This study analyzed the results of Inconel 718 alloy on substance extraction
capacity, including surface roughness. The analysis was carried out in micro electrochemical
machining by applying various variables and employing stainless rod material
as a substrate. The optimizing method depended on Taguchi's methodology-based grey
relation technique using Minitab 19 tools. Predictor variables were designed for the L9
dimensional set using Taguchi's model with 3 input variables: voltage, electrolyte
concentration, and current. Taguchi’s model was employed to estimate the effect of
input variables upon the rate of dissolution and surface roughness of the substance. For
predictions, regression methodologies have been introduced. In the end, the optimal run
for the substance removal capacity was 16 volts, 0.40 mole/lit, and 0.8 amp. The
optimal run for surface roughness was 8 volts, 0.40 mole/lit, and 1 amp. The combined
optimal run was achieved in run number 3. Subsequently, a confirmatory test was
carried out to verify the experimental results.
Keywords: Inconel 718 alloy, Grey relation optimization, Regression, Taguchi’s model.
