Investigation on dissimilar welding of AISI 409 ferritic stainless steel to AISI 316L austenitic stainless steel by using grey based Taguchi method

References

• Rakesh, C., Riddhish, P., Asha, I. Reliability of dissimilar metal joints using fusion welding: a review. International conference on machine learning, electrical and mechanical engineering, January 8–9, Dubai (UAE); 2014.
   Google Scholar
• Taban, E., Deleu, E., Dhooge, A., et al. Evaluation of Dissimilar Welds between Ferritic Stainless Steel Modified 12% Cr and Carbon Steel S355. Am Weld Soc Weld Res J, 2012; 87(12), 291–297.
   Google Scholar
• Kim JK, Hong SG, Kang KB, et al. Microstructure and high temperature properties of the dissimilar weld between ferritic stainless steel and carbon steel. Met Mater Int. 2009;15(5):843–849.10.1007/s12540-009-0843-0
   Web of Science ®Google Scholar
• Tasalloti H, Kah P, Martikainen J. Effects of welding wire and torch weaving on GMAW of S355MC and AISI 304L dissimilar welds. Int J Adv Manuf Technol. 2014;71:197–205.10.1007/s00170-013-5484-x
   Web of Science ®Google Scholar
• Rosado LS, Santos TG, Piedade M, et al. Advanced technique for non-destructive testing of friction stir welding of metals. J Meas. 2010;43:1021–1030.10.1016/j.measurement.2010.02.006
   Web of Science ®Google Scholar
• Hu B, Yu R, Zou H. Magnetic non-destructive testing methods for thin – plates aluminium alloys. NDT&E Int. 2012;47:66–69.
   Web of Science ®Google Scholar
• Yilmaz R, Uzun H. Mechanical properties of austenitic stainless steels welded by GMAW and GTAW. J Marmara Pure Appl Sci. 2002;18:97–113.
   Google Scholar
• Murugan N, Parmar RS. Effects of MIG process parameters on the geometry of the bead in the automatic surfacing of stainless steel. J Mater Process Technol. 1994;41(4):381–398.10.1016/0924-0136(94)90003-5
   Web of Science ®Google Scholar
• Kim IS, Basu A, Siores E. Mathematical models for control of weld bead penetration in the GMAW process. Int J Adv Manuf Technol. 1996;12(6):393–401.10.1007/BF01186927
   Web of Science ®Google Scholar
• Rao PS, Gupta OP, Murty SN, et al. Effect of process parameters and mathematical model for the prediction of bead geometry in pulsed GMA welding. Int J Adv Manuf Technol. 2009;45(5–6):496–505.10.1007/s00170-009-1991-1
   Web of Science ®Google Scholar
• Nagesh DS, Datta GL. Modeling of fillet welded joint of GMAW process: integrated approach using DOE, ANN and GA. Int J Integrated Manuf. 2008;2:127–136.10.1007/s12008-008-0042-8
   Google Scholar
• Kim D, Rhee S, Park H. Modelling and optimization of a GMA welding process by genetic algorithm and response surface methodology. Int J Prod Res. 2002;40(7):1699–1711.10.1080/00207540110119964
   Web of Science ®Google Scholar
• Gunaraj V, Murugan N. Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes. J Mater Process Technol. 1999;88:266–275.10.1016/S0924-0136(98)00405-1
   Web of Science ®Google Scholar
• Juang SC, Tarng YS, Lii HR. A comparison between the back-propagation and counter-propagation networks in the modeling of the TIG welding process. J Mater Process Technol. 1998;75(1–3):54–62. doi:10.1016/S0924-0136(97)00292-6.
   Web of Science ®Google Scholar
• Nagesh DS, Datta GL. Prediction of weld bead geometry and penetration in shielded arc welding using artificial neural networks. J Matr Proc Tech. 2002;123(2):303–312.10.1016/S0924-0136(02)00101-2
   Web of Science ®Google Scholar
• Kim LS, Park CE, Jeong YJ, et al. Development of an intelligent system for selection of the process variables in gas metal arc welding processes. Int J Adv Manuf Technol. 2001;18:98–102.10.1007/s001700170080
   Web of Science ®Google Scholar
• Tarng YS, Yang WH, Juang SC. The use of fuzzy logic in the Taguchi method for the optimization of the submerged arc welding process. Int J Adv Manuf Technol. 2000;16:688–694.10.1007/s001700070040
   Web of Science ®Google Scholar
• Tarng YS, Juang SC, Chang CH. The use of grey –based Taguchi methods to determine submerged arc welding process parameters in hardfacing. J Mater Process Technol. 2002;128:1–6.10.1016/S0924-0136(01)01261-4
   Web of Science ®Google Scholar
• Juang SC, Tarng YS. Process parameters selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel. J Mater Process Technol. 2002;122:33–37.10.1016/S0924-0136(02)00021-3
   Web of Science ®Google Scholar
• Lee HK, Han HS, Son kJ, et al. Optimization of Nd-YAG laser welding parameters for sealing small titanium tube ends. Mater Sci Eng. 2006;415:149–155.10.1016/j.msea.2005.09.059
   Google Scholar
• Parmar RS. Welding processes and technology. 2nd ed. New Delhi: Khanna Publications; 1997.
   Google Scholar
• Khanna OP. Welding technology. New Delhi: Dhanpat Rai & Sons; 1986.
   Google Scholar
• Ghosh A, Mallik AK. Manufacturing science. New Delhi: East-West Press Private Limited; 2008.
   Google Scholar
• Little RL. Welding and welding technology. New York, NY: McGraw Hill Book Company; 1973.
   Google Scholar