OBRABOTKAMETALLOV technology Vol. 27 No. 2 2025 A photograph of the die-sinking EDM machine used is shown in Fig. 1. The chemical, physical, and thermoelectric properties of the workpiece and tool materials are summarized in Tables 1 and 2, respectively. The research methodology is shown schematically in Fig. 2. Material removal rate (MRR) and tool wear rate (TWR) were calculated using equations (1) and (2): ∆ ρ w m W MRR t (1) where ΔW is the change in workpiece mass (g); ρw is the workpiece material density (g/cm³); tm is the machining time (min). ∆ ρ t m T TWR t (2) where ΔT is the change in tool electrode mass (g); ρt is the tool electrode material density (g/cm³); tm is the machining time (min). Fig. 1. EDM die-sinking machine Ta b l e 1 Chemical composition of materials used Name of the material Ni (%) Ti (%) Be (%) Cu (%) NiTi alloy 60 40 – – NiCu alloy 72 – – 28 BeCu alloy – – 2 98 Copper electrode – – – 99.9 The experimental design was developed and implemented using the Taguchi method. To enhance the statistical significance of the results, three repeated measurements were conducted for each parameter set, which is a requirement of the Taguchi method when using the signal-to-noise (S/N) ratio. The S/N ratio is a combined statistic that considers both the average value of the target characteristic and its variance distribution. Using this ratio allows for the optimization of process parameters to enhance overall performance.
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