Regression Modeling and Process Analysis of Plug and Spot Welds Used in Automotive Body Panel Assembly
- سال انتشار: 1399
- محل انتشار: ماهنامه بین المللی مهندسی، دوره: 33، شماره: 11
- کد COI اختصاصی: JR_IJE-33-11_029
- زبان مقاله: انگلیسی
- تعداد مشاهده: 264
نویسندگان
Department of Teacher Training in Mechanical Engineering, Faculty of Technical Education, King Mongkut۰۳۹;s University of Technology North Bangkok, Bangkok, Thailand
چکیده
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 G۳۱۴۱ 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 ۹ mm and a welding current of ۱۳۶ kA, with a maximum load of ۸.۲ kN. The maximum load of the spot weld joint, ۷.۴ kN, was found at a welding current of ۷۰ kA, an electrode force of ۰.۲۵ MPa, and ۱۰ cycles of welding time.کلیدواژه ها
Automotive body panel, Genetic Algorithm, Plug weld, Spot weld, tensile strengthاطلاعات بیشتر در مورد COI
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