Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/23467
Title: Multi objective optimization in drilling of Al6063/10% SiC metal matrix composite based on grey relational analysis
Authors: Singh S.
Singh, Inderdeep
Dvivedi, Akshay
Published in: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Abstract: A grey relational analysis is a novel technique for forecast, developing relational analysis and in decision-making in numerous areas of manufacturing or production processes in industry. In this investigation, an attempt has been made to optimize input process parameters considering assigned weight fraction of output quality characteristics using grey relational analysis. The output quality characteristics considered are thrust force, torque and surface roughness under the experimental domain of cutting speed, feed, step diameter and point angle. The drilling experiments were designed as per Taguchi design of experiments using L9 orthogonal array. The combined methodology of orthogonal array design of experiments and grey relational analysis was implemented to establish the best possible input process parameters that give minimum thrust force, torque and surface roughness. The results reveal that with the help of grey relational analysis, output quality characteristics can be enhanced efficiently. © IMechE 2013.
Citation: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 227(12): 1767-1776
URI: https://doi.org/10.1177/0954405413494383
http://repository.iitr.ac.in/handle/123456789/23467
Issue Date: 2013
Keywords: Drilling
Grey relational analysis
Metal matrix composites
Optimization
Surface roughness
Thrust force
ISSN: 9544054
Author Scopus IDs: 57209809969
56375560400
17345827700
Author Affiliations: Singh, S., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Singh, I., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Dvivedi, A., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Corresponding Author: Singh, S.; Department of Mechanical and Industrial Engineering, , Roorkee, Uttarakhand 247667, India; email: sarb1234.iitr@gmail.com
Appears in Collections:Journal Publications [ME]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.