Properties of Resistance Spot Welded Joint between Mild Steel and Aluminum Alloy with an Interlayer of AlCu28

2014 ◽  
Vol 675-677 ◽  
pp. 15-18 ◽  
Author(s):  
Long Long Hou ◽  
Ran Feng Qiu ◽  
Hong Xin Shi ◽  
Jun Qing Guo

Aluminum alloy A6061 and mild steel Q235 was welded using resistance spot welding with an interlayer of AlCu28. The mechanical properties of the joint were investigated; the effects of various welding parameters on nugget diameter and tensile shear load of the joints were systematically discussed. The results reveal that it is effective to weld aluminum alloy and mild steel using resistance spot welding with an interlayer of AlCu28.

2011 ◽  
Vol 230-232 ◽  
pp. 1084-1088
Author(s):  
Yi Min Tu ◽  
Ran Feng Qiu ◽  
Hong Xin Shi ◽  
Hua Yu ◽  
Ke Ke Zhang

A new technique of thermal compensation resistance spot welding was used to weld light metal such as aluminum alloy sheet and magnesium alloy. The effects of welding parameters on the tensile shear strength of joint and nugget diameter were investigated. The tensile shear load and nugget of the joint increased with the increasing of welding time, whereas that of the joint decreased with the increasing of electrode force. The joint with the maximum tensile shear load of approximately 5 kN was obtained at the condition of 12 kA and 11 kA welding current for aluminum alloy and magnesium alloy, respectively. The results reveal that the thermal compensation resistance spot welding is a feasible method to weld aluminum alloy and magnesium alloy..


2011 ◽  
Vol 214 ◽  
pp. 113-117 ◽  
Author(s):  
Prachya Peasura

This research was study the effect of resistance spot welding process on physical properties. The specimen was mild steel sheet metal. The experiments with full factorial design. The factors used in this study are welding current, welding time and electrode force. The welded specimens were tested by tensile shear testing according to JIS Z 3136: 1999 and macro structure testing according to JIS Z 3139: 1978. The result showed that both of welding current, welding time and electrode force had interaction on tensile shear and nugget size at 95% confidential (P value < 0.05). Factors affecting the tensile shear and nugget size are the most welding current 10,000 amp., welding time 10 cycle and electrode force 1 kN. were tensile shear 7.13 kN. and nugget size maximum 6.75 mm. This research can bring information to the foundation in choosing the appropriate parameters to resistance spot welding process.


2014 ◽  
Vol 675-677 ◽  
pp. 23-26
Author(s):  
Nan Nan Wang ◽  
Ran Feng Qiu ◽  
Wei Jian Peng ◽  
Hong Xin Shi

Mild steel Q235 and stainless steel SUS304 were welded using resistance spot welding with an interlayer of Ni. The mechanical properties of the joint were examined, the effects of welding parameters on the nugget size and tensile shear strength were investigated. Both the tensile shear strength and nugget diameter increased with the increasing of welding current and welding time, whereas they decreased with the increasing of electrode pressure. The results indicate that the tensile shear strength of joint welded by resistance spot welding with a Ni interplayer is higher in comparison with that obtained by conventional resistance spot weling.


2015 ◽  
Vol 3 (1) ◽  
pp. 153-160 ◽  
Author(s):  
Sakchai Chantasri ◽  
Pramote Poonnayom ◽  
Jesada Kaewwichit ◽  
Waraporn Roybang ◽  
Kittipong Kimapong

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Thongchai Arunchai ◽  
Kawin Sonthipermpoon ◽  
Phisut Apichayakul ◽  
Kreangsak Tamee

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.


2010 ◽  
Vol 61 (7) ◽  
pp. 684-688 ◽  
Author(s):  
Ranfeng Qiu ◽  
Hongxin Shi ◽  
Keke Zhang ◽  
Yimin Tu ◽  
Chihiro Iwamoto ◽  
...  

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