Optimization of feed force, tangential force and surface roughness by using grey based Taguchi method

This study investigated the optimization of turning process parameters such as cutting speed, feed rate and depth of cut on EN-19 material using the Grey Relational Analysis (GRA) method. Twenty seven experimental runs based on an orthogonal array of Taguchi method were performed. The feed force (F X), tangential force (FY) and surface roughness (R a) were selected as the quality targets. An optimal parameter combination of the turning operation was obtained using GRA. By analyzing the grey relational grade matrix, the degree of influenced for each controllable process factor onto individual quality targets can be found. The depth of cut is identified to be the most influence on feed force and tangential force, and feed rate is the most influential factor to the surface roughness. Additionally, the analysis of variance (ANOVA) was also applied to identify the most significant factor; the depth of cut is the most significant controlled factor for the turning operation according to the weighted sum grade of the feed force, tangential force and surface roughness.