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Research Article

On Solving Parametric Optimization Problem of an End Milling Process for Machining of Al 1070 using MCDM Techniques: A Comparative Analysis

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Pages 2421-2443 | Accepted 16 May 2023, Published online: 27 May 2023

References

  • Jahanmir S, Ramulu M, Koshy P. Machining of ceramics and composites. New York: Marcel Dekker, Inc; 2000.
  • Smith WF. Principles of materials science and engineering. USA: MacGraw-Hill; 1990.
  • Mia M. Multi-response optimization of end milling parameters under through-tool cryogenic cooling condition. Measurement. 2017;111:134–145.
  • Li C, Li L, Tang Y, et al. A comprehensive approach to parameters optimization of energy-aware CNC milling. J Intell Manuf. 2019;30(1):123–138.
  • Dubey A, Pathak D, Chandra N, et al. A parametric design study of end milling operation using grey based Taguchi method. Int J Emerging Technol Adv Eng. 2008;4(4):1140–1146.
  • Rawangwong S, Chatthong J, Burapa R, et al. An investigation of optimum cutting conditions in face milling aluminum 7075-T6 using design of experiment. Lecture Notes Manage Sci. 2012;4:125–135.
  • Gopal PM, Soorya Prakash K. Minimization of cutting force, temperature and surface roughness through GRA, TOPSIS and Taguchi techniques in end milling of Mg hybrid MMC. Measurement. 2018;116:178–192.
  • Zeelanbasha N, Senthil V, Mahesh G. A hybrid approach of NSGA-II and TOPSIS for minimising vibration and surface roughness in machining process. Int J Oper Res. 2020;38(2):221–254.
  • Kumar J, Verma RK. Experimental investigations and multiple criteria optimization during milling of graphene oxide (GO) doped epoxy/CFRP composites using TOPSIS-AHP hybrid module. FME Trans. 2020;48(3):628–635.
  • Du S, Chen M, Xie L, et al. Optimization of process parameters in the high-speed milling of titanium alloy TB17 for surface integrity by the Taguchi-grey relational analysis method. Adv Mech Eng. 2016;8(10):1–12.
  • Jomaa W, Lévesque J, Bocher P, et al. Optimization study of dry peripheral milling process for improving aeronautical part integrity using grey relational analysis. Int J Adv Manuf Technol. 2017;91(1–4):931–942.
  • Parvez W, Kumar V. Multi response optimization using gray relation analysis for milling zirconia ceramic material. J Emerg Technol Innov Res. 2018;5(8):523–528.
  • Kumar MB, Sathiya P, Parameshwaran R. Parameters optimization for end milling of Al7075-ZrO2-C metal matrix composites using GRA and ANOVA. Trans Indian Inst Met. 2020;73(11):2931–2946.
  • Wang Z, Li L. Optimization of process parameters for surface roughness and tool wear in milling TC17 alloy using Taguchi with grey relational analysis. Adv Mech Eng. 2021;13(2):1–8.
  • Gadakh VS. Application of MOORA method for parametric optimization of milling process. Int J Appl Eng Res. 2011;1(4):743–758.
  • Gadakh VS, Shinde VB. Selection of cutting parameters in side milling operation using graph theory and matrix approach. Int J Adv Manuf Technol. 2011;56(9–12):857–863.
  • Sofuoğlu MA, Orak S. A novel hybrid multi criteria decision making model: application to turning operations. Int J Int Syst Appl Eng. 2017;3(5):124–131.
  • Çakır FH, Sofuoğlu MA, Gürgen S. Machining of Hastelloy-X based on finite element modelling. Adv Engine Forum. 2019;30:1–7.
  • Sofuoğlu MA, Arapoğlu RA, Orak S. Multi objective optimization of turning operation using hybrid decision making analysis. Anadolu Univ J Sci Technol A- Appl Sci Eng. 2017;18(3):595–610.
  • Panchagnula KK, Sharma JP, Kalita K, et al. CoCoSo method-based optimization of cryogenic drilling on multi-walled carbon nanotubes reinforced composites. Int J Interact Design Manufact. 2022;17(1):279–297.
  • Osmond R, Mollahoseini Z, Singh J, et al. A group multicriteria decision making with ANOVA to select optimum parameters of drilling flax fibre composites: a case study. Composites Part C. 2021;5:100156.
  • Kalita K, Pal S, Haldar S, et al. A hybrid TOPSIS-PR-GWO approach for multi-objective process parameter optimization. Process Integ Optim Sustain. 2022;6(4):1011–1026.
  • Singh A, Ghadai RK, Kalita K, et al. EDM process parameter optimization for efficient machining of Inconel-718. Series Mech Eng. 2020;18(3):473–490.
  • Geethapriyan T, Muthuramalingam T, Kalaichelvan K. Influence of process parameters on machinability of Inconel 718 by electrochemical micromachining process using TOPSIS technique. Arab J Sci Eng. 2019;44(9):7945–7955.
  • Shivakoti I, Pradhan BB, Diyaley S, et al. Fuzzy TOPSIS-based selection of laser beam micro-marking process parameters. Arab J Sci Eng. 2017;42(11):4825–4831.
  • Sutherland JT. A dynamic model of the cutting force system in the end milling process. ASME Sensors Controls Manufact. 1988;33:53–62.
  • Zhao Q, Cui X, Qian Z, et al. The synergistic effect of Al-B-C master alloy to improve conductivity and strength of 1070 alloy. J Alloys Compd. 2015;639:478–482.
  • Haga T, Imamura S, Fuse H. Fluidity investigation of pure Al and Al-Si alloys. Materials. 2021;14(18):5372.
  • Chakraborty S, Chakraborty S. A scoping review on the applications of MCDM techniques for parametric optimization of machining processes. Archiv Comput Methods Eng. 2022;29(6):4165–4186.
  • Divya C, Raju LS, Singaravel B, et al. Application of MCDM methods for process parameter optimization in turning process – a review. In: Narasimham G, editor. Recent trends in mechanical engineering. Singapore: Springer; 2021:pp. 199–207.
  • MacCrimmon KR. Decision making among multiple-attribute alternatives: a survey and consolidated approach, No. RM-4823-ARPA. Santa Monica Ca: Rand Corp; 1968.
  • Miller D, Starr M. Executive decisions and operations research. Englewood Cliffs: Prentice-Hall; 1969.
  • Chakraborty S, Zavadskas EK. Applications of WASPAS method in manufacturing decision making. Informatica. 2014;25(1):1–20.
  • Chakraborty S. Applications of the MOORA method for decision making in manufacturing environment. Int J Adv Manuf Technol. 2011;54(9–12):1155–1166.
  • Behzadian M, Otaghsara SK, Yazdani M, et al. A state-of the-art survey of TOPSIS applications. Expert Syst Appl. 2012;39(17):13051–13069.
  • Ghorabaee MK, Zavadskas EK, Olfat L, et al. Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica. 2015;26(3):435–451.
  • Zavadskas EK, Turskis Z. A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technol Econ Dev Econ. 2010;16(2):159–172.
  • Zavadskas EK, Kaklauskas A, Turskis Z, et al. Selection of the effective dwelling house walls by applying attributes values determined at intervals. J Civil Eng Manage. 2008;14(2):85–93.

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