Challenges in riveting quality prediction: a literature survey

Kim, Kyoung-Yun; Sim, Jaemun; Jannat, Noor-E; Ahmed, Fahim; Ameri, Sattar

doi:10.1016/j.promfg.2020.01.203

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…The criteria in the SPR process are interlock, minimum thickness die-sided part, rivet foot diameter, rivet head position, and maximum joining force, which depend on the concrete set up the process parameter such as material properties, rivet properties, and die geometry (see Fig. 1) [2,6,7,8]. Among these criteria, three prominent aspects need to consider: the rivet head position, the interlock distance, and the minimum remaining bottom material thickness.…”

Section: Problem Statementmentioning

confidence: 99%

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Fuzzy pattern modeling of self-pierce riveting for data from experiments and computer simulations

Nemati

Jäckel

Bocklisch

et al. 2022

Int J Adv Manuf Technol

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Modeling forms the basis for optimal control of complex technical processes in the context of industry 4.0 development and, hence, for high product quality as well as efficient production. For the mechanical joining process of self-pierce riveting with 11 input and 5 output variables, two modeling approaches based on (1) experimental data and (2) FEM computer simulation are outlined and performed. A physical modeling approach is ruled out due to the high problem dimensionality and complex nonlinear dynamic relationships between input and output variables. Alternatively, data-based approaches lead to Artificial Intelligence (AI) model designs. The experimental approach is cost- and resource-consuming; therefore, only a relatively small data set can be collected. Here, we present results from experimental trials that serve as representatives and are generalized by a description with high-dimensional parametric membership functions (fuzzification). The fuzzification procedure is also applied to the FEM computer simulation results. In principle, it can provide an arbitrarily large database. However, consequently, time- and computational effort increase considerably. Both data sets form the basis for parallel model building using the AI method of local fuzzy pattern models, which can be used to describe highly nonlinear input-output relationships by error-minimizing partitioning. Finally, the comparison of the results of the two modeling approaches is outlined. Finally, a coupled modeling strategy and future model adaptation are proposed.

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Section: Problem Statementmentioning

confidence: 99%

“…Fig 8. Distribution of OK and not OK joints concerning the tensile strength ( R m ), ultimate tensile strength ratio ( R m1∕2 ), and sheet thickness ratio ( t 1∕2 ) of the joined parts[2] …”

mentioning

confidence: 99%

Fuzzy pattern modeling of self-pierce riveting for data from experiments and computer simulations

Nemati

Jäckel

Bocklisch

et al. 2022

Int J Adv Manuf Technol

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“…The heat input was calculated by the correlation between the test specimens and the electrodes using Equation (1) of the AC (Alternating Current) spot welding heat input calculation, where Q is the generated heat input (J), I is the welding current (A), R is the resistance of the specimens (ρ, electrical resistivity (Ω m) SS316L: 7.4 × 10 −7 , AA5754: 5.22 × 10 −8 , Ti 6 Al 4 V: 17,1 × 10 −7 ), and t is the welding time (s) [21][22][23][24]. The samples' resistance in this study was determined using Equation (2). Since this study used dissimilar base metals and interlayer, the sum of three samples' resistance was taken for the generated heat input calculation.…”

Section: Heat Input and Physical Properties Analysismentioning

confidence: 99%

“…This process aimed to join two pieces of the metal sheet without any additional weight on its joint. Several joining processes, such as riveting and arc welding, place additional weight on the joints, which should be avoided to obtain a good product quality [ 1 , 2 , 3 ]. Considering the additional weight caused by inefficient joining techniques, a recent study by Costanza et al investigated explosion welding, that could be an option to join dissimilar materials without additional weight [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Welding Current and Electrode Force on the Heat Input, Weld Diameter, and Physical and Mechanical Properties of SS316L/Ti6Al4V Dissimilar Resistance Spot Welding with Aluminum Interlayer

et al. 2021

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Welding parameters obviously determine the joint quality during the resistance spot welding process. This study aimed to investigate the effect of welding current and electrode force on the heat input and the physical and mechanical properties of a SS316L and Ti6Al4V joint with an aluminum interlayer. The weld current values used in this study were 11, 12, and 13 kA, while the electrode force values were 3, 4, and 5 kN. Welding time and holding time remained constant at 30 cycles. The study revealed that, as the welding current and electrode force increased, the generated heat input increased significantly. The highest tensile-shear load was recorded at 8.71 kN using 11 kA of weld current and 3 kN of electrode force. The physical properties examined the formation of a brittle fracture and several weld defects on the high current welded joint. The increase in weld current also increased the weld diameter. The microstructure analysis revealed no phase transformation on the SS316L interface; instead, the significant grain growth occurred. The phase transformation has occurred on the Ti6Al4V interface. The intermetallic compound layer was also investigated in detail using the EDX (Energy Dispersive X-Ray) and XRD (X-Ray Diffraction) analyses. It was also found that both stainless steel and titanium alloy have their own fusion zone, which is indicated by the highest microhardness value.

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“…It has been established that load shared by rivets in composite to metal joining is asymmetric due to difference in stiffness of the two materials which result in the unequal distribution of load in rivets and lead to high susceptibility to cracking. 64 The failure of rivets occurs in various modes such as fatigue failure, shear fracture, and pull off rivet head and crushing failure. Under repeating cyclic loading encountered during flight operations, the riveted joints are subjected to widespread fatigue damage (WFD).…”

Section: Challenges In Joining Of Unequal Thickness Dissimilar Materials In Different Joint Configurations In Aircraft Applicationsmentioning

confidence: 99%

Challenges in joining of unequal thickness materials for aerospace applications: A review

Majeed

Mehta

Siddiquee

2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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The increasing industrial demand to reduce structural weight, optimize structural strength, and high performance has led to the increasing use of tailors welded blanks. However, the joining of tailors welded blanks is an issue of concern to researchers owing to the difference in thickness between the materials in addition to the difference in physical and chemical properties in the case of dissimilar materials. These challenges in joining of tailors welded blanks are conquered by a recent solid phase joining process known as friction stir welding. This review work covers different methods of joining unequal thickness similar/dissimilar (or tailors welded blanks) aircraft materials in different joint configurations along with the challenges and failure modes encountered in these joining processes. From this article researchers and industrialists can take advantage and conquer relative limitations in order to meet the future challenges for joining of similar/dissimilar aircraft materials with unequal thickness

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Challenges in riveting quality prediction: a literature survey

Cited by 7 publications

References 27 publications

Fuzzy pattern modeling of self-pierce riveting for data from experiments and computer simulations

Fuzzy pattern modeling of self-pierce riveting for data from experiments and computer simulations

The Effect of Welding Current and Electrode Force on the Heat Input, Weld Diameter, and Physical and Mechanical Properties of SS316L/Ti6Al4V Dissimilar Resistance Spot Welding with Aluminum Interlayer

Challenges in joining of unequal thickness materials for aerospace applications: A review

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