Abstract:
Most of the industries carry out various machining processes which are the heart of any industry. The processes are getting advanced day by day in order to achieve goal of efficiency. The paper states about one of the processes namely end milling, and experimentally investigates the effect of input parameters on material removal rate and surface roughness for key way cut on particular back shaft. Design of experiment was carried out by Taguchi method using Minitab software. Signal to noise ratio is applied to find optimum process parameters for TMC end milling. Experiment is carried out on EN 8 material of back shaft by end mill. The end mill is solid carbide material cutting tool having four flutes of 8 mm diameter, shank length 30 mm and cutter length 35 mm, used for experiments on a turning milling centre. A L25 orthogonal array and analysis of variance are applied to study the performance characteristic of machining parameters (Cutting Speed, Feed Rate, and Depth of Cut) with considering of higher MRR by maintain surface roughness have been identified. Result obtained by Taguchi method and signal-to-noise ratio match closely by analysis of variance. Regression equation is formulated for estimating predicated value of MRR and surface roughness.
