Friction stir welding: multi-response optimisation using Taguchi-based GRA

References

• Aydin, H., Tutar, M., Durmuş, A., Bayram, A., & Sayaca, T. (2012). Effect of welding parameters on tensile properties and fatigue behavior of friction stir welded 2014-T6 aluminum alloy. Transactions of the Indian Institute of Metals, 65, 21–30.10.1007/s12666-011-0069-6
   Web of Science ®Google Scholar
• Bagheri Hariri, M., Gholami Shiri, S., Yaghoubinezhad, Y., & Mohammadi Rahvard, M. (2013). The optimum combination of tool rotation rate and traveling speed for obtaining the preferable corrosion behavior and mechanical properties of friction stir welded AA5052 aluminum alloy. Materials & Design, 50, 620–634.10.1016/j.matdes.2013.03.027
   Web of Science ®Google Scholar
• Cavaliere, P. (2013). Friction stir welding of Al alloys: Analysis of processing parameters affecting mechanical behavior. Procedia CIRP, 11, 139–144.10.1016/j.procir.2013.07.039
   Google Scholar
• Çaydaş, U., & Hasçalık, A. (2008). Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics. Optics & Laser Technology, 40, 987–994.
   Web of Science ®Google Scholar
• Ghetiya, N. D., Patel, K. M., & Kavar, A. J. (2016). Multi-objective optimization of FSW process parameters of aluminium alloy using taguchi-based grey relational analysis. Transactions of the Indian Institute of Metals, 69, 917–923.10.1007/s12666-015-0581-1
   Web of Science ®Google Scholar
• Gupta, M., & Kumar, S. (2013). Multi-objective optimization of cutting parameters in turning using grey relational analysis. International Journal of Industrial Engineering Computations, 4, 547–558.
   Google Scholar
• Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1, 288–294.10.1016/S0167-6911(82)80025-X
   Web of Science ®Google Scholar
• Kasman, S. (2013). Multi-response optimization using the Taguchi-based grey relational analysis: A case study for dissimilar friction stir butt welding of AA6082-T6/AA5754-H111. The International Journal of Advanced Manufacturing Technology, 68, 795–804.10.1007/s00170-012-4720-0
   Web of Science ®Google Scholar
• Kesharwani, R. K., Panda, S. K., & Pal, S. K. (2014). Multi-objective optimization of friction stir welding parameters for joining of two dissimilar thin aluminum sheets. Procedia Materials Science, 6, 178–187.10.1016/j.mspro.2014.07.022
   Google Scholar
• Kevorkijan, V. (2002). Economic benefits of the substitution of traditional cast iron and steel by aluminium and magnesium based material in automotive segment. Metalurgija, 8, 251–258.
   Google Scholar
• Khodaverdizadeh, H., Mahmoudi, A., Heidarzadeh, A., & Nazari, E. (2012). Effect of friction stir welding (FSW) parameters on strain hardening behavior of pure copper joints. Materials & Design, 35, 330–334.10.1016/j.matdes.2011.09.058
   Web of Science ®Google Scholar
• Kumar, K., & Kailas, S. V. (2008). On the role of axial load and the effect of interface position on the tensile strength of a friction stir welded aluminium alloy. Materials & Design, 29, 791–797.10.1016/j.matdes.2007.01.012
   Web of Science ®Google Scholar
• Kumar, S. S., Balaji, V. N., & Prrithvi, P. M. (2014). Influence of residual stress on stress intensity factor estimation of multiple cracks in a dissimilar welded joint. Procedia Engineering, 86, 234–241.10.1016/j.proeng.2014.11.033
   Google Scholar
• Kundu, J., & Singh, H. (2016). Friction stir welding of dissimilar Al alloys: Effect of process parameters on mechanical properties. Engineering Solid Mechanics, 4, 125–132.10.5267/j.esm.2016.2.001
   Google Scholar
• Kuram, E., & Ozcelik, B. (2013). Multi-objective optimization using Taguchi based grey relational analysis for micro-milling of Al 7075 material with ball nose end mill. Measurement, 46, 1849–1864.10.1016/j.measurement.2013.02.002
   Web of Science ®Google Scholar
• Praveen, P., & Yarlagadda, P. K. D. V. (2005). Meeting challenges in welding of aluminum alloys through pulse gas metal arc welding. Journal of Materials Processing Technology, 164–165, 1106–1112.10.1016/j.jmatprotec.2005.02.224
   Web of Science ®Google Scholar
• Singh, H., & Kumar, P. (2006a). Optimizing feed force for turned parts through the Taguchi technique. Sadhana, 31, 671–681.10.1007/BF02716887
   Web of Science ®Google Scholar
• Singh, H., & Kumar, P. (2006b). Optimizing multi-machining characteristics through Taguchi’s approach and utility concept. Journal of Manufacturing Technology Management, 17, 255–274.10.1108/17410380610642304
   Google Scholar
• Singh, P. N., Raghukandan, K., & Pai, B. C. (2004). Optimization by Grey relational analysis of EDM parameters on machining Al–10%SiCP composites. Journal of Materials Processing Technology, 155–156, 1658–1661.10.1016/j.jmatprotec.2004.04.322
   Web of Science ®Google Scholar
• Taban, E., & Kaluc, E. (2006). Microstructural and mechanical properties of double-sided MIG, TIG and friction stir welded 5083-H321 aluminium alloy. Metallic Material, 44, 25–33.
   Web of Science ®Google Scholar
• Tosun, N. (2005). Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 28, 450–455.
   Web of Science ®Google Scholar
• Verma, S., & Misra, J. P. (2015). A critical review of friction stir welding process. DAAAM International Scientific Book, Chapter 22, 249–266.
   Google Scholar