A general failure criterion for spot welds under combined loading conditions

Lin, Shiyao; Pan, Jwo; Tyan, Tau; Prasad, Priya

doi:10.1016/s0020-7683(03)00341-x

Cited by 88 publications

(48 citation statements)

References 22 publications

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“…2012;Chao. 2003a;Zuniga et al 1997;Lin et al 2003) and reveal the pullout failure process of the cross-tensile specimens as schematically demonstrated in Figure 2. Generally, when the load is applied, both plates undergo an initial global deflection until the intense plastic deformation occurs near the circumferential surface of the RSW.…”

Section: Failure Mechanismmentioning

confidence: 98%

“…2003a;Chao. 2003b;Zuniga et al 1997;Lin et al 2003;Marya et al 2006;Lin et al 2002). For example, Chao (2003a) studied the ultimate tensile strength of resistance spot welds in mild steel subjected to combined loading tension and shear loads, and verified that a spot weld under cross-tensile loading fails at a lower load than a spot weld subject to lap-shear loading.…”

Section: Latin American Journal Of Solids and Structures 13 (2016) 21mentioning

confidence: 99%

“…The pullout mode is the generally preferred failure mode due to its high load-carrying capacity and energy absorption capability. However, when the spot weld process is inaccurate or the expected deterioration of spot welds quality occurs during the product lifetime, spot welds may have the interfacial failure mode as discussed by Chao (2003aChao ( , 2003b and Lin et al (2003). It has been proved that the sheet thickness and the weld diameter are the two primary factors influencing the failure mode of the RSW.…”

Section: Failure Mechanismmentioning

confidence: 99%

“…Beyond an initial linear portion corresponding to the elastic behavior, the curve remains linear in the plastic portion until the maximum load, which is considered as the failure load. Indeed, when the displacement continues to increase, the load starts dropping gradually as the crack initiation occurs followed by its propagation along the circumference of the nugget as discussed by Lin et al (2002Lin et al ( , 2003. However, in order to bring down these curves in the FE-model, a failure criterion must be introduced.…”

Section: Deformed Shape and Load-displacement Curvesmentioning

confidence: 99%

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Finite Element Method Based Modeling of Resistance Spot-Welded Mild Steel

Zaoui

Hadjoui

2016

Lat. Am. j. solids struct.

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This paper deals with Finite Element refined and simplified models of a mild steel spot-welded specimen, developed and validated based on quasi-static cross-tensile experimental tests. The first model was constructed with a fine discretization of the metal sheet and the spot weld was defined as a special geometric zone of the specimen. This model provided, in combination with experimental tests, the input data for the development of the second model, which was constructed with respect to the mesh size used in the complete car finite element model. This simplified model was developed with coarse shell elements and a spring-type beam element was used to model the spot weld behavior. The global accuracy of the two models was checked by comparing simulated and experimental load-displacement curves and by studying the specimen deformed shapes and the plastic deformation growth in the metal sheets. The obtained results show that both fine and coarse finite element models permit a good prediction of the experimental tests.

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Section: Failure Mechanismmentioning

confidence: 98%

Section: Latin American Journal Of Solids and Structures 13 (2016) 21mentioning

confidence: 99%

Section: Failure Mechanismmentioning

confidence: 99%

Section: Deformed Shape and Load-displacement Curvesmentioning

confidence: 99%

See 2 more Smart Citations

Finite Element Method Based Modeling of Resistance Spot-Welded Mild Steel

Zaoui

Hadjoui

2016

Lat. Am. j. solids struct.

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“…Each car body factory has more than 200 welding machines. In order to get standard weld quality overall has led to high costs of adjusting the parameter settings for each different model of welding machine, for different materials (e.g., thickness), for replacement electrodes, and so on [6][7][8]. Therefore, it is important to understand the parameter relationships in the RSW process, quality improvement measures, assessment and efficiency prediction, and appropriate parameter optimization.…”

Section: Introductionmentioning

confidence: 99%

Resistance Spot Welding Optimization Based on Artificial Neural Network

Arunchai

Sonthipermpoon

Apichayakul

et al. 2014

International Journal of Manufacturing Engineering

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Resistance Spot Welding (RSW) is processed by using aluminum alloy used in the automotive industry. The difficulty of RSW parameter setting leads to inconsistent quality between welds. The important RSW parameters are the welding current, electrode force, and welding time. An additional RSW parameter, that is, the electrical resistance of the aluminum alloy, which varies depending on the thickness of the material, is considered to be a necessary parameter. The parameters applied to the RSW process, with aluminum alloy, are sensitive to exact measurement. Parameter prediction by the use of an artificial neural network (ANN) as a tool in finding the parameter optimization was investigated. The ANN was designed and tested for predictive weld quality by using the input and output data in parameters and tensile shear strength of the aluminum alloy, respectively. The results of the tensile shear strength testing and the estimated parameter optimization are applied to the RSW process. The achieved results of the tensile shear strength output were mean squared error (MSE) and accuracy equal to 0.054 and 95%, respectively. This indicates that that the application of the ANN in welding machine control is highly successful in setting the welding parameters.

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Failure Characteristics of Spot Welds of AHSS under Quasi-static Conditions

Huh

Lee

et al. 2011

Experimental and Applied Mechanics, Volume 6

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A general failure criterion for spot welds under combined loading conditions

Cited by 88 publications

References 22 publications

Finite Element Method Based Modeling of Resistance Spot-Welded Mild Steel

Finite Element Method Based Modeling of Resistance Spot-Welded Mild Steel

Resistance Spot Welding Optimization Based on Artificial Neural Network

Failure Characteristics of Spot Welds of AHSS under Quasi-static Conditions

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