Effect of interlayer in dissimilar metal of stainless steel SS 301 and aluminum alloy AA 1100 using micro resistance spot welding

2018 ◽  
Author(s):  
Ario Sunar Baskoro ◽  
Hakam Muzakki ◽  
Gandjar Kiswanto ◽  
Winarto
Keyword(s):  
Stainless Steel ◽  
Aluminum Alloy ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Resistance Spot ◽  
Dissimilar Metal

Resistance Spot Welding between Titanium and Stainless Steel with an Aluminum Alloy Insert

2011 ◽  
Vol 291-294 ◽  
pp. 964-967 ◽  
Author(s):  
Yi Min Tu ◽  
Ran Feng Qiu ◽  
Hong Xin Shi ◽  
Xin Zhang ◽  
Ke Ke Zhang
Keyword(s):  
Stainless Steel ◽  
Aluminum Alloy ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Pure Titanium ◽  
Welding Current ◽  
Interfacial Microstructure ◽  
Commercially Pure Titanium ◽  
Resistance Spot ◽  
Commercially Pure

The resistance spot welding between commercially pure titanium and stainless steel was achieved using an aluminum alloy insert. The interfacial microstructure and mechanical properties of the joint were investigated. The maximum tensile shear load of 5.38 kN was obtained from the Ti/SUS304 joint welded at the welding current of 10 KA. The results reveal that the property of the Ti/SUS304 joint can be improved by using an aluminum alloy insert between Ti and SUS304 sheet.

Dissimilar metals joining of steel and aluminum alloy by resistance spot welding

2014 ◽  
Vol 32 (2) ◽  
pp. 83-94 ◽  
Author(s):  
Kenji MIYAMOTO ◽  
Shigeyuki NAKAGAWA ◽  
Chika SUGI ◽  
Kenji TSUSHIMA ◽  
Shingo IWATANI ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Dissimilar Metals ◽  
Resistance Spot

scholarly journals Effect of Resistance Spot Welding Parameters on AA1100 Aluminum Alloy and SGACD Zinc coated Lap Joint Properties

2015 ◽  
Vol 3 (1) ◽  
pp. 153-160 ◽  
Author(s):  
Sakchai Chantasri ◽  
Pramote Poonnayom ◽  
Jesada Kaewwichit ◽  
Waraporn Roybang ◽  
Kittipong Kimapong
Keyword(s):  
Aluminum Alloy ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Parameters ◽  
Lap Joint ◽  
Resistance Spot ◽  
Joint Properties ◽  
Aa1100 Aluminum Alloy

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.

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