A Review on Parametric Optimization of Aluminum alloy-1200 & EN-31 in CNC Surface Milling using Taguchi Method

Authors(2) :-Kathamore P. S., Dr .R. R. Arakerimath

The Present paper outlines an experimental study to optimize the effect of the cutting speed, feed rate and Dept of cut on surface roughness of Aluminum Alloy 1200 & Steel EN 31 by employing Taguchi technique. This paper deals with optimization of the selected Milling Parameter, i.e. cutting speed, Feed rate, Depth of cut and Coolant Flow Rate.Taguchi Orthogonal Array is designed with Three Level of milling parameter & different experiments are done using L9 (34) Orthogonal Array, Containing 4 columns which represent four factors & Nine rows which represents nine experiments to be calculated and value of each parameter was obtained. The nine experiments are performed and surface roughness, MRR, Temperature & Cycle Time of cut is Calculated for both material. The practical result can be used in industry to get the desirable Surface Roughness and Material Removal Rate for the work piece by using suitable parameter combination.

Authors and Affiliations

Kathamore P. S.
P.G.Student, Dept. of Technology, S.P. Pune University,Pune, Maharastra, India
Dr .R. R. Arakerimath
Professor, Department of Mechanical Engineering, GHRCOE, Wagholi, Pune, Maharastra, India

Aluminium Alloy 1200 & EN-31, Cycle time cut, cnc end milling, Coolant Flow rate, DOC, Feed rate, SR, MRR, Taguchi Technique, Temperature, Speed of Cutting.

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2016
Date of Publication : 2016-02-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 293-295
Manuscript Number : IJSRSET162134
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Kathamore P. S., Dr .R. R. Arakerimath, " A Review on Parametric Optimization of Aluminum alloy-1200 & EN-31 in CNC Surface Milling using Taguchi Method, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.293-295, January-February-2016.
Journal URL : http://ijsrset.com/IJSRSET162134

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