Optimization of Multiple Roughness Characteristics for Turning of AISI 1040 Steel under Different Cutting Conditions

Abstract

The present work aims to optimize multiple roughness characteristics i.e. centre line average, root mean square and mean line peak spacing roughness parameters for AISI 1040 medium carbon steel for turning operation. The turning parameters considered are feed rate, depth of cut and cutting condition and are varied at three different levels. Since the present investigation considers three process parameters at three different levels, the combinations laid down in Taguchi’s L9 orthogonal array is employed to carry out the experiments. Grey relational analysis is used for the optimization. Optimal surface roughness is achieved for a depth of cut of 0.4 mm, feed rate of 0.07 mm/rev and under water cooled cutting condition. Analysis of variance revealed the highest contribution from feed rate in controlling the surface roughness.

Experimental investigation and parametric optimization of rotary ultrasonic machining of different bio-ceramic materials

“…The optimization of parameters is a vital step in improving the performance and efficiency of many operations. Taguchi-Grey relational analysis is a technique that evaluates multiple variables simultaneously in engineering & production [38][39][40]. The analysis begins with the selection of control factors and their corresponding levels.…”