Optimization of Machining Parameters on End Milling of EN 8 Back Shaft for Power Press
By: Sosa, Prakash B
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Contributor(s): Makwana, Rishabh D | Acharya, G. D.
Publisher: New Delhi STM Journals 2018Edition: Vol. 8(3), Sep-Dec.Description: 49-58p.Subject(s): Mechanical EngineeringOnline resources: Click here
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Recent trends in mechanical engineering & technology (TMET)Summary: The most of the industries carried out various machining processes are the heart of any industries. The processes are advanced day by day in order to achieve goal of efficiency. The paper state about one of the process namely end milling on 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 carried out by taguchi method using Minitab software. Signal to noise ratio is applied to find optimum process parameter 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 flute 8 mm diameter, shank length 30 mm and cutter length 35 mm is used for experiments on a turning milling centre. A L25 orthogonal array and analysis of variance are applied to study the performance characteristic of maching 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.
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School of Engineering & Technology Archieval Section | Not for loan | 2018631 |
The most of the industries carried out various machining processes are the heart of any industries. The processes are advanced day by day in order to achieve goal of efficiency. The paper state about one of the process namely end milling on 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 carried out by taguchi method using Minitab software. Signal to noise ratio is applied to find optimum process parameter 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 flute 8 mm diameter, shank length 30 mm and cutter length 35 mm is used for experiments on a turning milling centre. A L25 orthogonal array and analysis of variance are applied to study the performance characteristic of maching 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.
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