Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-04-30
2024-02-24
2024-01-04
Abstract—Recently EN8 steel finding many applications in manufacturing of parts such as axle, shaft gear and fasteners due to their high tensile strength property. Optimum machining parameters of milling operations are great concern with manufacturing environment. In this experimental investigation was observed the machining performance with various cutting speed, feed and depth of cut using side and face milling cutter. Mainly surface roughness where investigated employing Taguchi design of experiments and analysis of variance (ANOVA). The significant machining parameters are identified by using signal to noise ratio. The result of the experiments indicates cutting speed play a dominating role in surface roughness in milling process parameters. Index Terms—EN8 steel, Machining parameters, Taguchi methodology, S/N ratio, ANOVA
Cite: R Ashok Raj, T Parun, K Sivaraj, and T T M Kannan, "Optimization of Milling Parameters of EN8 Using Taguchi Methodology," International Journal of Mechanical Engineering and Robotics Research, Vol.2, No. 1, pp. 202-208, January 2013.
