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作者:

Guo, Tieneng (Guo, Tieneng.) | Meng, Lingjun (Meng, Lingjun.) | Cao, Jinxuan (Cao, Jinxuan.) | Bai, Chunsheng (Bai, Chunsheng.)

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摘要:

To find the weak link of the structural stiffness is important to improve machine tool stiffness. However, how to overcome the static deformation with difficulty acquisition is a difficult problem in machine tool structure. The article takes the cantilever beam structure as a numerical example, the weak link is modeled as EA reduction in stiffness. Thorough finite element simulations are performed to assess the robustness and limitations of the method in several scenarios with single and multiple weaknesses. The sensors are used to acquire the acceleration data, the structural modal parameters are obtained by the singular value decomposition technique, and the dynamic characteristics are systematically reconstructed by using the modal state-space method to obtain static stiffness. Then, an identification method proposed by measured data and reconstructed data to identify the weak link of stiffness of the cantilever structure. Furthermore, the comparison of numerical and experimental results validate the correctness and effectiveness of this method. The research has certain practical engineering value and provides an accurate guidance for the optimization of machine tool stiffness.

关键词:

Cantilever beam experimental modal analysis identification index static stiffness weak link

作者机构:

  • [ 1 ] [Guo, Tieneng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, 100 Pingyuan, Beijing 100124, Peoples R China
  • [ 2 ] [Meng, Lingjun]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, 100 Pingyuan, Beijing 100124, Peoples R China
  • [ 3 ] [Guo, Tieneng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing, Peoples R China
  • [ 4 ] [Meng, Lingjun]Mech Ind Key Lab Heavy Machine Tool Digital Desig, Beijing, Peoples R China
  • [ 5 ] [Cao, Jinxuan]Jiangling Motors Corp Ltd, Nanchang, Jiangxi, Peoples R China
  • [ 6 ] [Bai, Chunsheng]Tianjin Inst Aerosp Mech & Elect Equipment, Tianjin, Peoples R China

通讯作者信息:

  • [Guo, Tieneng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, 100 Pingyuan, Beijing 100124, Peoples R China

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来源 :

SCIENCE PROGRESS

ISSN: 0036-8504

年份: 2020

期: 3

卷: 103

2 . 1 0 0

JCR@2022

JCR分区:2

被引次数:

WoS核心集被引频次: 6

SCOPUS被引频次: 6

ESI高被引论文在榜: 0 展开所有

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