Hybrid Taguchi-PCA-utility approach for simultaneous optimisation of multiple responses in turning alloy steel

References

• Zaman PB, Tusar MIH, Dhar NR, et al. Selection of appropriate process inputs for turninTi-6Al-4V alloy under hybrid Al2O3-MWCNT nano-fluid based MQL. Adv Mater Process Technol. 2020a;1–21.
   Google Scholar
• Sultana MN, Dhar NR, Zaman PB, et al. A review on different cooling/lubrication techniques in metal cutting. American J Mech Appl. 2019;7(4):71–87.
   Google Scholar
• Dhar NR, Kamruzzaman M. Cutting temperature, tool wear, surface roughness and dimensional deviation in turning AISI-4037 steel under cryogenic condition. Int J Mach Tools Manuf. 2007;47(5):754–759.
   Google Scholar
• Sultana MN, Dhar NR. Optimization of cryogenic assisted turning characteristics using hybrid Taguchi-GRA-PCA and modified weighted TOPSIS with regression analysis. Arch Mech Eng. 2021;68(1):1–27.
   Google Scholar
• Uysal A, Caudill JR, Schoop J, et al. Minimising carbon emissions and machining costs with improved human health in sustainable machining of austenitic stainless steel through multi-objective optimization. Int J Sustain Manuf. 2020;4(2–4):281–299.
   Google Scholar
• Sultana MN, Zaman PB, Dhar NR, et al. GRA-PCA coupled with Taguchi for optimization of inputs in turning under cryogenic cooling for AISI 4140 steel. J Prod Sys Manuf Sci. 2020;1(2):40–62.
   Google Scholar
• Dhar NR, Kamruzzaman M, Khan MMA, et al. Effects of cryogenic cooling by liquid nitrogen jets on tool wear, surface finish and dimensional deviation in turning different steels. Int J Mach Mach Mater. 2006(b);1(1):115–131.
   Google Scholar
• Fredj NB, Sidhom H, Braham C, et al. Ground surface improvement of the austenitic stainless steel AISI 304 using cryogenic cooling. Surf Coat Technol. 2006;200(16–17):4846–4860.
   Google Scholar
• Umbrello D, Micari F, Jawahir IS, et al. The effects of cryogenic cooling on surface integrity in hard machining: a comparison with dry machining. CIRP Ann Manuf Technol. 2012;61(1):103–106.
   Google Scholar
• Halim NHA, Haron CHC, Ghani JA, et al. Machining-induced microstructure of inconel 718 in cryogenic environment. Prog Ind Ecol: an Int J. 2018;12(3):234–246.
   Google Scholar
• Dhananchezian M, Kumar MP. Experimental investigation of cryogenic cooling by liquid nitrogen in the orthogonal machining of aluminium 6061-T6 alloy. Int J Mach Mach Mater. 2010;7(3–4):274–285.
   Google Scholar
• Soni SK, Singh V, Sahoo AK, et al. Improvement in grinding of composite ceramic by using cryogenic cooling technique. Int J manuf technol manag. 2012;25(1–3):60–77.
   Google Scholar
• Nie GC, Zhang XM, Zhang D, et al. An experimental study of the white layer formation during cryogenic assisted hard machining of AISI 52100 steel. Procedia CIRP. 2018;77:223–226.
   Google Scholar
• Dhananchezian M. Study the machinability characteristics of Nickel based Hastelloy C-276 under cryogenic cooling. Measurement. 2019;136:694–702.
   Google Scholar
• Tlhabadira I, Daniyan IA, Machaka R, et al. Modelling and optimization of surface roughness during AISI P20 milling process using Taguchi method. Int J Adv Manuf Technol. 2019;102(9–12):3707–3718.
   Google Scholar
• Gupta MK, Sood PK. Optimizing multi characteristics in machining of AISI 4340 steel using Taguchi’s approach and utility concept. J Inst Eng (India): Ser C. 2016;97(1):63–69.
   Google Scholar
• Kumar Y, Singh H. Multi-response optimization in dry turning process using Taguchi’s approach and utility concept. Procedia Mater Sci. 2014;5:2142–2151.
   Google Scholar
• Zaman PB, Saha S, Dhar NR, et al. Hybrid Taguchi-GRA-PCA approach for multi-response optimisation of turning process parameters under HPC condition. Int J Mach Mach Mater. 2020b;22(3–4):281–308.
   Google Scholar
• Selvam MD, Senthil P, Sivaram NM, et al. Parametric optimisation for surface roughness of AISI 4340 steel during turning under near dry machining condition. Int J Mach Mach Mater. 2017;19(6):554–569.
   Google Scholar
• Dennison MS, Sivaram NM, Barik D, et al. Turning operation of AISI 4340 steel in flooded, near-dry and dry conditions: a comparative study on tool-work interface temperature. Mech Mech Eng. 2019;23(1):172–182.
   Google Scholar
• Dinesh S. Investigation and optimization of machining parameters in processing AISI 4340 alloy steel with electric discharge machining. Int J Pure Appl Math. 2017;117(16):385–391.
   Google Scholar
• Patole PB, Kulkarni VV. Experimental investigation and optimization of cutting parameters with multi response characteristics in MQL turning of AISI 4340 using nano fluid. Cog Eng. 2017;4(1):1303956.
   Google Scholar
• Mia M. Mathematical modeling and optimization of MQL assisted end milling characteristics based on RSM and Taguchi method. Measurement. 2018;121:249–260.
   Google Scholar
• Singh H, Kumar P. Optimizing multi-machining characteristics through Taguchi’s approach and utility concept. J Manuf Technol Manag. 2006;17(2):255–274.
   Google Scholar
• GoyalT, Walia RS, Sidhu TS, et al. Taguchi and utility based concept for determining optimal process parameters of cold sprayed coatings for multiple responses. Int J Inter Des Manuf. 2017;11(4):761–769.
   Google Scholar
• Patel GM, Kumar RS, Naidu NS, et al. Optimization of Abrasive Water Jet Machining for Green Composites Using Multi-variant Hybrid Techniques. In: Opt Manuf Proc. Cham: Springer; 2020. p. 129–162.
   Google Scholar
• Mia M, Dhar NR. Optimization of surface roughness and cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method. Int J Adv Manuf Technol. 2017;88(1–4):739–753.
   Google Scholar
• Ganta V, SagarKS, ChakradharD, eal. Multi objective optimisation of thermally enhanced machining parameters of inconel 718 using grey relational analysis. Int JMach Mach Mater. 2016;19(1):57.
   Google Scholar