Application of grey relational analysis for multi variable optimization of process parameters in drilling of polymer based glass fiber reinforced composite

Murthy, B R N and Rajendra, Beedu (2019) Application of grey relational analysis for multi variable optimization of process parameters in drilling of polymer based glass fiber reinforced composite. International Journal Of Mechanical Engineering And Technology, 10 (3). pp. 670-678. ISSN 0976 – 6359

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Abstract

The present work deals with a simple approach which predicts the optimum setting of process parameters of drilling operation on Polymer Based Glass Fiber (PBGF) composite. The process parameters selected are drill angle (DA), Drill diameter (DD), Material Thickness (MT), Speed (N) and Feed (f). The output parameters are Thrust, Torque, Surface Roughness and Delamination. Three levels of each input parameters are considered. Taguchi’s L27 array is used to set the process parameters. Gray relational analysis (GRA) is used to find the optimum value of process parameters. Conduction of ANOVA on GRA shown the significance of each factor on the process output. A conformation test conducted revealed that the setting of parameters ensures optimum output

Item Type: Article
Uncontrolled Keywords: Drilling, PBGF composite, orthogonal array, Gray relational analysis.
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 25 Mar 2019 11:06
Last Modified: 25 Mar 2019 11:06
URI: http://eprints.manipal.edu/id/eprint/153516

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