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dc.contributor.authorBabu, K V-
dc.contributor.authorUthayakumar, M-
dc.contributor.authorJappes, J T W-
dc.contributor.authorRajan, T P D-
dc.date.accessioned2024-02-27T13:26:18Z-
dc.date.available2024-02-27T13:26:18Z-
dc.date.issued2015-10-01-
dc.identifier.citationInternational Journal of Manufacturing, Materials, and Mechanical Engineering;5(4):17-31en_US
dc.identifier.urihttps://doi.org/10.4018/ijmmme.2015100102-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4787-
dc.description.abstractThisstudy revealsthe multi objective optimization of machining parametersin drilling of SiC reinforced with aluminium metal matrix compositesthrough grey relational analysis. The composite is prepared with varying volume fraction ofthe reinforcement by liquidmetalstir casting technique.Uniformdistribution of SiCparticle in the matrix is witnessed through microscopy study and observed that the hardness and strength on different composite. The drilling experiments were performed with coated carbide tool with different point angle such as 90o , 120o and 140o . Cutting speed, feed, point angle and volume fraction are considered as input parameters and the performance characteristics such as surface roughness and thrust force are observed as output response in thisstudy. The significant contributions of these factors are determined usingAnalysis of Variance (ANOVA). The optimized process parameters have been validated by the confirmation test. The experimental result shows that point angle influences more on output performance followed by feed and cutting speed.en_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.subjectANOVAen_US
dc.subjectDrillingen_US
dc.subjectGrey Relational Analysisen_US
dc.subjectMetal Matrix Compositesen_US
dc.subjectPoint Angleen_US
dc.titleOptimization of Drilling Process on Al-SiC Composite Using Grey Relation Analysisen_US
dc.typeArticleen_US
Appears in Collections:2015



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