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

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-object...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2013-12, Vol.24 (6), p.1175-1183
Main Authors: Muhammad, Norasiah, Manurung, Yupiter H. P., Jaafar, Roseleena, Abas, Sunhaji Kiyai, Tham, Ghalib, Haruman, Esa
Format: Article
Language:English
Subjects:
Business and Management
Control
Design of experiments
Focusing
Friction stir welding
Galvanized steel
Integrated approach
Investigations
Lasers
Machines
Manufacturing
Mathematical models
Mechatronics
Optimization
Processes
Production
Regression analysis
Robotics
Shear strength
Statistical methods
Taguchi methods
Tensile strength
Variance analysis
Welding
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Summary: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.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-012-0648-3