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Optimization of Burr size, Surface Roughness and Circularity Deviation during Drilling of Al 6061 using Taguchi Design Method and Artificial Neural Network

Independent Journal of Management & Production

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Field Value
 
Title Optimization of Burr size, Surface Roughness and Circularity Deviation during Drilling of Al 6061 using Taguchi Design Method and Artificial Neural Network
 
Creator Sreenivasulu, Reddy
 
Subject MECHANICAL ENGINEERING, PRODUCTION
Al 6061 Alloy, Drilling, Taguchi Design method, S/N ratio, ANOVA, Artificial Neural Network
 
Description This paper presents the influence of cutting parameters like cutting speed, feed rate, drill diameter, point angle and clearance angle on the burr size, surface roughness and circularity deviation of Al 6061 during drilling on CNC vertical machining center. A plan of experiments based on Taguchi technique has been used to acquire the data. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate machining characteristics of Al 6061 using HSS twist drill bits of variable tool geometry and maintain constant helix angle of 45 degrees. Confirmation tests have been carried out to predict the optimal setting of process parameters to validate the used approach, obtained the values of 0.2618mm, 0.1821mm, 3.7451µm, 0.0676mm for burr height, burr thickness, surface roughness and circularity deviation respectively. Finally, artificial neural network has been applied to compare the predicted values with the experimental values, good agreement was shown between the predictive model results and the experimental measurements.
 
Publisher Independent
 
Contributor R.V.R&J.C COLLEGE OF ENGINEERING
 
Date 2015-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
text/html
 
Identifier http://www.ijmp.jor.br/index.php/ijmp/article/view/254
10.14807/ijmp.v6i1.254
 
Source Independent Journal of Management & Production; Vol 6, No 1 (2015): Independent Journal of Management & Production; 093-108
2236-269X
 
Language eng
 
Relation http://www.ijmp.jor.br/index.php/ijmp/article/view/254/212
http://www.ijmp.jor.br/index.php/ijmp/article/view/254/434