8th International Congress Motor Vehicles & Motors 2020, Pomoravski, Sırbistan, 8 - 09 Ekim 2020, ss.150-158
Hybrid nanocomposites have wide application in many industries. Nanocomposites with base alloy
ZA27 reinforced with Al2O3 and Gr are commonly used for bearing applications. Taguchi based Grey relational
analysis (GRA) was applied for the multi response optimization of parameters of nanocomposite for improving the
tribological characteristics. In this investigation considered parameters are load (10, 15, 20, 25 N), reinforcement
content of Gr and Al2O3 (1, 2, 3, 4 vol.%), while time and speed are constant as 30 min and 100 rpm, respectively.
ANOVA analysis was used to determine influence parameters on wear loss and coefficient of friction (CoF) of
nanocomposite. It was observed that the most influential parameter on tribological characteristics of nanocomposites
was reinforcement content of Al2O3. Combination of parameters for optimal tribological characteristics is A1B1C4 i.e.
load of 10 N, reinforcement content of 1 vol.% Gr and reinforcement content of 4 vol.% Al2O3. Obtained
nanocomposite has shown good tribological properties which lead to less wear loss and therefore expectedly longer
life of the bearing in various segments of the automotive industry.