Mechanical and Corrosion Studies of Friction Stir Welded Nano Al2O3 Reinforced Al-Mg Matrix Composites: RSM-ANN Modelling Approach

Nano aluminum oxide was prepared by the combustion method using nitrate as oxidizer and urea a fuel. Characterization of synthesized materials performed SEM (scanning electron microscope), powder XRD (X-ray diffraction), FTIR (Fourier transform infrared spectroscopy), TEM (transmission microscope). Al-Mg/Al2O3 (2, 4, 6, 8 wt%) metal matrix nanocomposites were liquid metallurgy route-vertex technique. The homogeneous dispersion nano Al2O3 particles in (MMNCs) revealed from field emission analysis. reinforcement present analyzed through energy-dispersive X-ray spectroscopy method. properties (corrosion mechanical) fabricated composites evaluated. mechanical corrosion initially increased then decreased with addition Al-Mg Matrix. studies show that, presence 6 wt% improved other combinations material. Further, (6 MMNCs are joined friction stir welding evaluated for microstructural, mechanical, properties. may find applications marine field. response surface (RSM) used optimization tensile strength, Young’s modulus, microhardness material which resulted 95% statistical confidence level. Artificial neural network (ANN) analysis also carried out perfectly predicted these two ANN model is optimized to obtain 99.9% accurate predictions changing number neurons hidden layer.