Skip to content

Parametric study on electrode wear rate, microhardness and microstructure behaviour in electrical discharge machining of AISI 304 stainless steel

Aug 2026 · Surface review and letters · 0 citations

Abstract

Electrical Discharge Machining (EDM) is widely applied for machining hard metallic materials due to its capability to produce complex geometries with extreme precision. However, machining performance and efficiency are significantly influenced by surface integrity and electrode wear characteristics. In this investigation, effect of current (I), pulse-on time (T on ), and pulse-off time (T off ) on electrode wear rate (EWR) and microhardness (MH) during EDM of AISI 304 stainless steel using copper electrode were systematically examined. A response surface methodology (RSM)-based central composite design was employed to design and analyse the experiments and develop predictive model. Analysis of variance (ANOVA) revealed that ‘I’ was dominant factor, contributing 85% to EWR and 61% to MH. The minimum EWR of 0.0092 g/min was achieved at 6A, 30 μs, 7 μs, whereas the maximum MH of 473.58 was obtained at 6A, 30 μs, 9 μs. The developed regression models exhibited excellent predictive accuracy, with R 2 values of 99.88% and 96.39%, respectively for EWR and MH. EWR increased with increasing in ‘I’, but decreases with increasing T on and T off . Conversely, MH increased with increasing T on and T off , whereas higher ‘I’ leads to decrease MH. Scanning electron microscopy (SEM) revealed formation of deeper craters, a thicker recast layer, and microcracks under greater energy conditions, indicating significant microstructural modification of the machined surface. The developed models and microstructural analysis offer practical framework for optimizing EDM parameters to reduce electrode wear while enhancing hardness and integrity in machining of AISI 304 stainless steel.

View source

Similar papers

Open access Sep 2026

Multi-Response Optimization of CNC Milling Parameters for SUS316 Diffuser Guide Vanes: Effects on Surface Roughness, Machining Time, and Tool Wear

Stainless Steel 316 (SUS316) is widely employed in critical industrial components due to its mechanical strength and corrosion resistance, but its low thermal conductivity and high ductility make it a difficult to machine material. This study investigates the influence of spindle speed, feed rate, and depth of cut on s...

Muhamad Daffa Aditya Eka Pratama, Benidiktus Tulung Prayoga, Galuh Bahari et al. · 0 citations
2026

Surface integrity and multi-objective optimization of Ti-6Al-4V alloy by EDM using a WC/Cu powder metallurgy electrode: an integrated RSM–ANN approach

This study examined the electro-discharge machining (EDM) performance of Ti-6Al-4V alloy utilizing a WC/Cu powder metallurgy electrode using hybrid response surface methodology (RSM) and artificial neural network (ANN) techniques. The effects of peak current ( I p ), pulse-on time ( T on ), pulse-off time ( T...

Elaiyarasan Uthirapathi, Visagan Arjunan, Elangovan Theerthamalai et al. · 0 citations
Sep 2026

Parametric and Statistical Investigation of Material Removal Rate and Surface Roughness in Electrochemical Turning

Electrochemical turning (ECT) is a non-traditional machining process used for shaping electrically conductive materials with high dimensional accuracy and superior surface integrity. Unlike conventional turning, ECT eliminates tool wear, cutting forces, and thermal damage by removing material through controlled anodic...

Zainab Kifah Mohammed, Waqass S. Khudhir, Baqer A. Ahmed · 0 citations
Open access Sep 2026

Surface Characterization of Magnesium Alloy Machined by Wire Electrical Discharge Machining

AZ31 magnesium alloy has been widely used in the aerospace and automobile industry due to its weight‐to‐strength ratio and good corrosion resistance properties. However, due to its low melting point and high reactivity, machining this alloy is difficult. Wire Electrical Discharge Machining (WEDM) is a noncontacting...

Muhammad Syafiq Iskandar Rosni, M. A. Razak, Farooq I. Azam et al. · 0 citations
Sep 2026

Optimization of wire electrical discharge machining parameters to improve the surface roughness of laser-cladded Stellite 6 on AISI 1018 steel

Abstract This study investigated the wire electrical discharge machining (WEDM) machinability of Stellite 6 laser cladded AISI 1018 structural steel, a material combination that is practically unexplored in WEDM literature. Two Taguchi L9 orthogonal array experiments were conducted: Experiment 1 examined mean voltage (...

Beyza Avcı, I. Dalmis, T. Teker et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.