APPLICATION OF MULTI-CRITERIA DECISION MAKING TECHNIQUE  IN WIRE-EDM FOR 90CrSI TOOL STEEL BY MARCOS METHOD

Nguyễn Đình Mãn; Lê Xuân Hưng

doi:10.34238/tnu-jst.7349

APPLICATION OF MULTI-CRITERIA DECISION MAKING TECHNIQUE IN WIRE-EDM FOR 90CrSI TOOL STEEL BY MARCOS METHOD

About this article

Received: 16/02/23 Revised: 19/04/23 Published: 19/04/23

Authors

1. Nguyen Dinh Man, TNU - University of Technology
2. Le Xuan Hung , TNU - University of Technology

Abstract

This paper represents results of applying MCDM technique to select optimal input parameters for wire-cut electrical discharge machining (wire-cut EDM) of 90CrSi tool steel. To solve the MCDM problem, the MARCOS method was utilized, and the Entropy method was used to determine the criteria weights. This work investigated six input parameters, including cutting voltage (VM), pulse on time (t_on), pulse off time (t_off), servo voltage (SV), wire feed (WF), feed speed (SPD), and workpiece cutting radius (R). Additionally, a 2^7-2 design experiment and 32 experimental runs were performed to address the MCDM issue. According to the results of the study, experiment No. 7 produced the best results with the following input parameters: VM=9 (V), t_on=12 (μs), t_off=13 (μs), SV=25 (V), WF=8 (mm/min), SPD=4.5 (mm/min), and R=9 (mm). The results are promising to practically apply in industrial manufacturing.

Keywords

Wire-EDM; MCDM; MARCOS method; Surface Roughness; 90CrSi tool steel

Full Text:

PDF

References

[1] L. Pintelon, M. D. Nardo, T. Murino, G. Pileggi, and E.V. Poorten, “A new hybrid MCDM approach for RPN evaluation for a medical device prototype,” Quality and Reliability Engineering International, vol. 37, no. 5, pp. 2189-2213, 2021.

[2] W.-Y. Chiu, G.-H. Tzeng, and H.-L. Li, “A new hybrid MCDM model combining DANP with VIKOR to improve e-store business,” Knowledge-Based Systems, vol. 37, pp. 48-61, 2013.

[3] W. Su, D. Wang, L. Xu, S. Zeng, and C. Zhang, “A nonradial super efficiency DEA framework using a MCDM to measure the research efficiency of disciplines at Chinese universities,” IEEE Access, vol. 8, pp. 86388-86399, 2020.

[4] T. Marchant, “Towards a theory of MCDM: stepping away from social choice theory,” Mathematical social sciences, vol. 45, no. 3, pp. 343-363, 2003.

[5] T. Gürbüz and Y. E. Albayrak, “An engineering approach to human resources performance evaluation: Hybrid MCDM application with interactions,” Applied Soft Computing, vol. 21, pp. 365-375, 2014.

[6] M. Shafiee, “Maintenance strategy selection problem: an MCDM overview,” Journal of Quality in Maintenance Engineering, vol. 21, no. 4, pp. 378-402, 2015.

[7] E. K. Zavadskas, K. Govindan, J. Antucheviciene, and Z. Turskis, “Hybrid multiple criteria decision making methods: A review of applications in engineering,” Scientia Iranica, vol. 23, no. 1, pp. 1-20, 2016.

[8] A. L. Bavche, 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, 2019, p. 73.

[9] A. Muniappan, M. Sriram, C. Thiagarajan, G.B. Raja, and T. Shaafi, “Optimization of WEDM Process Parameters on Machining of AZ91 Magnesium alloy using MOORA method,” in IOP Conference Series: Materials Science and Engineering, vol. 390, no. 1, 2018, doi: 10.1088/1757-899X/390/1/012107.

[10] P. Sreeraj, S. T. Kumaran, S. S. Kumar, M. Uthayakumar, and M. Pethuraj, “Application of MCDM based hybrid optimization of WEDM process parameters,” Materials Today: Proceedings, vol. 50, pp. 1186-1192, 2022.

[11] D. K. Bagal, S. K. Bagal, S. K. Mahapatra, A. Barua, S. Jeer, A. K. Pattanaik, and D. Patnaik, “Multi-parametric Optimization of Wire-EDM of Inconel 718 Super Alloy Using Taguchi-Coupled WASPAS Method,” in Advances in Mechanical Processing and Design. Springer, 2021, pp. 459-467.

[12] J. D. Patel 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, 2021, pp. 59-70.

DOI: https://doi.org/10.34238/tnu-jst.7349

Refbacks

There are currently no refbacks.



Remember me