Multi-Response Optimization of Al2024/Red Mud MMC Using Principal Component Analysis
In this paper stir casting process parameters of the developed Metal Matrix Composite are optimized using
Principal Component Analysis (PCA). Aluminium alloy 2024 is used as the matrix material and red mud is used as the
reinforcement. Taguchi’s L9 orthogonal array is used to design the experiment. Three parameters are considered for
optimization process namely reinforcement percentage, grain size and blade angle. Response variables considered for the
optimization process are tensile strength and microhardness. ANOVA is applied to find the effect of individual factor on the
mechanical properties of the MMC. Results reveal that grain size was the most significant factor followed by reinforcement
percentage and blade angle.
Keywords— PCA, Taguchi, ANOVA, AL2024, Red Mud.