Abstract
This paper present the results of a study on the application of the Multi-Criteria Decision Making (MCDM) technique to select the best input parameters in Wire Electrical Discharge Machining (WEDM) 90CrSi tool steel. In the study, the Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) method was used to solve the MCDM problem, and the Entropy method was used to calculate the weights of the criteria. In addition, six input parameters are required: the cutting voltage VM, the pulse on time Ton, the pulse off time Toff, the servo voltage SV, the wire feed WF, the feed speed SPD, and the workpiece cutting radius R. In addition, a 27–2 design experiment was carried out and a total of 32 different experimental setups were performed. The MCDM problem has been solved. The best experimental setup, according to the results of this work, is experiment no. 7 with the following input parameters: VM = 9 V, Ton = 12 s, Toff = 13 s, SV = 25 V, WF = 8 mm/min, SPD = 4.5 mm/min, and R = 9 mm.
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References
Do, D.T.: Multi-criteria decision making under the MARCOS method and the weighting methods: applied to milling, grinding and turning processes. Manuf. Rev. 9, (2022)
Çalışkan, H., et al.: Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods. Mater. Des. 45, 473–479 (2013)
Trung, D.D., Thinh, H.: A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: a comparative study. Adv. Prod. Eng. Manag. 16(4), 443–456 (2021)
Do, D.T.: A combination method for multi-criteria decision making problem in turning process. Manuf. Rev. 8, (2021)
Nguyen, H.-Q., et al.: A comparative study on multi-criteria decision-making in dressing process for internal grinding. Machines 10(5), 303 (2022)
Huu Phan, N., Muthuramalingam, T.: Multi criteria decision making of vibration assisted EDM process parameters on machining silicon steel using Taguchi-DEAR methodology. Silicon 13(6), 1879–1885 (2021)
Nguyen, H.-Q., et al.: Multi-criteria decision making in the PMEDM process by using MARCOS, TOPSIS, and MAIRCA methods. Appl. Sci. 12(8), 3720 (2022)
Bavche, A.L., Valekar, M., Padaseti, B.K.: Application of MOORA to optimize WEDM process parameters: a multi-criteria decision making approach. In: ICRRM 2019–System Reliability, Quality Control, Safety, Maintenance and Management: Applications to Civil, Mechanical and Chemical Engineering, p. 73 (2019)
Jaiswal, A., et al.: Multi response optimization of wire EDM process parameters. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing (2018)
Muniappan, A., et al.: Optimization of WEDM process parameters on machining of AZ91 magnesium alloy using MOORA method. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing (2018)
Muniappan, A., et al.: Parametric optimization of WEDM control variables on magnesium AZ91 alloy by TOPSIS method. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing (2018)
Sreeraj, P., et al.: Application of MCDM based hybrid optimization of WEDM process parameters. Mater. Today: Proc. 50, 1186–1192 (2022)
Bagal, D.K., Mahapatra, S.K., Barua, A., Jeet, S., Pattanaik, A.K., Patnaik, D.: Multi-parametric optimization of wire-EDM of Inconel 718 super alloy using Taguchi-coupled WASPAS method. In: Pant, P., Mishra, S.K., Mishra, P.C. (eds.) Advances in Mechanical Processing and Design. LNME, pp. 459–467. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-7779-6_40
Patel, J.D., Maniya, K.D.: Optimization of WEDM process parameters for aluminium metal matrix material Al+ SiC using MCDM methods. In: Advances in Manufacturing Processes, pp. 59–70. Springer (2021)
Stević, Ž, et al.: Sustainable supplier selection in healthcare industries using a new MCDM method: measurement of alternatives and ranking according to COMPROMISE solution (MARCOS). Comput. Ind. Eng. 140, 106231 (2020)
Hieu, T.T., Thao, N.X., Thuy, L.: Application of MOORA and COPRAS models to select materials for mushroom cultivation. Vietnam J. Agric. Sci. 17(4), 32–2331 (2019)
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This work was supported by Thai Nguyen University of Technology.
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Huy, T.Q., Danh, T.H., Danh, B.T., Van Cuong, N., Cuong, N.M., Tu, N.T. (2023). Multi-criteria Decision Making in Wire-EDM Process Using MARCOS Method. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_74
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