Advertisement

Multi-objective Optimization of Dry EDM with Inconel 718 Using Grey Relational Analysis

  • A. S. BhandareEmail author
  • U. A. Dabade
Conference paper
  • 20 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

In dry EDM machining, hollow electrodes are applied to supply gaseous medium at the machining zone. In this paper, an attempt has been made with L27 orthogonal array using compressed air as a dielectric medium, for Inconel 718 workpiece material and with copper tool electrode, to study and investigate the effects of machining parameters like as gas pressure, discharge current, pulse on time and gap voltage to optimize the output variables such as material removal rate (MRR), surface roughness (SR) and tool wear rate (TWR) based on Taguchi grey relational array. Analysis of variance (ANOVA) was carried out to find the significance of process parameters on grey relational grade. Gas pressure at level 2 (2 bar), current at level 1 (13 A), pulse on time at level 3 (200 µs) and gap voltage at level 3 (60 V) were found to be the optimum parameters for this process.

Keywords

Dry electric discharge machining (Dry EDM) Material removal rate (MRR) Surface roughness (SR) Tool wear rate (TWR) Grey relational analysis Analysis of variance 

References

  1. 1.
    Leao FN, Pashby IR (2004) A review on the use of environmentally-friendly dielectric fluids in electrical discharge machining. J Mater Process Technol 149(1–3):341–346CrossRefGoogle Scholar
  2. 2.
    Saha SK, Choudhury SK (2009) Multi-objective optimization of the dry electric discharge machining process, pp 1–4Google Scholar
  3. 3.
    Chakravorty R, Gauri SK, Chakraborty S (2013) A study on the multi-response optimisation of EDM processes. Int J Mach Mach Mater 13(1):91–109Google Scholar
  4. 4.
    Vikasa AKR, Kumarb K (2014) Effect and optimization of various machine process parameters on the MRR, over-cut and surface roughness in EDM for an EN41 material using grey-taguchi approach. Int J Appl Eng. Res 9(26:8963–8966Google Scholar
  5. 5.
    Mishra BP, Routara BC (2017) An experimental investigation and optimisation of performance characteristics in EDM of EN-24 alloy steel using Taguchi Method and Grey Relational Analysis. Mater Today Proc 4(8):7438–7447Google Scholar
  6. 6.
    Purohit R, Rana RS, Dwivedi RK, Banoriya D, Singh SK (2015) Optimization of electric discharge machining of M2 tool steel using grey relational analysis. Mater Today Proc 2(4–5):3378–3387CrossRefGoogle Scholar
  7. 7.
    Singh Khundrakpam N, Singh Brar G, Deepak D (2018) Grey-Taguchi optimization of near dry EDM process parameters on the surface roughness. Mater Today Proc 5(2):4445–4451Google Scholar
  8. 8.
    Priyadarshini M, Pal K (2015) Grey-taguchi based optimization of EDM process for titanium alloy. Mater Today Proc 2(4–5):2472–2481CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringWalchand College of Engineering SangliSangliIndia

Personalised recommendations