Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/31754
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dc.contributor.authorJenarthanan, M P-
dc.contributor.authorNaresh, N-
dc.date.accessioned2015-07-09T04:33:57Z-
dc.date.available2015-07-09T04:33:57Z-
dc.date.issued2015-06-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/31754-
dc.description313-320en_US
dc.description.abstractIn this study, the optimization of process parameters for milling of glass fiber reinforced polymer (GFRP) composites using grey relational analysis has been investigated. Experiments are conducted using helix angle, spindle speed, feed rate, depth of cut and fiber orientation angle as typical process parameters. The grey relational analysis (GRA) is adopted to obtain grey relational grade for milling process with multiple characteristics namely machining force and delamination factor. Analysis of variance (ANOVA) is performed to get the contribution of each parameter on the performance characteristics and it is observed that fiber orientation angle and feed rate are the most significant process parameters that affect the milling of GFRP composites. The experimental results reveal that, the helix angle of 25o, spindle speed of 3000 rpm, feed rate of 500 mm/min, depth of cut of 1 mm and fiber orientation angle of 15o is the optimum combination for lower machining force and lower delamination factor. The experimental results for the optimal setting show that there is considerable improvement in the process.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.22(3) [June 2015]en_US
dc.subjectGFRPen_US
dc.subjectEnd millingen_US
dc.subjectGRAen_US
dc.subjectMachining forceen_US
dc.subjectDelamination factoren_US
dc.titleProcess parameters optimization on machining force and delamination factor in milling of GFRP composites using grey relational analysisen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.22(3) [June 2015]

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