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Optimisation of EDM process for MRR, TWR and radial overcut of D2 steel: a hybrid RSM-GRA and entropy weight-based TOPSIS approach

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  • Mohan Kumar Pradhan

Abstract

In this research, a distinct combination of response surface methodology (RSM), gray relational analysis (GRA) with Shannon's entropy measurement-based technique for order preference by similarity to ideal solution (TOPSIS) method has been suggested to assess, improve and estimate the influence of the process parameters on responses characteristics. The electrical discharge machining (EDM), parameters pulse current (Ip), pulse duration (Ton), duty cycle (Tau) and discharge voltage (V) were input, and, material removal rate (MRR), tool wear rate (TWR) and radial overcut or gap (G) were considered as output parameters. The R2 value for the relative closeness was found to be 96.83%. The ANOVA reveals that Ip is the most influencing parameter with 46.49% contribution followed by Ton, Tau and V with 13.92%, 7.35% and 2.8%, respectively. The interaction of parameters contributes 15.26%. This study can be used as a scientific source for parameter optimisation in concerned manufacturing processes.

Suggested Citation

  • Mohan Kumar Pradhan, 2018. "Optimisation of EDM process for MRR, TWR and radial overcut of D2 steel: a hybrid RSM-GRA and entropy weight-based TOPSIS approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 29(3), pages 273-302.
    • Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:273-302
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    Cited by:

    1. Alaa M. Ubaid & Shukry H. Aghdeab & Ahmed Ghazi Abdulameer & Laith Abdullah Al-Juboori & Fikri T. Dweiri, 2020. "Multidimensional optimization of electrical discharge machining for high speed steel (AISI M2) using Taguchi-fuzzy approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1021-1045, December.

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