Exploring Machining Characteristics of AISI A2 Tool Steel in Turning: A Taguchi Approach for Variability Analysis under Diverse Conditions

Abstract

To remain competitive in the market, modern businesses rely on their manufacturing engineers and production staff to quickly and efficiently set up manufacturing processes for new products. Taguchi Parameter Design is a powerful tool for tackling this issue since it is an effective and efficient way for enhancing the output and quality of industrial operations. This paper discusses the use of Taguchi Parameter Design to optimise the surface roughness produced by an HMT Lathe Machine during turning operations. In this study, a noise factor is introduced to a standard L18 orthogonal array to obtain the ideal tuning parameters.When compared to slightly worn jaws, which are a noise factor, spindle speed, feed rate, and depth of cut are all controlled variables. The addition of the noise component strengthens the study's applicability and robustness. This study experimentally turned sample workpieces using the chosen orthogonal array and parameters, and then gave a confirmed combination of controlled factors and a predictive equation for predicting surface roughness with a given set of parameters