Optimization of process parameters for surface temperature in laser-assisted machining of Nb C103 alloy using taguchi method

Abstract

In the current paper, laser-assisted machining (LAM) was used to get the machin ability characteristics of Niobium C-103. Taguchi Technique (TT) was utilized to develop a mathematical model for machining, which will serve the functional relationship between process parameters (cutting speed (CS), laser power (LP), feed (F), and depth of cut (DoC)) with a surface temperature of a cutting process. Taguchi technique was used to optimize the process parameters on surface temperature. Machining was performed on the workpiece considering the L9 array of Taguchi technique and the mathematical model was developed. Main effect graphs and signal-to-noise ratio were used to examine the influence of various experimental variables on the response. The obtained results showed that both LP and CS were the most influencing input variables on surface temperature among all other factors. Single objective optimization was employed to obtain the optimal parametric combinations and proposed for a minimum surface temperature through regression analysis.