Welding parameters influence on fatigue life and microstructure in resistance spot welding of 6061-T6 aluminum alloy

Florea, R.S.; Bammann, Douglas J.; Yeldell, A.; Solanki, Kiran; Hammi, Youssef

doi:10.1016/j.matdes.2012.08.053

Cited by 69 publications

(30 citation statements)

References 12 publications

(24 reference statements)

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“…These provide important information for process representation and the development of a control method by compensation for the process variations and errors arising from these sources. R.S Florea et al [10] explored welding parameters influence on fatigue life and microstructure in resistance spot welding of 6061-T6 aluminum alloy. The fatigue behaviour of resistance spot welding (RSW) in aluminum 6061-T6 alloy (AlMg1SiCu per International Standard Office nomenclature) was experimentally investigated Load control cyclic tests were then conducted on single weld lap-shear joint coupons to study the microstructure and fatigue life properties.…”

Section: ©Ijraset (Ugc Approved Journal): All Rights Are Reservedmentioning

confidence: 99%

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Gawai¹

2018

IJRASET

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Resistance Spot welding is low cost and adequate which has made it highly popular in the making of sheet joints. Various types of resistance welding are developed for producing continuous and pressure tight joints on overlapped materials. Controlling the welding parameters plays an important role in the quality of the weld. This paper reviews on various effects of process parameters on response variables. Input parameters such as welding current, weld time, electrode force and electrode geometry effects on the response variables such as tensile strength, hardness, nugget size. In any automobile, there are 3000-6000 spot welds which demonstrate the level significance of the resistance spot welding. Controlling the welding parameters assumes an imperative part on the nature of the weld.Quality and strength of the welds and therefore body mainly are defined by quality of the weld nuggets. Resistance Spot Welding (RSW) is widely used for its low cost, high speed; simple mechanism and applicability for automation. There are various process parameters (weld current, weld time, pressure) which affect the weld nugget and its strength. So it is necessary to optimize the process parameters of resistance spot welding process. Therefore it is very important to understand the behaviour of spot welds and their failure characteristics.

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Section: ©Ijraset (Ugc Approved Journal): All Rights Are Reservedmentioning

confidence: 99%

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Gawai¹

2018

IJRASET

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“…Researchers have studied the relationship of the RSW parameters and confirm that the welding process parameters have a great influence on the weld quality [18,19]. In addition, the resistance of the material due to the thickness of the work piece is also important, as can be seen in greater nugget growth in thicker pieces than thin pieces.…”

Section: Rsw Processmentioning

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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“…Hassanifard et al (2013) examined the effects of different arrangement of spot welding on fatigue behavior of spot welding joints. Florea et al (2013) studied the welding parameters affecting the fatigue behavior of spot welding for aluminum alloy 6061-T6 experimentally. The results of this study revealed that the welding parameters have a great influence on the microstructure and the fatigue life of spot welding joints and aluminum foil with a thickness of 2 mm.…”

Section: Introductionmentioning

confidence: 99%

Fatigue Strength and Fatigue Fracture Mechanism for Spot Welds in U-Shape Specimens

Shariati

Nejad

2016

Lat. Am. j. solids struct.

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In this paper, the fatigue behavior of the metallic welded U-shape specimens subjected to cyclic loading have been investigated via experimental and numerical analysis. To do so, two sets of the spot welded specimens with different sizes were prepared and fatigue tests were conducted under the various cyclic loads. The crack propagation is numerically examined by using the stress intensity factor values achieved from FE analyses. The modified Paris and Forman-Newman-De Koning models were used to estimate the fatigue crack growth rate. The results indicate that the fatigue life of specimens decreases with any increase in load level.

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Welding parameters influence on fatigue life and microstructure in resistance spot welding of 6061-T6 aluminum alloy

Cited by 69 publications

References 12 publications

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review

Resistance Spot Welding Optimization Based on Artificial Neural Network

Fatigue Strength and Fatigue Fracture Mechanism for Spot Welds in U-Shape Specimens

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