Enhancing the Wear Resistance of AA2024 Alloys Through Ni and MgO Composite Reinforcements

This study examines the physical properties of AA2024 composite material strengthened using nickel (Ni) and magnesium oxide (MgO). Using the in situ stir casting method, reinforcement amounts of 0, 5, 10, 15, and 20 wt% were mixed in-situ with the matrix. Mechanical hardness was measured by testing the material’s tensile and compressive strengths using standard ASTM procedures. Particle distribution and dispersion in AA2024 composites were studied using energy-dispersive spectroscopy (EDS) and X-ray diffraction (XRD). Wear resistance can be calculated with the pin-on-disk (POD) method based on a number of input factors including sliding load (N), sliding velocity (m/s), and percentage of composites (wt%). The proportion of reinforced mass loss (g) was used to determine the wear rate (mm3/m). The most effective processing parameters and composites for the AA2024 were identified with the help of optimization techniques like Taguchi and Analysis of Variance. Theoretical and experimental findings were compared to determine the most effective Genetic Algorithm (GA) results.