The research article reports the mechanical and tribological behavior of magnesium (AZ91) reinforced with reduced Graphene Oxide (r-GO) and hexagonal Boron Nitride (hBN). The composites are fabricated using powder metallurgy technique. Reinforcement (r-GO and hBN) powder particles were characterized using Scanning Electron Microscope (SEM) and Transmission electron microscopy (TEM). Further, the fabricated samples were characterized using Scanning Electron Microscope (SEM). The elemental composition of the composites was confirmed using Energy Dispersive Analysis (EDAX). Furthermore, the phase angles along with the crystallinity of the samples were evaluated by X-Ray Diffraction technique (XRD). By the influence of r-GO and hBN, the mechanical and tribological properties are assessed. The process parameters are used for this study are applied load, sliding velocity and applied load (5 N, 10 N, 15 N and 20 N), sliding velocity (0.5 m/s, 1 m/s, 1.5 m/s and 2 m/s) and Wt. of r-GO (0.20-0.50) with hBN kept 1% constant for all the samples. The results revealed that r-GO and hBN has mainly contributed to enhance the properties. Furthermore, the process parameters are optimized using Response Surface Methodology (RSM) integrated with Non-Domination based Genetic Algorithm (NSGA). RSM integrated NSGA optimization results provide effective tribological process parameters such as applied load (6.2 N), sliding velocity (1.2 m/s) and Wt. of hBN: r-Go (1: 0.49) would reduce the responses such as CoF and SWR simultaneously

Keywords: AZ91, hBN: r-GO composites, NSGA, Wear analysis