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作者:

Yin, Yunyao (Yin, Yunyao.) | Cai, Ligang (Cai, Ligang.) (学者:蔡力钢) | Liu, Zhifeng (Liu, Zhifeng.) (学者:刘志峰) | Zhao, Yongsheng (Zhao, Yongsheng.) (学者:赵永胜) | Cheng, Qiang (Cheng, Qiang.) (学者:程强)

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EI Scopus

摘要:

Bolted joints have a significant effect on the dynamical behaviour of assembled structures. Accurate contact stiffness model of bolted joint is crucial in predicting the dynamic performance of bolted structures. In this research, a modified three-dimensional fractal model of normal contact stiffness is presented to more accurately predict the dynamic characteristic of a bolted assembly. In the present model, while the contact deformation exceed the critical value the elastic-plastic contact is used to take the place of Hertz elastic contact in the traditional M-B model, and revise the drawback that elastic-plastic contact occurs before elastic contact in existing elastic-plastic fractal models. As the increase of contact force, the plastic deformation of single asperity is considered again, which is omitted in the two type fractal models. An experimental set-up with two T-shaped specimen is designed conducted to verify the efficiency of the proposed model. Comparing with the ZX elastic-plastic fractal model, the present model can predict contact stiffness and dynamic performance more accurately, particularly, while for higher contact loads. The results show that the modified elastic-plastic fractal contact model can be used to more accurately predict the stiffness and dynamic characteristic of bolted structures in the machine tools. © Published under licence by IOP Publishing Ltd.

关键词:

Bolted joints Bolts Elastoplasticity Forecasting Fractals Machine tools Manufacture Stiffness

作者机构:

  • [ 1 ] [Yin, Yunyao]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yin, Yunyao]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Cai, Ligang]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Cai, Ligang]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Liu, Zhifeng]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Liu, Zhifeng]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Zhao, Yongsheng]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Zhao, Yongsheng]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Cheng, Qiang]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Cheng, Qiang]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • 刘志峰

    [liu, zhifeng]institute of advanced manufacturing and intelligent technology, beijing university of technology, beijing; 100124, china;;[liu, zhifeng]mechanical industry key laboratory of heavy machine tool digital design and testing, beijing university of technology, beijing; 100124, china

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ISSN: 1757-8981

年份: 2018

期: 3

卷: 382

语种: 英文

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