Comparative Study of Spot Welding and Firiction Stir Spot Welding of Al 2024-T3

2018 ◽  
Vol 786 ◽  
pp. 104-118
Author(s):  
M.H. Fahmy ◽  
Hamed Abdel-Aleem ◽  
M.R. Elkousy ◽  
N. M. Abdel-Elraheem
Keyword(s):  
Shear Strength ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Dendritic Structure ◽  
Friction Stir Spot Welding ◽  
Stir Zone ◽  
Tensile Shear ◽  
Friction Stir ◽  
Resistance Spot ◽  
Aluminum Alloy 2024

This investigation is performed to compare the resistance spot welding (RSW) of aluminum alloy (2024-T3) with friction stir spot welding (FSSW) techniques. In this work, parameters of both resistance spot welding (RSW) and friction stir spot welding (FSSW) techniques were optimized and the optimum welding variables for both techniques were obtained. For FSSW, the tensile shear strength increased with increasing probe length, tool rotational speed and tool holding time. Tensile shear force value of RSW is about 66% of that of FSSW. This is explained by the coarse dendritic structure in resistance spot welding compared to the plastically deformed stir zone and heat affected zone in FSSW. The ratio of nugget shear strength of RSW and FSSW to base metal is about 71% and 149% respectively. The maximum hardness was obtained in stir zone at the surface of the tool. Very fine grain size of about 4 microns was obtained in stir zone followed by elongated and rotated grains in TMAZ where dynamic recrystallization did not occur.

scholarly journals Resistance Spot Welding Optimization Based on Artificial Neural Network

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Thongchai Arunchai ◽  
Kawin Sonthipermpoon ◽  
Phisut Apichayakul ◽  
Kreangsak Tamee
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Shear Strength ◽  
Aluminum Alloy ◽  
Parameter Optimization ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Tensile Shear Strength ◽  
Tensile Shear ◽  
Resistance Spot

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.

Effects of process time and thread on tensile shear strength of Al alloy lap joint produced by friction stir spot welding

2010 ◽  
Vol 24 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Mitsuo Fujimoto ◽  
Daisuke Watanabe ◽  
Natsumi Abe ◽  
Sato S. Yutaka ◽  
Hiroyuki Kokawa
Keyword(s):  
Shear Strength ◽  
Spot Welding ◽  
Friction Stir Spot Welding ◽  
Process Time ◽  
Al Alloy ◽  
Tensile Shear Strength ◽  
Lap Joint ◽  
Tensile Shear ◽  
Friction Stir

Effects of Welding Time and Alloy Elements on Mechanical Properties of Aluminum/SPCC Joint Using Resistance Spot Welding

2012 ◽  
Vol 602-604 ◽  
pp. 2123-2129
Author(s):  
Nan Wang ◽  
Tomiko Yamaguchi ◽  
Kazumasa Nishio
Keyword(s):  
Shear Strength ◽  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Intermetallic Compound ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Time ◽  
Tensile Shear Strength ◽  
Tensile Shear ◽  
Resistance Spot

In this study, effects of welding time and elements Mg, Si and Cu in aluminum alloys on hardness and tensile shear strength of aluminum alloys/steel joints in resistance spot welding have been investigated. The welding current was kept a constant 10.5kA and electrode force was 1kN. Welding time was increased from 0.067s up to 0.2s with a rise of 0.033s. Two intermetallic compound layers were generated at weld interfacial zones between aluminum alloys and steel during welding process, and the major phases were FeAl3 adjacent and directing to aluminum alloy and Fe2Al5 adjacent and directing to the steel. Diffusion of Si in aluminum alloy occurred at the interface, whereas the diffusion of Mg and Cu was not observed at the interface according to the EPMA analysis results. Hardness of intermetallic compound layers was 13.8GPa, which was about 12 times as much as that of the aluminum alloy. The largest tensile-shear strength was obtained on the condition of 0.134 and 0.167s welding time.

scholarly journals Optimization of Resistance Spot Welding (RSW) Parameters by using Taguchi Method

2020 ◽  
Vol 9 (3) ◽  
pp. 2795-2800
Keyword(s):  
Shear Strength ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Current ◽  
Welding Parameters ◽  
Welding Time ◽  
Tensile Shear Strength ◽  
Tensile Shear ◽  
Resistance Spot ◽  
Electrode Force

This study was intended to optimize the resistance Spot Welding Parameters (RSW) of sheet metals joints. The variation parameters selected were electrode force, welding current and welding time of 1.2 mm thickness low carbon steel. The settings of process parameters were conducted according to the L9 Taguchi orthogonal array in randomized way. The optimum process parameter was then obtained by using signal to noise ratio and analyzed further on the significant level by using Analysis of Variance (ANOVA). The developed response has been found well fitted and can be effectively used for tensile shear strength prediction. The optimum parameters achieved were electrode force (2.3 kN), welding time (10 cycles) and welding current (8 kA). Based on the ANOVA, it was found that the electrode force is a vital parameter in controlling the tensile shear strength as compared to welding time and welding current.

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