Application of multi-criteria decision making technique in wire-cut EDM tool steel
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https://doi.org/10.54939/1859-1043.j.mst.83.2022.103-109Keywords:
WEDM; MCDM; TOPSIS method; Surface Roughness; Cutting Speed; 90CrSi tool steel.Abstract
The findings of a study on the application of the MCDM technique to select the best input parameters in wire-cut electrical discharge machining (wire-cut EDM) 90CrSi tool steel are presented in this paper. The TOPSIS method was used in the study to solve the MCDM problem, and the Entropy method was used to compute the weights of the criteria. In this work, six input parameters including 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 were investigated. Also, a 27-2 design experiment was performed and a total of 32 experimental runs were conducted. The MCDM problem was solved. According to the findings of this study, the best experimental setup 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).
References
[1]. Sreeraj, P., et al., "Application of MCDM based hybrid optimization of WEDM process parameters". Materials Today: Proceedings. 50: p. 1186-1192, (2022). DOI: https://doi.org/10.1016/j.matpr.2021.08.067
[2]. Bavche, A.L., M. Valekar, and B.K. Padaseti, "Application of MOORA to Optimize WEDM Process Parameters: A Multi-criteria Decision Making Approach". ICRRM 2019–System Reliability, Quality Control, Safety, Maintenance and Management: Applications to Civil, Mechanical and Chemical Engineering: p. 73, (2019). DOI: https://doi.org/10.1007/978-981-13-8507-0_12
[3]. Jaiswal, A., et al. "Multi response optimization of wire EDM process parameters". in IOP Conference Series: Materials Science and Engineering. IOP Publishing, (2018). DOI: https://doi.org/10.1088/1757-899X/377/1/012221
[4]. 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). DOI: https://doi.org/10.1088/1757-899X/390/1/012109
[5]. Bagal, D.K., et al., "Multi-parametric Optimization of Wire-EDM of Inconel 718 Super Alloy Using Taguchi-Coupled WASPAS Method", in Advances in Mechanical Processing and Design, Springer. p. 459-467, (2021). DOI: https://doi.org/10.1007/978-981-15-7779-6_40
[6]. Patel, J.D. and K.D. Maniya, "Optimization of WEDM Process Parameters for Aluminium Metal Matrix Material Al+ SiC Using MCDM Methods", in Advances in Manufacturing Processes, Springer. p. 59-70, (2021). DOI: https://doi.org/10.1007/978-981-15-9117-4_5
[7]. Huo, J., et al., "Influence of process factors on surface measures on electrical discharge machined stainless steel using TOPSIS". Materials Research Express. 6(8): p. 086507, (2019). DOI: https://doi.org/10.1088/2053-1591/ab1ae0
[8]. Huu Phan, N. and T. Muthuramalingam, "Multi-criteria decision-making of vibration-aided machining for high silicon-carbon tool steelwith Taguchi–topsis approach". Silicon. Springer, 13(8): p. 2771-2783, (2021). DOI: https://doi.org/10.1007/s12633-020-00632-w
[9]. Nguyen, H.-Q., et al., "Multi-Criteria Decision Making in the PMEDM Process by Using MARCOS, TOPSIS, and MAIRCA Methods". Applied Sciences, MDPI, . 12(8): p. 3720, (2022). DOI: https://doi.org/10.3390/app12083720
[10]. Trung, D. and H. Thinh, "A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study". Advances in Production Engineering & Management. 16(4): p. 443-456, (2021). DOI: https://doi.org/10.14743/apem2021.4.412
[11]. Nguyen, H.-Q., et al., "A Comparative Study on Multi-Criteria Decision-Making in Dressing Process for Internal Grinding". Machines, MDPI. 10(5): p. 303, (2022). DOI: https://doi.org/10.3390/machines10050303
[12]. Hwang, C.-L., Y.-J. Lai, and T.-Y. Liu, "A new approach for multiple objective decision making". Computers & operations research. 20(8): p. 889-899, (1993). DOI: https://doi.org/10.1016/0305-0548(93)90109-V
[13]. Hieu, T.T., N.X. Thao, and L. Thuy, "Application of MOORA and COPRAS Models to Select Materials for Mushroom Cultivation". Vietnam Journal of Agricultural Sciences. 17(4): p. 32-2331, (2019).
