JME_V4_N1_RP5 Naresh Neeli K. Rajasekhar Journal on Mechanical Engineering 2249 - 0744 4 1 28 34 AISI 304 Stainless Steel, ANOVA, Milling, MRR, Surface Roughness, Taguchi Method AISI 304 stainless steel has wide applications in fabrication, architectural panelling, paper industry, food and pharmaceutical production equipment, nuclear vessels and cryogenic vessels. Austenitic steels are hard materials to machine, due to their high strength, high ductility, low thermal conductivity and excellent corrosion resistance in a wide variety of environments. This paper presents optimisation of machining parameters for milling AISI 304 stainless steel. In this work, a plan of experiments based on Taguchi's L orthogonal array was established and milling experiments were 27 conducted with prefixed process parameters using tungsten carbide end mill. The machining parameters such as, cutting speed, feed rate and depth of cut were optimised with the objective of minimizing the surface roughness (Ra) and maximizing the Material Removal Rate (MRR). Finally an analysis of variance (ANOVA) was performed for finding the effects of each parameter on the surface roughness and the Material Removal Rate. It is being inferred that cutting speed has the main influence on the surface roughness and as it increases, the surface roughness also increases. The depth of cut has the most important influence on material removal rate and as it increases, the material removal rate also increases. November 2013 - January 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2578