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Author:

Wang, Yuezhen (Wang, Yuezhen.) | Liu, Zhifeng (Liu, Zhifeng.) | Li, Ying (Li, Ying.) | Yang, Congbin (Yang, Congbin.)

Indexed by:

EI Scopus

Abstract:

The bolted-flange connection is one of the most popular detachable mechanical joints in mechanical flange connection. It is well known that bolted-flange joints need to be tightened to meet the assembly performance in practical engineering applications. However, the dispersion of the pre-tightening force caused by the elastic interaction between the bolts has a serious impact on the sealing and safety of the product, and therefore the optimization of bolt preload has always been a hot spot in the assembly research field. Combining mathematical theory and experimental data, this paper proposes an optimization model for uniformly distributed preload based on the Markov theory. The torque method was utilized to fasten the bolt-flange joint. The bolt pre-tightening force in the final state was collected and used as sample data. A state transition model was constructed to determine the state transition matrix. Ultimately, an iterative model of the preload was deduced, and the rationality of the model was verified through experimentation. The proposed optimization method of bolt preload can be applied to determine the initial preload of each bolt. This method improves the assembly efficiency and accuracy, which provides a theoretical approach to effectively guide the tightening work of bolted-flange connections. © 2022 Institute of Physics Publishing. All rights reserved.

Keyword:

Bolts Assembly Iterative methods Flanges

Author Community:

  • [ 1 ] [Wang, Yuezhen]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, Beijing; 100124, China
  • [ 2 ] [Wang, Yuezhen]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing, Beijing; 100124, China
  • [ 3 ] [Liu, Zhifeng]Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Jilin, Changchun; 130012, China
  • [ 4 ] [Liu, Zhifeng]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing, Beijing; 100124, China
  • [ 5 ] [Li, Ying]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, Beijing; 100124, China
  • [ 6 ] [Li, Ying]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing, Beijing; 100124, China
  • [ 7 ] [Yang, Congbin]Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, Beijing; 100124, China
  • [ 8 ] [Yang, Congbin]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Beijing University of Technology, Beijing, Beijing; 100124, China

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Source :

ISSN: 1742-6588

Year: 2022

Issue: 1

Volume: 2174

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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