Record Details

Optimum combination of process parameters to optimize Surface Roughness and Chip Thickness during End Milling of Aluminium 6351-T6 Alloy Using Taguchi Grey Relational Analysis

Independent Journal of Management & Production

View Archive Info
 
 
Field Value
 
Title Optimum combination of process parameters to optimize Surface Roughness and Chip Thickness during End Milling of Aluminium 6351-T6 Alloy Using Taguchi Grey Relational Analysis
 
Creator Sreenivasulu, Reddy
 
Subject Al 6351-T6 alloy, Surface roughness, Chip thickness, Grey relational analysis
 
Description In any machining operations, quality is the important conflicting objective. In order to give assurance for high productivity, some extent of quality has to be compromised. Similarly productivity will be decreased while the efforts are channelized to enhance quality. In this study,  the experiments were carried out on a CNC vertical machining center (KENT and INDIA Co. Ltd, Taiwan make) to perform 10mm slots on Al 6351-T6 alloy work piece by K10 carbide, four flute end milling cutter as per taguchi design of experiments plan by L9 orthogonal array was choosen to determine experimental trials. Furthermore the spindle speed (rpm), the feed rate (mm/min) and depth of cut (mm) are regulated in these experiments. Surface roughness and chip thickness was measured by a surface analyser of Surf Test-211 series (Mitutoyo) and Digital Micrometer (Mitutoyo) with least count 0.001 mm respectively. Grey relational analysis was employed to minimize surface roughness and chip thickness by setting of optimum combination of machining parameters. Minimum surface roughness and chip thickness obtained with 1000 rpm of spindle speed, 50 mm/min feed rate and 0.7 mm depth of cut respectively. Confirmation experiments showed that Gray relational analysis precisely optimized the drilling parameters in drilling of Al 6351-T6 alloy. 
 
Publisher Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
 
Contributor
 
Date 2017-06-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
text/html
 
Identifier http://www.ijmp.jor.br/index.php/ijmp/article/view/546
10.14807/ijmp.v8i2.546
 
Source Independent Journal of Management & Production; Vol 8, No 2 (2017): Independent Journal of Management & Production; 287-298
2236-269X
2236-269X
 
Language eng
 
Relation http://www.ijmp.jor.br/index.php/ijmp/article/view/546/656
http://www.ijmp.jor.br/index.php/ijmp/article/view/546/671
 
Rights Copyright (c) 2017 Reddy Sreenivasulu
http://creativecommons.org/licenses/by/4.0