Optimisation of Process Parameters in Wire Electrical Discharge Machining of Inconel 718 Superalloy Using Taguchi-Grey Relational Analysis and Response Surface Methodology

Wire Electrical Discharge Machining (WEDM) is a non-conventional precision machining process that has assumed critical importance in the aerospace, defence, and energy sectors owing to its ability to machine electrically conductive hard-to-cut materials irrespective of mechanical hardness. Inconel 718, a nickel-based precipitation-hardenable superalloy exhibiting high creep resistance, excellent high-temperature mechanical properties, and superior oxidation and corrosion resistance, presents significant machinability challenges for conventional cutting tools due to its high work-hardening rate, low thermal diffusivity, and affinity for tool material at elevated cutting temperatures. This study investigates the simultaneous optimisation of four critical WEDM process parameters — pulse-on time (Ton: 105–135 µs), pulse-off time (Toff: 45–65 µs), servo voltage (SV: 20–40 V), and wire feed rate (WF: 4–8 m/min) — on three response variables: material removal rate (MRR), surface roughness (Ra), and kerf width (KW). A L27 Taguchi orthogonal array experimental design incorporating zinc-coated brass wire (0.25 mm diameter) in dielectric fluid (deionised water, conductivity 18 µS/cm) was used. Multi-response optimisation via Grey Relational Analysis (GRA) identified optimal parametric combination as Ton = 120 µs, Toff = 55 µs, SV = 30 V, WF = 6 m/min, yielding MRR of 42.6 mm³/min, Ra of 1.84 µm, and KW of 0.312 mm. ANOVA results indicate Ton as the dominant parameter (39.2% contribution to MRR; 51.4% to Ra). Response surface methodology confirmed the GRA-optimal combination through regression model validation (R² = 0.94). SEM-EDS analysis of machined surfaces reveals recast layer formation of 8–14 µm thickness and residual micro-crack density inversely correlated with servo voltage. The results provide process window guidelines for WEDM of Inconel 718 in near-net-shape turbine component manufacturing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-28
DOI
https://doi.org/10.5281/zenodo.20423773
Primary Topic
Advanced Machining and Optimization Techniques
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article
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Optimisation of Process Parameters in Wire Electrical Discharge Machining of Inconel 718 Superalloy Using Taguchi-Grey Relational Analysis and Response Surface Methodology

Rajesh Kumar
Zenodo (CERN European Organization for Nuclear Research)
Advanced Machining and Optimization Techniques
article

Optimisation of Process Parameters in Wire Electrical Discharge Machining of Inconel 718 Superalloy Using Taguchi-Grey Relational Analysis and Response Surface Methodology

Rajesh Kumar
article en

Abstract

Wire Electrical Discharge Machining (WEDM) is a non-conventional precision machining process that has assumed critical importance in the aerospace, defence, and energy sectors owing to its ability to machine electrically conductive hard-to-cut materials irrespective of mechanical hardness. Inconel 718, a nickel-based precipitation-hardenable superalloy exhibiting high creep resistance, excellent high-temperature mechanical properties, and superior oxidation and corrosion resistance, presents significant machinability challenges for conventional cutting tools due to its high work-hardening rate, low thermal diffusivity, and affinity for tool material at elevated cutting temperatures. This study investigates the simultaneous optimisation of four critical WEDM process parameters — pulse-on time (Ton: 105–135 µs), pulse-off time (Toff: 45–65 µs), servo voltage (SV: 20–40 V), and wire feed rate (WF: 4–8 m/min) — on three response variables: material removal rate (MRR), surface roughness (Ra), and kerf width (KW). A L27 Taguchi orthogonal array experimental design incorporating zinc-coated brass wire (0.25 mm diameter) in dielectric fluid (deionised water, conductivity 18 µS/cm) was used. Multi-response optimisation via Grey Relational Analysis (GRA) identified optimal parametric combination as Ton = 120 µs, Toff = 55 µs, SV = 30 V, WF = 6 m/min, yielding MRR of 42.6 mm³/min, Ra of 1.84 µm, and KW of 0.312 mm. ANOVA results indicate Ton as the dominant parameter (39.2% contribution to MRR; 51.4% to Ra). Response surface methodology confirmed the GRA-optimal combination through regression model validation (R² = 0.94). SEM-EDS analysis of machined surfaces reveals recast layer formation of 8–14 µm thickness and residual micro-crack density inversely correlated with servo voltage. The results provide process window guidelines for WEDM of Inconel 718 in near-net-shape turbine component manufacturing.

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Advanced Machining and Optimization Techniques
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Optimisation of Process Parameters in Wire Electrical Discharge Machining of Inconel 718 Superalloy Using Taguchi-Grey Relational Analysis and Response Surface Methodology — Rajesh Kumar · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS