Synthesis and Machining Characterization of Copper-Multiwalled Carbon Nanotubes-Graphene Hybrid Composite Using SEM and ANOVA

In recent days nanotechnology has become one of the most excellent escalating technologies in the field of engineering and scientific areas. During the last decade there are numerous experimental analysis was carried out by many scholars on nanoparticles. This research work was carried out through different samples with varied composition of the nano-materials and the results were found on the optimisation of machining parameters of copper-multiwalled carbon nanotubes-graphene hybrids. The machining parameters of the hybrid composites were optimized using Taguchi method after the hybrid composite was made by stir casting process and analysis of variance (ANOVA) was used to analyse data and find the most influencing factor. The Taguchi’s signal to noise ratio was used is ‘smaller is better’. Confirmatory examinations were also performed for the purpose of validation after obtaining the optimized results. The hybrid nanocomposite specimens thus prepared were characterized by scanning electron microscope. From the results it was found that the addition of carbon nanotubes and graphene into copper leads to lower surface roughness values compared to pure copper.