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Optimization of Process Parameters in Milling Operation by Taguchi’s Technique Using Regression Analysis.


Author(s):

Sunil S. Panshetty , Suman Ramesh Tulsiani Technical Campus-Faculty of Engineering, Khamshet, Pune, India; Parag V Bute, Suman Ramesh Tulsiani Technical Campus-Faculty of Engineering, Khamshet, Pune, India; Rohit R. Patil, Suman Ramesh Tulsiani Technical Campus-Faculty of Engineering, Khamshet, Pune, India; Jitendra B. Satpute, Suman Ramesh Tulsiani Technical Campus-Faculty of Engineering, Khamshet, Pune, India

Keywords:

ANOVA; Milling; MRR; Ra; Taguchi’s method

Abstract:

The present work highlights the optimization of Computerized Numerical Control (CNC) milling Process Parameters to provide a better surface finish and high Material Removal Rate (MRR). As Taguchi’s method reduces the number of experiments, it is used for optimization of machining parameters. It is applied to find out the influence of various machining parameters like Speed, Feed rate, Depth of cut on Surface finish and MRR. The material used in this experiment is Al 7075 of size 100mm*100mm*10mm and the pocketing operation of size 20mm*20mm is carried out on vertical CNC milling machine by 12 mm carbide tool. L9 Orthogonal Array (OA) is used to carry out the experimentation. MINITAB-14 Software is used to analyse the result. Surface roughness (Ra) was measured and the MRR values were calculated to determine optimum levels. Results obtained were plotted for Ra, MRR v/s Speed, feed rate, depth of cut. In this Study, it is observed that the order of Significance of the main Variable for Surface Roughness (Ra) is Speed; Feed & Depth of Cut (DOC) whereas for MRR, the Order of Significance is DOC, Feed rate & Speed.


Other Details:

Manuscript Id :IJSTEV2I11053
Published in :Volume : 2, Issue : 11
Publication Date: 01/06/2016
Page(s): 130-136
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