Application of Neural Networks for Smart Tightening of Aeronautical Bolted Assemblies

Foissac, Charly; Daidié, Alain; Segonds, Stéphane; Chirol, Clément

doi:10.1007/978-3-031-15928-2_37

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Optimization Of Tightening Methods1

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2023

2024

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Cited by 2 publications

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“…Foissac et al [88] developed a smart tightening method for aeronautical bolted assemblies based on the neural networks. The study compares the performance of smart tightening based on a neural network with epistemic or arbitrary dispersions and conventional tightening.…”

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%