Effects of welding current and torch position parameters on bead geometry in cold metal transfer welding
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This study investigated the effects of welding current and torch position parameters, including torch-aiming position, travel angle, and work angle, on bead geometry in single-lap joint gas metal arc (GMA) welding. High-speed filming and macrographs of weld cross section were used to observe the effect of each welding parameter on the properties of the bead geometry, including penetration, leg length, and toe angle. Response surface methodology was used to establish the relationship between the welding parameters and properties of bead geometry and to estimate regression models for predicting bead geometry. Both welding current and torch-aiming position were found to have significant effects on bead geometry, with strong linearity between them and bead geometry. The coefficient of determination (R2) of the estimated response surface models was 0.7226 for penetration, 0.8802 for leg length, and 0.8706 for toe angle. Further, experimental results indicate that the estimated models are very effective.
KeywordsGalvannealed hot-rolled steel Gas metal arc welding Torch position parameter Weld bead geometry Welding current
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- M. S. Agrawal, Finite element analysis of truck chassis frame, International Research Journal of Engineering and Technology, 2 (3) (2015) 1949–1956.Google Scholar
- Y. Murakami, The rainflow method in fatigue: The tatsuo endo memorial volume, First Ed., Butterworth-Heinemann Ltd, Oxford, UK (1992).Google Scholar
- J. A. Bannantine, J. J. Comer and J. L. Handrock, Fundamentals of metal fatigue analysis, First Ed., Prentice Hall, New Jersey, USA (1990).Google Scholar
- Md. R. U. Ahsan, Y. R. Kim, R. Ashiri, Y. J. Cho, C. J. Eong and Y. D. Park, Cold metal transfer (CMT) GMAW of zinc-coated steel, Welding Journal, 95 (4) (2016) 120–132.Google Scholar
- AWS D8.8M:2014, Specification for automotive weld quality-Arc welding of steel.Google Scholar
- P. E. Murray, Selecting parameters for GMAW using dimensional analysis, Welding Journal, 81 (7) (2002) 125/S–131/S.Google Scholar
- D. T. Thao, J. W. Jeong, I. S. Kim and J. W. H. J. Kim, Predicting lap-joint bead geometry in GMA welding process, Archives of Materials Science and Engineering, 32 (2) (2008) 121–124.Google Scholar
- R. R. Chakule, S. S. Chaudhari and P. S. Talmale, Evaluation of the effects of machining parameters on MQL based surface grinding process using response surface methodology, Journal of Mechanical Science and Technology, 31 (8) 3907–3916.Google Scholar