Optimization of Process Parameters of Al6061/SiC /B4C / Talc Composite by Grey Relational Analysis

Composite materials are substituted by traditional materials owing to their unique properties and the inclusion of reinforcement materials, which are creating a new trend in the material world. This research paper relates to an investigation carried out using Al6061base alloy, as the matrix changes the weight percentage (5%, 10%, 15%) of SiC, B4C (3%) and keeps the weight percentage (2%) of Talc constant, which acted as the reinforcing material. The addition of SiC, B4C, and talc to the composite improved its mechanical qualities. EDX and a scanning electron microscope were both employed in this work to investigate the specimens for microstructural analyses. The wear characteristics of composites were investigated using a pin-on-disc machine at sliding velocities of (1, 1.5, 2) m/s, a sliding distance of (1000, 1200, 1500) m, 15% reinforcement weight (5, 10, 15), and loads of 9.81, 19.62, and 29.43 N. The experiment was conducted on the orthogonal array of L27 using Taguchi's method. ANOVA and Grey relational equations were used to determine the optimal value and coefficient of friction based on the influence of input factors. These characteristics allowed us to calculate the ideal wear rate and friction coefficient. It is claimed in the present publication that the results of the experiments have been confirmed by the confirmation tests.