Parametric Optimization in Turning Process of Galvanized Iron Metal using Taguchi Based Six Sigma Technique

Abstract

The Six Sigma approach is utilized in this research to improve the quality of process outputs while machining Galvanized Iron in turning process. The main objective of the present work is to improve the output characterization of MRR (Material Removal Rate) by optimizing the turning process parameters. Taguchi's parameter design is a method for optimizing control settings in Design of Experiments (DOE) to achieve the best results. An orthogonal array offers a framework of equal minimal experiments for prediction and diagnosis of optimal outcomes. The Material Removal Rate (MRR) is evaluated for each experiment. The response fluctuation was investigated using the Signal to Noise (S/N) ratio. In Miniutab 19 software, Taguchi technique reduces quality characteristic variation owing to uncontrollable parameters. Furthermore, statistical analysis reveals that the standard deviation and mean value of confirmatory trial results were lower than it was before Taguchi design run data.