Optimizing Cutting Parameters in Turning Operations through the Taguchi Method for Multi-Objectives Purpose (KEY IJP************157)

• Kalpana

Abstract

This study focuses on the parametric optimization of the turning process using the Taguchi method to enhance the quality of manufactured goods and advance engineering design for variability analysis. The experiment involves utilizing SS-304 as the workpiece to optimize material removal rate and surface roughness, considering three key machining parameters: spindle speed, feed rate, and depth of cut. By systematically varying one parameter at a time while keeping the others constant, the project employs dry turning of SS-304 steel with a carbide insert tool (SNMG120408MS, SNMG432MS). The cutting parametersrange includes cutting speed (40, 66, and 92 mmin), feed rate (0.05, 0.1, and 0.15 mmrev), and depth of cut (0.25, 0.5, and 0.75 mm). The Taguchi orthogonal array, designed using Minitab version 16 software, incorporates three levels of turning parameters. The Taguchi method emphasizes studying response variation through the signal-to-noise (SN) ratio to minimize the variation in quality characteristics caused by uncontrolled parameters. This approach proves effective in optimizing various machining parameters by reducing the number of experiments. The results reveal optimal values for the input factors, validated through a confirmatory test.