Investigation on Parametric Process Optimization of HCHCR in CNC Turning Machine Using Taguchi Technique

In present scenario, production of any product efficiently with reduced machining time, high accuracy, low surface roughness and high productivity are the major issues. Further, machining parameters plays a vital role in manufacturing a product. Hence, it is necessary to determine the influence of Rate of Metal Removal (MRR) during machining and surface roughness (Ra) after machining. This paper examines the parametric optimization of High Carbon High Chromium Steel (HCHCR) material by using the results after experimenting in CNC turning machine. Its tool tip made of carbide. Inserts are used for producing the lower surface roughness while machining. The process variables considered for optimization such as spindle speed, rate of feed and depth of cut (DOC) in dry turning operation. TAGUCHI TECHNIQUE is used for optimization. Input variables are taken from the experiment. These are analyzed effectively to predict the Ra and MRR using signal to noise ratio, equation of Regression and Variance analysis. Further, an orthogonal array, L9 TAGUCHI TECHNIQUE is applied to identify the performance characteristic affecting surface roughness in turning process. Regression models are developed and validated to predict the surface roughness and AE Signal value. From the analysis, the optimized process parameters are obtained using TAGUCHI TECHNIQUE and L9 orthogonal array. (c) 2018 Elsevier Ltd. All rights reserved.