Abstract
In the present work, yield strength, ultimate strength and micro-hardness of the lap joints formed with Al 6061 alloy sheets by using the processes of Tungsten Inert Gas (TIG) welding and Metal Inert Gas (MIG) welding were studied for various combinations of the welding parameters. The parameters taken for study include welding current, voltage, welding speed and inert gas flow rate. Taguchi’s L9 orthogonal array was used to conduct the experiments and an integrated technique of desirability grey relational analysis was disclosed for optimizing the welding parameters. The ignored robustness in desirability approach is compensated by the grey relational approach to predict the optimal setting of input parameters for the TIG and MIG welding processes which were validated through the confirmation experiments.
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V. Balasubramanian, V. Ravisankar, G. Madhusudhan Reddy, Effect of pulsed current welding on mechanical properties of high strength aluminium alloy. Int. J. Adv. Manuf. Technol. 36(3–4), 254–262 (2008)
T. Senthil Kumar, V. Balasubramanian, M.Y. Sanavullah, Influences of pulsed current tungsten inert gas welding parameters on tensile properties of AA6061 aluminium alloy. Mater. Des. 28(7), 2080–2092 (2007)
K. Krishnaiah, P. Shahabudeen, R. Jeyapaul, Quality management research by considering multi-response problems in the Taguchi method—a review. Int. J. Adv. Manuf. Technol. 26(11–12), 1331–1337 (2005)
S. Datta, G. Nandi, A. Bandyopadhyay, P.K. Pal, Application of PCA-based hybrid Taguchi method for correlated multi criteria optimization of submerged arc weld: a case study. Int. J. Adv. Manuf. Technol. 45(3–4), 276–286 (2009)
D.S. Correia, C.V. Gonçalves, S. Simoes da Cunha, V.A. Ferraresi, Comparison between genetic algorithms and response surface methodology in GMAW welding optimization. J. Mater. Sci. Technol. 160(1), 70–76 (2005)
K.Y. Benyounis, A.G. Olabi, Optimization of different welding processes using statistical and numerical approaches—a reference guide. Adv. Eng. Softw. 39(6), 483–496 (2008)
R. Adalarasan, M. Santhanakumar, A. Shanmuga, Sundaram, optimization of weld characteristics of friction welded AA 6061-AA 6351 joints using grey-principal component analysis (G-PCA). J. Mech. Sci. Technol. 28(1), 301–307 (2014)
V. Muthuraman, R. Ramakrishnan, Multi parametric optimization of Wc–Co composites using desirability approach. Procedia Eng. 38, 3381–3390 (2012)
H.C. Lin, C.T. Su, C.C. Wang, B.H. Chang, R.C. Juang, Parameter optimization of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms. Expert Syst. Appl. 39, 12918–12925 (2012)
M. Madic, M. Radovanovic, Application of RCGA-ANN approach for modeling kerf width and surface roughness in CO2 laser cutting of mild steel. J. Braz. Soc. Mech. Sci. 35(2), 103–110 (2013)
A.K. Lakshminarayanan, V. Balasubramanian, K. Elangovan, Effect of welding processes on tensile properties of AA6061 aluminium alloy joints. Int. J. Adv. Manuf. Technol. 40(3–4), 286–296 (2009)
N. Arivazhagan, S. Singh, S. Prakash, G.M. Reddy, Investigation on AISI 304 austenitic stainless steel to AISI 4140 low alloy steel dissimilar joints by gas tungsten arc, electron beam and friction welding. Mater. Des. 32(5), 3036–3050 (2011)
S. Malarvizhi, V. Balasubramanian, Effects of welding processes and post-weld aging treatment on fatigue behavior of AA2219 aluminium alloy joints. J. Mater. Eng. Perform. 20(3), 359–367 (2011)
Q. Wang, D.L. Sun, Y. Na, Y. Zhou, X.L. Han, J. Wang, Effects of TIG welding parameters on morphology and mechanical properties of welded joint of Ni-base superalloy. Procedia Eng. 10, 37–41 (2011)
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Adalarasan, R., Santhanakumar, M. Parameter Design in Fusion Welding of AA 6061 Aluminium Alloy using Desirability Grey Relational Analysis (DGRA) Method. J. Inst. Eng. India Ser. C 96, 57–63 (2015). https://doi.org/10.1007/s40032-014-0128-y
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DOI: https://doi.org/10.1007/s40032-014-0128-y