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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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SCIE

摘要:

Investigating weak parts of the structure is one of the most important issues for improving the stiffness of the machine tool. However, studies show that overcoming the static deformation is a challenging problem in practical structures. In the present study, the dynamic hammer testing approach is applied to analyze the cantilever structure of the machine tool with elastic support. Accordingly, a new weakness index (WI) is proposed to identify weak parts of the cantilever structure with an elastic support. Then the cantilever beam with the elastic support is numerically simulated and weak parts are modeled as stiffness reduction. In this regard, finite element (FE) simulations are carried out to evaluate the effectiveness of the WI method in several scenarios with single and multiple weaknesses, including the noise case. In the combined structure of the tailstock and the bed of the machine tool, sensors are utilized to collect vibration data. Furthermore, the dynamic characteristics are calculated through the modal state-space method to obtain the stiffness data at zero-frequency. Then, weak parts of the structural stiffness are identified based on the weakness index. It is found that the FE simulations are in an excellent agreement with the experiment. Therefore, it is proved that the WI can accurately identify the weak parts of the machine tool cantilever structure.

关键词:

Cantilever structure dynamic testing FE method static stiffness weak identification weakness index

作者机构:

  • [ 1 ] [Guo, Tieneng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Meng, Lingjun]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, 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:

  • [Meng, Lingjun]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China

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来源 :

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

ISSN: 0954-4062

年份: 2021

2 . 0 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:9

被引次数:

WoS核心集被引频次: 4

SCOPUS被引频次: 5

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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