scholarly journals Optimization of the Process Parameters of Resistance Spot Welding of AISI 316l Sheets Using Taguchi Method

2019 ◽  
Vol 23 (1) ◽  
pp. 64-69
Author(s):  
P. Muthu
Keyword(s):  
Shear Stress ◽  
Taguchi Method ◽  
Process Parameters ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Sheet Thickness ◽  
Experimental Investigations ◽  
Tensile Shear ◽  
Optimal Process ◽  
Resistance Spot

Abstract Resistance spot welding (RSW) is a fabrication process that is being used in the automobile and aerospace industry since many years for joining low carbon or “mild” steel. Quality and strength of the welds depend upon the process parameters of RSW. The most effective parameters in this process are: current intensity, welding time, sheet thickness and material, geometry of electrodes, electrode force, and current shunting. This paper presents the experimental investigations for the optimization of tensile shear stress of RSW for stainless steel grade 316L sheets by using Taguchi method. The experiments were conducted using Taguchi’s L27 orthogonal array under varying process parameters, namely electrode diameter, welding current, and heating time. The experimental data were analyzed using signal-to-noise ratio (S/N ratio) to find the optimal process parameters. Analysis of variance (ANOVA) and F test were used to find the most significant parameters affecting the spot weld quality characteristics. Confirmation tests with optimal process parameters were conducted to validate the test results. From the results, it was found that it is possible to increase tensile shear stress significantly.

STRENGTH CHARACTERISTICS ON RESISTANCE SPOT WELDING OF Al ALLOY SHEETS BY TAGUCHI METHOD

2006 ◽  
Vol 20 (25n27) ◽  
pp. 4297-4302 ◽  
Author(s):  
HAN-KI YOON ◽  
BYEONG-HYEON MIN ◽  
CHIL-SOON LEE ◽  
DO-HYOUNG KIM ◽  
YOUN-KYOUM KIM ◽  
...  
Keyword(s):  
Experimental Design ◽  
Taguchi Method ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Current ◽  
Al Alloy ◽  
Welding Time ◽  
Tensile Shear ◽  
Resistance Spot ◽  
Electrode Force

Optimal welding condition in resistance spot welding of 7075-T6 aluminum alloy sheets with the thickness of 0.4mm was investigated by the tensile-shear strength tests and Taguchi method in experimental design with changing various welding conditions respectively. The tensile-shear tests were carried out at cross-head speeds of 0.1mm/min in accordance with the KS B0851. Design methods were systematically performed using an L27(39) orthogonal array table. In the experimental design, three control factors of resistance spot welding conditions were electrode force, welding current and welding time. Electrode force conditions were 882N, 1323N and 1764N, and welding current were 13.5kA, 14kA and 14.5kA, and welding time were 3cycle, 4cycle and 5cycle.

Understanding the Parameters Controlling the Resistance Spot Welding of DP980 Steel

2015 ◽  
Vol 787 ◽  
pp. 411-415
Author(s):  
G. Manimaran ◽  
A.K. Lakshminarayanan ◽  
S. Balaji
Keyword(s):  
Process Parameters ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Shear Failure ◽  
Failure Load ◽  
Tensile Shear ◽  
Resistance Spot ◽  
Nugget Diameter ◽  
Electrode Force ◽  
Dp980 Steel

Empirical relationships were developed between the resistance spot welding process parameters (i.e. power, time and electrode force) and quality characteristics (i.e., tensile shear failure load and nugget diameter) of resistance spot welded DP980 steel joints. Further, the process parameters were optimized to get maximum tensile shear failure load and optimum nugget diameter. It is observed that, the electrode force of 4.25 kg/cm2, power of 70 kW and welding time of 3.5 sec yielded a maximum tensile shear failure load of 39 kN with an optimum weld nugget diameter of 4.58 mm.

Resistance Spot Welding in Non-Combustible Magnesium Alloy

2020 ◽  
Author(s):  
Xuanyi Shao ◽  
Yukio Miyashita ◽  
Duriyathep Panwised ◽  
Rattana Borrisutthekul
Keyword(s):  
Magnesium Alloy ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Shear Test ◽  
Dissimilar Materials ◽  
Maximum Load ◽  
Tensile Shear ◽  
Similar Material ◽  
Resistance Spot ◽  
Surface Polishing

Abstract Resistance spot welding (RSW) was applied to non-combustible magnesium alloy, AX41 (Mg-4%Al-1%Ca) to investigate its weldability. The similar material joint of AX41 and dissimilar materials joint between AX41 and aluminum alloy, AA6061 were welded. Tensile shear test was carried out to evaluate joining strength in the similar and dissimilar materials RSW joints. In case of similar material joints, the maximum load obtained with tensile shear test in AX41 similar material joint was higher than that obtained in AA6061 similar material joint. Moreover, higher maximum load was obtained in a similar material joint without surface polishing compared to joint welded with surface polishing in AX41. In case of the dissimilar materials joint, the maximum load obtained was almost comparable with AX41 similar material joint, however scatter in joint strength was large. Weldability of the dissimilar materials joint became poor by applying surface polishing.

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.

Expulsion Intensity Monitoring and Modeling in Resistance Spot Welding Based on Electrode Displacement Signals

2020 ◽  
Author(s):  
Yu-Jun Xia ◽  
Yan Shen ◽  
Lang Zhou ◽  
Yong-Bing Li
Keyword(s):  
Resistance Spot Welding ◽  
Spot Welding ◽  
Low Carbon Steel ◽  
Sheet Thickness ◽  
High Strength Steels ◽  
High Strength ◽  
Material Strength ◽  
Low Carbon ◽  
Resistance Spot ◽  
Electrode Displacement

Abstract Weld expulsion is one of the most common welding defects during resistance spot welding (RSW) process especially for high strength steels (HSS). In order to control and eventually eliminate weld expulsion in production, accurate assessment of the expulsion severity should be the first step and is urgently required. Among the existing methods, real-time monitoring of RSW-related process signals has become a promising approach to actualize the online evaluation of weld expulsion. However, the inherent correlation between the process signals and the expulsion intensity is still unclear. In this work, a commonly used process signal, namely the electrode displacement and its instantaneous behavior when expulsion occurs are systematically studied. Based upon experiments with various electrodes and workpieces, a nonlinear relation between the weight of expelled metal and the sudden displacement drop accompanied by the occurrence of weld expulsion is observed, which is mainly influenced by electrode tip geometry but not by material strength or sheet thickness. The intrinsic relationship between this specific signal feature and the magnitude of expulsion is further explored through geometrical analysis, and a modified analytical model for online expulsion evaluation is finally proposed. It is shown that the improved model could be applied to domed electrodes with different tip geometries and varying workpieces ranging from low carbon steel to HSS. The error of expulsion estimation could be limited within ±20.4 mg (±2σ) at a 95% confidence level. This study may contribute to the online control of weld expulsion to the minimum level.

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