V2I6P39

Modeling and Optimization of Turning Operations of a Steel Pipe

Ahmad Haruna Muhammad^1*, Oshundairo Mushafau Idowu²

Abstract

The project investigates the optimization of a cutting tool for a lathe machine, specifically experimented for machining steel pipe specimens, employing Response Surface Methodology (RSM). The optimization process focused on three critical factors: tool feed (ranging from 0.1 to 0.5 mm/rev), depth of cut (from 1 to 2 mm), and spindle speed (between 255 and 770 rpm). The objective was to enhance machining performance by optimizing three response variables: temperature, cutting tool wear, and material removal rate. The results revealed that optimal cutting conditions were achieved at a tool feed of 0.3 mm/rev, a depth of cut of 0.5 mm, and a spindle speed of 255 rpm. Under these optimized parameters, the recorded responses were a temperature of 40.56°C, a minimal cutting tool wear of 0.04 mm, and a material removal rate of 35,342.4 mm³/min. This study underscores the application of RSM as an effective tool for parameter optimization in machining processes, ultimately contributing to improved operational efficiency and tool longevity in the cutting of steel pipe specimens.

Keywords:

Cutting temperature, spindle speed, feed rate, RSM, MRR