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Experimental investigation and optimization of process parameters during electric discharge machining of Inconel X-750

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Abstract

This article highlights the application of multiple criteria optimization using the Grey relation analysis (GRA) and Weightage principal component analysis (WPCA) method in EDM of Inconel X-750. Taguchi’s based design of experiment L9 orthogonal array (OA) was used to perform machining operations using a copper tool. When machining comes to accuracy, higher dimensional tolerances, extreme surface finish, cutting of hard materials, there is an extreme need for non-traditional techniques like EDM. The effects of process parameter namely, peak current (\(I_{\text{p}}\)), pulse on time (\(T_{\text{on}}\)), pulse off time (\(T_{\text{off}}\)) and voltage (V) on Material removal rate (MRR) and Surface roughness (Ra) has been studied. The optimal parametric setting obtained from WPCA and GRA approach are found as 15 amp, 74 µs, 8 µs, 40 voltage, and 18 amp, 63 µs, 9 µs, 60 voltages, respectively. Outcomes of confirmatory tests show that WPCA gives better agreement with actual results which is highly desired for an efficient machining environment. Also, a comparative study of both the developed hybrid modules was performed to evaluate the feasibility. Outcomes reveal that WPCA improved the preferred solution value by 12.67%. The result of ANOVA confirms the most influencing parameter on machining performances.

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Abbreviations

GRA:

Grey relation analysis

GRC:

Grey relation coefficient

GRG:

Grey relation grade

MRR:

Material removal rate

Ra:

Surface roughness

ANOVA:

Analysis of variance

MPI:

Multi-performance index

OA:

Orthogonal array

Min:

Minute

mm:

Milli meter

Nm:

Newton meter

N:

Newton

LB:

Lower is better

HB:

Higher is better

S/N:

Single to noise

N:

Normalize

PCA:

Principal component analysis

TOPSIS:

Techniques for order of preference by similarity to ideal solution

VIKOR:

Vlse Kriterijumska Optimizacija Kompromisno Resenje

RSM:

Response surface methodology

NSGA-II:

Nondominated sorting genetic algorithm-II

AHP:

Analytic hierarchy process

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Acknowledgements

The authors are very grateful to the Department of Mechanical Engineering, Madan Mohan Malaviya University of Technology Gorakhpur, India for extending all possible help in carrying out this research work directly or indirectly.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Correspondence to Rajesh Kumar Verma.

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The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

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Pratap, P., Kumar, J. & Verma, R.K. Experimental investigation and optimization of process parameters during electric discharge machining of Inconel X-750. Multiscale and Multidiscip. Model. Exp. and Des. 3, 161–171 (2020). https://doi.org/10.1007/s41939-020-00069-z

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