Open AccessOptimization of process parameters on commercial mild steel using taguchi technique
Author(s) -
V. Jaiganesh,
B. Yokesh Kumar,
P. Sevvel,
A. Jayanth Balaji
Publication year - 2017
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.1.9213
Subject(s) - taguchi methods , orthogonal array , surface roughness , chip , design of experiments , materials science , surface finish , process (computing) , software , graph , mechanical engineering , computer science , mathematics , engineering , composite material , statistics , telecommunications , theoretical computer science , programming language , operating system
In the present scenario of bulk manufacturing where Metal Removal Rate (MRR), Chip Thickness Ratio (CTR) and Surface Roughness (SR) is of significant importance in manufacturing the component using CNC (computer numerical controlled) machines. Nine experiments were conducted based on orthogonal array. General linear model has been generated for all the three output parameters such as (MRR, Chip Thickness Ratio surface roughness) versus input parameters (speed, time, depth of cut). The statistical method called the analysis of variance (ANOVA) is applied to find the critical factor. The Main effects of S/N ratio values are found and plotted in the form of graph. The optimized value is found for speed, time, and depth of cut by using “MINITAB” software. By using this optimized value the efficient metal cutting can be done in commercial mild steel.