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Author:

Jiang, Kai (Jiang, Kai.) | Liu, Zhifeng (Liu, Zhifeng.) (Scholars:刘志峰) | Wang, Yida (Wang, Yida.) | Tian, Yang (Tian, Yang.) | Zhang, Caixia (Zhang, Caixia.) | Zhang, Tao (Zhang, Tao.)

Indexed by:

EI Scopus SCIE

Abstract:

Bolted joints are one of the most common fastening methods in engineering applications. To meet the requirements of structural parts, the torque method is often used for controlling the bolted joint performance. However, only a few investigations have been carried out on the conversion efficiency of bolt torque to the tensile force, leading to uncertainty and potential safety hazards during the bolt tightening. In order to study the input torque distribution and overcome problems caused by the Motosh method and experimental investigations, a new energy-based torque distribution model is established in the present study. In the proposed model, numerous affecting parameters, including the connector compression work, effective bearing radius, effective thread contact radius, and spiral angle are considered. Then a parameterized thread mesh model using finite element technology is proposed to analyze the influence of different bolt friction coefficients on the bolt tightening process. Based on 16 types of tightening analyses, it is concluded that as bolt friction coefficient increases, the corresponding torque conversion rate decreases from 14.45% to 7.89%. Compared with the Motosh method, the torque conversion rate obtained by the proposed method is relatively large, which makes the actual pre-tightening force larger than the design value. However, there is still a possibility of bolt failure.

Keyword:

energy method input torque distribution bolt different friction coefficients contact FEA

Author Community:

  • [ 1 ] [Jiang, Kai]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Zhifeng]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Caixia]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Zhifeng]Jilin Univ, Sch Mech & Aerosp Engn, Key Lab CNC Equipment Reliabil, Minist Educ, Changchun 130012, Jilin, Peoples R China
  • [ 5 ] [Wang, Yida]Shandong Inst Space Elect Technol, Yantai 264000, Shandong, Peoples R China
  • [ 6 ] [Tian, Yang]Shenyang Ligong Univ, Sch Mech Engn, Shenyang 110159, Liaoning, Peoples R China
  • [ 7 ] [Zhang, Tao]Beijing Univ Technol, Fac Mat & Mfg, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China

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Source :

JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

ISSN: 0742-4787

Year: 2022

Issue: 7

Volume: 144

2 . 5

JCR@2022

2 . 5 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:3

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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