CNTs Reinforced Aluminum 6061 MMCs’ Machining Parameters Optimized by Design of Experiment

Machining process optimization is typically predicated on minimizing production costs, improving the production rate, or attaining the best possible surface quality by utilizing empirical relationships between tool life and operating parameters. This study investigates the optimization of machining parameters for Aluminum 6061 reinforced with Carbon Nanotubes (CNTs) using the stir casting process. The goal is to achieve optimal surface finish and material removal rate (MRR) while minimizing tool wear during machining. Through a combination of experimental design, response surface methodology (RSM), and analysis of variance (ANOVA), the study identifies the key parameters that influence machining performance. The results provide insights into the interplay between cutting speed, feed rate, and depth of cut in achieving superior machining outcomes for this advanced composite material.