Title of article :
Regression Modeling and Process Analysis of Plug and Spot Welds Used in Automotive Body Panel Assembly
Author/Authors :
Saeheaw, T. Department of Teacher Training in Mechanical Engineering - Faculty of Technical Education - King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
Abstract :
Resistance spot welding is the primary welding process used in automotive body panel assembly.
However, plug welding is widely used in automotive body repair due to its technical simplicity and
cost benefits. In this paper, spot welding and plug welding using Tungsten Inert Gas (TIG) welding of
an automotive body panel are compared. TIG welding is selected for plug welding because it offers the
greatest flexibility to weld the widest range of materials, thicknesses, and types. The base material used
in this study is JIS G3141 SPCC. Full factorial experimental design coupled with statistical and
graphical analysis of the results using analysis of variance was applied to determine the significance of
process parameters. Parameter interactions were investigated using regression analysis, model
adequacy checks, and determination of optimum conditions. A genetic algorithm is used to predict the
optimum combination of the process parameters to realize the highest strength level. For tensile-shear
strength, the experimental results demonstrate that plug welding has a higher maximum load than spot
welding. The optimum plug welding joints were obtained at a hole diameter of 9 mm and a welding
current of 136 kA, with a maximum load of 8.2 kN. The maximum load of the spot weld joint, 7.4 kN,
was found at a welding current of 70 kA, an electrode force of 0.25 MPa, and 10 cycles of welding
time.
Keywords :
Automotive Body Panel , Genetic Algorithm , Plug Weld , Spot Weld , Tensile Strength
Journal title :
International Journal of Engineering