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Author:

Chu, Hongyan (Chu, Hongyan.) | Zhang, Ze (Zhang, Ze.) | Li, Ying (Li, Ying.) | Zhao, Yongsheng (Zhao, Yongsheng.) | Chen, Wentao (Chen, Wentao.) | Yan, Xing (Yan, Xing.) | Li, Ning (Li, Ning.)

Indexed by:

EI

Abstract:

The assembly accuracy of the guide rail is closely related to the distribution state of the preload force of the bolt group. Bolts have relaxation characteristics during service, and the distribution of preload force gradually changes over time, which in turn affects the assembly accuracy of the guide rail. This article focuses on the time-varying characteristics of the distribution of preload force in bolt groups under different factors. Firstly, the relationship between the deformation of guide rail assembly and the distribution of preload force was analyzed. Secondly, based on the combined time hardening model, the general law of the dispersion of bolt pre- tightening force evolution over time was analyzed. Finally, the time-varying law of the preload force dispersion of the bolt group was analyzed under different pitches, joint surface friction coefficients, and preload force loading times. The results show that the dispersion of surface node deformation on the guide rail is positively correlated with the dispersion of preload force; The dispersion of preload force gradually decreases with time, and the downward trend gradually becomes gentle; Secondly, as the pitch and friction coefficient increase, the initial preload dispersion gradually increases, and the corresponding dispersion also gradually increases at the same creep moment. However, the percentage of dispersion decay gradually decreases within the same time period; The number of times the bolt preload force is loaded follows the opposite pattern. © 2024 SPIE.

Keyword:

Dispersion hardening Creep Friction Bolt tightening Dispersions

Author Community:

  • [ 1 ] [Chu, Hongyan]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhang, Ze]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Li, Ying]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhao, Yongsheng]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Chen, Wentao]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Yan, Xing]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Li, Ning]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing; 100124, China

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Source :

ISSN: 0277-786X

Year: 2024

Volume: 13419

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 9

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