LAUSR

Among various machining processes, wire electrical discharge machining (WEDM) is regarded as one of the efficient and cost-effective processes in machining of metal matrix nanocomposites (MMNC). This article discusses the investigation and optimization of machining parameters like the voltage, pulse off time, pulse on time, wire feed rate and wt% nano-SiC particles in WEDM of magnesium metal matrix nanocomposites. Experiments are conducted on magnesium reinforced with nano-silicon carbide particles of diameter 50-80 nm. Machining parameters like the voltage, pulse off time, pulse on time, wire feed rate and wt% nano-SiC are considered for the investigation using a four-factor D-optimal design based on the response surface methodology. The WEDM performances of MMNCs are evaluated by employing the parameters like metal removal rate (MRR) and surface roughness (SR). The second order quadratic models are developed between WEDM parameters and responses by regression analysis. The derived mathematical models are then optimized using the multi-objective optimization technique based on desirability analysis. The investigation indicates that the predicted values of the obtained model are in accordance with the experimental values. Surface morphology and the effects of nanoparticle reinforcement in the machined surface are observed through SEM micrographs.