Studies on Process Parameter Optimization of Inconel 718 Turning Operation using Taguchi based Grey Relational Analysis

Abstract

Accompanying the development of mechanical industry, the demand for alloy materials having high hardness, toughness and impact resistance are increasing. Nevertheless, such materials are difficult to be machined by traditional machining method. Hence CNC machines are used to machine such materials, which are capable of producing fine, precise, corrosion and wear resistance surfaces. The problem of arriving at optimal levels of operating parameters has attracted the attention of the researchers and practicing engineers, for a very long time. Thus, this paper demonstrates the optimization of the process parameter of machining Inconel 718 super alloy material via., the Taguchi methodbased grey analysis. The modified algorithm adopted here was successfully used for both detraining the optimum settings of machine parameters and for combining multiple quality characteristics into one integrated numerical value called grey relational grade. An attempt has been made to identify the influence of various cutting parameters i.e., speed, feed rate and depth of cut on physical part characteristics i.e., metal removal rate and surface roughness. The predictions of optimal process parameter with respect to the response are the end results of the paper.