Optimal machining conditions for turning of Al/SiC MMC using PSO and Regression analysis

Machining of composite materials is an important and current topic in modern researches on manufacturing processes. In this research study of turning of Aluminium Silicon Carbide (Al/SiC) is investigated. The objective of this research manufactures the AMC through a liquid metallurgical route by varying the percentages of SiC particles (5 % and 10%). The study employs CNC turning operation and establishes a mathematical relationship between three process parameters, e.g., cutting speed, feed, and depth of cut and surface roughness (Ra). The matrix composite used in the study is Aluminium alloy with Silicon Carbide (SiC) particles as the reinforcement. Analysis of variance has been performed to verify the fit and adequacy of the developed mathematical models. In the present work, a multiple regression model is used to represent relationship between input and output variables and Particle Swarm Optimization (PSO) is used to optimize the proces