Machining parameter optimization and study the turning operation behaviour of hybrid Al/Mg composites

The exposures of Al/Mg alloy hybrid nanocomposite found in automotive applications have specific behaviours such as low specific weight, good hardness, superior tensile strength, better thermal stability, economic, and excellent corrosion resistance.Besides, non-homogenous particle dispersion could damage the tool surface, resulting in low surface roughness.This investigation synthesizes and studies the machinability behaviour of Al/Mg alloy hybrid nanocomposite embedded with 5wt% of Al2O3 and 15wt% of SiC nanoparticles via vacuum stir cast route.Synthesized composite is subjected to a CNC turning process with varied input process parameters of 1000-1600 rpm speed (N), 0.2-0.8mm depth of cut (DOC), and 0.1-0.4mm/rev - feed rate (f).The impact of machining parameters on tool wear (TW), surface roughness (Ra), and composite temperature is experimentally measured.Its process parameters are optimized through ANOVA Taguchi L16 design with a 99.5% confidence level.With the excellence of ANOVA, the 1000-1200 rpm (N), 0.1 mm/rev -1 (f) and 0.2-0.4mm(DOC) performed good machinability behaviour, including low tool wear (0.03-0.033m), surface roughness (0.58-0.59m), and temperature (84.5-88.4C)respectively.