Abstract
The goal of this research is to find the best process input parameters in wire-electrical discharge machining (wire-EDM) when processing 90CrSi tool steel. The TOPSIS method was used as a tool in this study to solve the MCDM problem. Furthermore, the MEREC method is employed to compute the weights on the output parameters of the experiment result. According to the results of this work, experiment No. 19 is the best experimental setup, with the following input parameters: the cutting voltage VM = 9 (V), the pulse on time Ton = 12 (s), the pulse off time Toff = 18 (s), the servo voltage SV = 35 (V), the wire feed WF = 8 (mm/min), and the feed speed SPD = 4.5 (mm/min).
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References
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)
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)
Singh, A., et al.: TOPSIS based selection of optimal end milling process parameters. In: AIP Conference Proceedings. AIP Publishing LLC (2020)
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)
Majumder, H., Maity, K.: Prediction and optimization of surface roughness and micro-hardness using GRNN and MOORA-fuzzy-a MCDM approach for nitinol in WEDM. Measurement 118, 1–13 (2018)
Sreeraj, P., et al.: Application of MCDM based hybrid optimization of WEDM process parameters. Mater. Today: Proc. 50, 1186–1192 (2022)
Jaiswal, A., et al.: Multi response optimization of wire EDM process parameters. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing (2018)
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)
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)
Huo, J., et al.: Influence of process factors on surface measures on electrical discharge machined stainless steel using TOPSIS. Mater. Res. Exp. 6(8), 086507 (2019)
Huu Phan, N., Muthuramalingam, T.: Multi-criteria decision-making of vibration-aided machining for high silicon-carbon tool steel with Taguchi–topsis approach. Silicon 13(8), 2771–2783 (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)
Hwang, C.-L., Lai, Y.-J., Liu, T.-Y.: A new approach for multiple objective decision making. Comput. Oper. Res. 20(8), 889–899 (1993)
Keshavarz-Ghorabaee, M.: Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach. Sci. Rep. 11(1), 1–19 (2021)
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This work was supported by Thai Nguyen University of Technology.
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Huy, T.Q., Ky, L.H., Anh, L.H., Danh, B.T., Cuong, N.M., Tu, N.T. (2023). Application of TOPSIS Method to Determine Best Alternative in Wire-EDM 90CrSi Tool Steel. 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_27
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DOI: https://doi.org/10.1007/978-3-031-22200-9_27
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