Experimental examination on electrochemical machining of Mg/FeCoCrNiMn composite

The current study explores the effectiveness of the ECM process when machining newly developed high entropy alloy (HEA)-reinforced magnesium composites. To evaluate the machinability, the study focuses on two key output constraints: surface roughness (Ra) and material removal rate (MRR). Experimental trials involve adjusting variables such as feed rate (FR), current, Electrolyte concentration (EC), & voltage in which experiment design is done through Taguchi method. Results highlights voltage as the most important input parameter governing Ra, followed by current. Similarly, voltage emerges as the primary influencer for MRR, with current being the second most influential. Furthermore, artificial neural networks (ANN) yielded predictions closely aligns with the experimental data. The optimal parameter set identified through CRITIC-WASPAS method included 5 Wt.% HEA, 15 V Voltage, 2 Amps current, 0.3 mm/min feed, and 25 g/lit electrolyte concentrations, resulting in a surface finish of 3.47 µm and a production rate of 0.039 mg/min.