Effect of variations in the riveting process on the quality of riveted joints

Cheraghi, S. Hossein

doi:10.1007/s00170-007-1291-6

Cited by 91 publications

(48 citation statements)

References 6 publications

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“…Thanks to this powerful tool of virtual simulations, it has been possible to change the riveting parameter related to the squeeze force and to analyze their effects. A work focused on a similar approach has been done by Cheraghi et al [12] with particular attention on the riveting quality. …”

Section: Introductionmentioning

confidence: 94%

Effect of cold driving process on fatigue life of helicopter fuselage joints

Viganò¹,

Manes²,

Giglio³

2010

Procedia Engineering

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Cold driving is a common procedure in aeronautical structures in presence of riveted holes; this process has influence on the fatigue life of the whole riveted joint. Using detailed FE models comprehensive of the rivet forming operation, the effect of the squeeze force on fatigue life of the joint has been investigated. Different multiaxial fatigue criteria (Sines, Crossland, KakunoKavada and Papadopoulos) have been used in the fatigue evaluations in order to consider the complete stress state of the riveted hole (comprehensive of the residual stress field). The numerical analyses have been supported by an experimental test carried out on a panel specimen from rotorcraft frame.

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Section: Introductionmentioning

confidence: 94%

Effect of cold driving process on fatigue life of helicopter fuselage joints

Viganò¹,

Manes²,

Giglio³

2010

Procedia Engineering

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“…In the aircraft industry, sheet metal parts are widely used, and riveting is the most common method to assemble them (Cheraghi 2008). Many factors have to be considered during the riveting process, which will directly affect the riveting quality.…”

Section: Engineering Example 2: a Riveting Processmentioning

confidence: 99%

Point estimate-based importance analysis for structural models with correlated variables

Zhou

Lü

Ren

2013

International Journal of Systems Science

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Importance analysis is conducted to find the contributions of the inputs to the output uncertainty. In this work, a point estimate-based importance analysis algorithm is established for models involving correlated input variables, and the variance contribution by an individual correlated input variable is decomposed into correlated contribution and uncorrelated contribution. In the established algorithm, the correlated variables are orthogonalised to generate corresponding independent variables, and the performance function is reconstructed in the independence space. Then, the point estimate is employed to compute the variance-based importance measures in the independence space, by which the variance contribution of the original correlated variables, including the correlated part and uncorrelated part, can be obtained. Different point estimate methods can be employed in the proposed algorithm; thus, the algorithm is adaptable and improvable. The proposed algorithm avoids the sampling procedure, which usually consumes a heavy computational cost. Discussion of numerical and engineering examples in this work has demonstrated that the proposed algorithm provides an effective tool to deal with uncertainty analysis involving correlated inputs.

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“…Under the interaction of positioning errors, drilling force, clamping force, friction force, as well as the force supplied by the plastic deformation of the rivets, ATWS will deform during the assembly process and remain deformed after assembly. These deformations cause variations, i.e., dimensional error [2,3]. The variation may adversely affect the fatigue durability and damage tolerance characteristics of the aircraft.…”

Section: Introductionmentioning

confidence: 99%

“…They proposed that riveting affects the behavior of the overall assembly when subjected to an exterior load since the rivet and the plates are in state of pretension subsequent to the riveting operation which will affect the variation. By considering the effect of variation in drilled holes size, diameter of rivet, length and squeeze force on the riveting process, Cheraghi et al developed a finite element simulation method to study the effect of the riveting parameters on the variation of riveting [3]. Fernlund et al developed a methodology for modeling a large complex part such as the aft strut fairing, they measured deformations for a number of parts and compared to predict deformations based on models developed using a FE based composites processing software [8].…”

Section: Introductionmentioning

confidence: 99%