A multi-bolt tightening method based on elastic interaction coefficient and gasket creep relaxation

Zheng, Mingpo; Li, Ying; Liu, Zhifeng; Zhao, Yongsheng; Yang, Congbin

doi:10.1177/09544062221096242

Cited by 5 publications

(3 citation statements)

References 34 publications

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“…In the experiment, two cases were considered: without a gasket and with a silicon gasket. When the torque control method is employed, the clamping forces of flange bolts disperse extensively with constant tightening torque [77].…”

Section: Optimization Of Tightening Methodsmentioning

confidence: 99%

Optimization of Bolted Joints: A Literature Review

Croccolo,

De Agostinis,

Fini

et al. 2023

Metals

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Bolted joints are widely used in the aerospace and automotive industries due to their ease of assembly, disassembly and design flexibility. Optimizing threaded fasteners is essential to achieve uniform load distribution and minimize the number of bolts required, thereby reducing system cost and weight. This review paper aims at summarizing the five optimization techniques available in the literature, including bolt layout, tightening strategies, tightening sequences, bolt size, and stresses. The purpose is to emphasize the importance of optimizing bolted joints via the proper selection of materials, geometry, patterns, and bolt sizes, to obtain efficient joints with low assembly time while maintaining strength.

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Section: Optimization Of Tightening Methodsmentioning

confidence: 99%

Optimization of Bolted Joints: A Literature Review

Croccolo,

De Agostinis,

Fini

et al. 2023

Metals

View full text Add to dashboard Cite

show abstract

“…As with any problem, the scale of observation is important. Without giving an exhaustive list, we can mention many things that can influence preload: the speed of tightening, 15 the pitch of the threads, 16 the shape of the threads, 17 the friction coefficients at the contacts, [18][19][20] the tightening sequence, 21,22 the arrangement of the bolts, [23][24][25] the relaxation of the bolt, [26][27][28][29] the stiffness of the bolted joint, 30 the torsion of the screw, 31 or the number of times it is tightened. 32 Although the impact of these parameters is at the heart of the subject, more studies could be proposed to reduce the uncertainty they induce on the value of the preload installed.…”

Section: Introductionmentioning

confidence: 99%

Towards smart tightening in aeronautical assemblies

Foissac

Daidié

Segonds

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Exogenous disturbances, the tolerances of bolted joints, and the large number of possible combinations and configurations make it difficult to control the preload in bolted joints. Direct measurement of joint preload is not possible without calling upon laboratory testing or instrumented fasteners. The objective of smart tightening would be to compensate for the current dispersions by detecting events occurring during the tightening process that have an impact on the final value of the preload. Since the number of possible parameters, such as coating or diameter, to be considered in the selection of a bolted joint is large, this article focuses on a precise list of the main parameters characteristic of a bolted joint and the major dispersions they induce. It is first shown that dispersions in the joint parameters interfere with the evaluation of the torque and should be limited, in order to reduce the uncertainty of the preload in the joint. It is then shown that the contact torque and the tightening coefficient are key parameters for controlling the preload installed in the coupling. To detect the contact torque and tightening coefficient, a method based on real-time measurable data obtained with an instrumented screwdriver is also presented. Thus, the smart tightening method proposed in this article guarantees better respect of the preload target and limits the risks of over or under torque.

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“…Cheng et al 10 and Cao and Zhang 11 studied the energy dissipation and stress distribution of the contact interface of the bolted joint structure through theoretical and numerical simulation methods, which provided a theoretical basis for reducing bolt loosening. Wang et al 12 and Zheng et al 13 studied the effect of the elastic interaction of multiple bolts and screw creep on bolt stress relaxation. In addition, the effect of repeated use of threaded fasteners on the preload loss was also studied by Whitelaw.…”

Section: Introductionmentioning

confidence: 99%

A prediction model of bolted joint loosening based on deep learning network

Liu,

Yan,

Chen

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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The Bolted joint loosening is challenging to describe with an accurate mathematical model. Therefore, a prediction model of bolted joint loosening was proposed based on a deep learning network. Firstly, the loosening experiments of the bolted joint were carried out with an orthogonal test. And the nonlinear and uncertain characteristics of bolted joint loosening process were further analyzed. Furthermore, a prediction model of bolted joint loosening based on a deep learning network was established. The proposed model was trained and verified using the experimental data. The results showed that compared with the traditional mathematical and regression models, the model could not only obtain the change of the mean value of preload but also describe the confidence interval of the change of preload in the sense of probability synchronously. The experiment data and prediction data are in good agreement, which can be used to validate the rationality of the model.

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A multi-bolt tightening method based on elastic interaction coefficient and gasket creep relaxation

Cited by 5 publications

References 34 publications

Optimization of Bolted Joints: A Literature Review

Optimization of Bolted Joints: A Literature Review

Towards smart tightening in aeronautical assemblies

A prediction model of bolted joint loosening based on deep learning network

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