    [J]. International Journal of Reliability and Safety, 2022, 16 (1-2) : 87 - 109
  • [8] State estimation of a heavy-duty machine tool-foundation system based on observability
    Tian, Yang
    Boutat, Driss
    Liu, Zhi-feng
    Liu, Da-Yan
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2019, 25 (08) : 1447 - 1459
  • [9] Tolerance analysis of the volumetric error of heavy-duty machine tool based on interval uncertainty
    Wang, Han
    Li, Tian-jian
    Ding, Xiao-hong
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 114 (7-8): : 2185 - 2199
  • [10] Tolerance analysis of the volumetric error of heavy-duty machine tool based on interval uncertainty
    Han Wang
    Tian-jian Li
    Xiao-hong Ding
    [J]. The International Journal of Advanced Manufacturing Technology, 2021, 114 : 2185 - 2199