scholarly journals Pengelasan pada Stainless Steel dengan Tipe yang Berbeda Menggunakan Resistance Spot Welding untuk Aplikasi Gerbong Kereta

2021 ◽  
Vol 16 (3) ◽  
pp. 359
Author(s):  
Mochammad Karim Al Amin ◽  
Suthoni Yoga Firiambodo ◽  
Endang Pudji Purwanti ◽  
Eriek Wahyu Restu Widodo ◽  
Dika Anggara
Keyword(s):  
Stainless Steel ◽  
Shear Strength ◽  
Weld Metal ◽  
Base Metal ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Side Wall ◽  
Resistance Spot ◽  
Columnar Grains ◽  
Weld Time

Salah satu jenis proses pengelasan yang banyak digunakan di dunia industri Kereta Api adalah proses <em>resistance spot welding</em>. Proses pengelasan ini mempunyai banyak keunggulan pada pengelasan pelat tipis dengan menggunakan sambungan tumpang yang diaplikasikan pada <em>side wall</em> kereta api. Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh variasi parameter pengelasan yang meliputi <em>current</em>, <em>weld time</em>, dan <em>pulsation</em> terhadap <em>shear strength</em>, struktur mikro dan diameter <em>nugget</em>. Material yang digunakan adalah material SA-240 tipe 304 dan SA-240 tipe 201 dengan ketebalan 2 mm untuk material SA-240 tipe 304 dan tebal 3 mm untuk material SA-240 tipe 201. Pengujian <em>shear strength</em> diperoleh parameter<em> resistance spot welding</em> semakin tinggi, maka nilai <em>shear strength </em>juga semakin tinggi. Strukturmakro didapatkan semakin tinggi <em>current</em>, <em>weld time</em>, dan <em>pulsation</em>, maka <em>nugget</em> semakin lebar. Sedangkan pada hasil uji mikro pada daerah <em>base metal</em> struktur yang tebentuk adalah <em>austenite</em>, sedangkan pada daerah HAZ dan <em>weld metal</em> adalah struktur <em>ferrit</em> dan <em>austenite</em>. Ukuran butir pada daerah HAZ yang semakin mendekat ke daerah <em>weld metal</em> ukuran butirnya menjadi semakin besar. Struktur mikro yang terbentuk pada <em>weld metal</em> bentuknya memanjang (<em>columnar grains</em>) ke daerah yang mengalami pembekuan paling akhir.

Effect of Cryogenic Treated Electrodes on Sensitization in Resistance Spot Welding of Stainless Steel

2016 ◽  
Vol 1137 ◽  
pp. 15-23 ◽  
Author(s):  
Rupinder Singh ◽  
R. Sharma
Keyword(s):  
Stainless Steel ◽  
Shear Strength ◽  
Flow Rate ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Tensile Shear Strength ◽  
Tensile Shear ◽  
Resistance Spot ◽  
Weld Properties ◽  
Weld Time

The aim of this study is to investigate the effect of cryogenic treated electrodes on the sensitization of ‘304 SS’ in resistance spot welding (RSW). An approach to model sensitization based upon the weld properties like: hardness, tensile-shear strength (T-S), while RSW of 304SS has been proposed and applied. Relationship between hardness, T-S and other parameter has been deduced by using Taguchi L9 orthogonal array (OA). The results indicate that for sensitization; coolant flow rate (CFR), weld time and voltage contributes significantly in RSW of SS.

Resistance Spot Welding between Mild Steel and Stainless Steel

2014 ◽  
Vol 675-677 ◽  
pp. 23-26
Author(s):  
Nan Nan Wang ◽  
Ran Feng Qiu ◽  
Wei Jian Peng ◽  
Hong Xin Shi
Keyword(s):  
Stainless Steel ◽  
Shear Strength ◽  
Mild Steel ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Current ◽  
Welding Parameters ◽  
Tensile Shear Strength ◽  
Tensile Shear ◽  
Resistance Spot

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.

scholarly journals Optimization on Spot Weld Parameters in Resistance Spot Welding Process on AISI 304

2021 ◽  
Vol 11 (3) ◽  
pp. 181-185
Author(s):  
Amit Hazari ◽  
Rith Saha ◽  
Bidisha Ghosh ◽  
Debraj Sengupta ◽  
Sayan Sarkar ◽  
...  
Keyword(s):  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Process ◽  
Welding Current ◽  
Electrical Current ◽  
Industrial Applications ◽  
Spot Weld ◽  
Welding Parameters ◽  
Resistance Spot ◽  
Weld Time

The spot welding procedure is used in a variety of industrial applications. The most critical elements influencing welding quality, productivity, and cost are the spot welding parameters. This research examines the effect of welding factors such as welding current and welding time on the strength of various welding joint designs. Resistance spot welding (RSW) is used in the automotive industry for manufacturing. This research focused on the optimization of process parameters for resistance spot welding (RSW), as well as the tensile testing and spot weld diameter. The goals of this analysis are to comprehend the physics of the process and to demonstrate the effect of electrical current, weld time, and material type on the resistance spot welding process.

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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