Prediction of Wear Behaviour of Almg1sicu Hybrid MMC Using Taguchi with Grey Rational Analysis

In this paper, investigation focuses on preparing hybrid metal matrix composites of AlMg1SiCu alloy as base material by incorporating 9% SiC and varying 3 to 9% of graphite particulates varying insteps of 3 by vortex method. The wear and frictional properties of metal matrix hybrid composites were studied by performing dry sliding wear test using pin on disc wear test apparatus as per ASTM standards G – 99. Experiments were conducted based on the plan of experiments generated through Taguchi's technique. A L9 Orthogonal array was selected for analysis of data. Investigation to find the influence of applied load, sliding speed and track diameter on wear rate as well as coefficient of friction during wearing process was carried out using ANOVA. A mathematical model has been made for all cases that were studied depending on the method of least squares which helps in foretelling about the wear rate through the knowledge of limits as a variable with fixing the other variables Objective of the model was chosen as smaller the better characteristics to analyses the dry sliding wear resistance. The parametric studies indicate that on increase in the percentage of reinforcement; wear rate and coefficient of friction decreases.