Model development for quality features of resistance spot welding using multi-objective Taguchi method and response surface methodology

Authors:
Norasiah Muhammad;Yupiter H. Manurung;Roseleena Jaafar;Sunhaji Kiyai Abas;Ghalib Tham;Esa Haruman
Affiliations:
Faculty of Mechanical Engineering, MARA University of Technology (UiTM), Shah Alam, Malaysia 40450;Faculty of Mechanical Engineering, MARA University of Technology (UiTM), Shah Alam, Malaysia 40450;Faculty of Mechanical Engineering, MARA University of Technology (UiTM), Shah Alam, Malaysia 40450;Faculty of Mechanical Engineering, MARA University of Technology (UiTM), Shah Alam, Malaysia 40450;Faculty of Mechanical Engineering, MARA University of Technology (UiTM), Shah Alam, Malaysia 40450;Faculty of Mechanical Engineering, MARA University of Technology (UiTM), Shah Alam, Malaysia 40450 and Bakrie University, Jakarta, Indonesia
Venue:
Journal of Intelligent Manufacturing
Year:
2013

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Abstract

In this research, the effect of parameters in Resistance Spot Welding (RSW) on the weld zone development was first investigated using Taguchi Method. Further, the RSW parameters were to be optimized based on multiple quality features, focusing on weld nugget and Heat Affected Zone using multi-objective Taguchi Method (MTM). The optimum welding parameter for MTM was obtained using Multi Signal to Noise Ratio and the significant level was further analyzed using Analysis of Variance. Lastly, Response Surface Methodology was employed to develop the mathematical model for predicting the weld zone development. The experimental study was conducted under varied welding current, weld time and hold time. To validate the predicted model, experimental confirmation test was conducted for plate thickness of 1 and 1.5 mm. Based on the results, the developed model can be effectively used to predict the size of weld zone which can improve the welding quality and performance in RSW.