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1、Composites:PartB50(2013)297–308ContentslistsavailableatSciVerseScienceDirectComposites:PartBjournalhomepage:www.elsevier.com/locate/compositesbGrey-fuzzyalgorithmtooptimisemachiningparametersindrillingofhybridmetalmatrixcompositesa,⇑bcT.Rajmohan,K.Palanikumar,S.PrakashaSriChandrasek
2、harendraSaraswathiViswaMahaVidyalayaUniversity,Enathur,Kanchipuram631561,IndiabSriSaiRamInstituteofTechnology,Chennai600044,IndiacDepartmentofMechanical&ProductionEngineering,SathyabamaUniversity,Chennai600119,IndiaarticleinfoabstractArticlehistory:Metalmatrixcomposites(MMCs)arediffi
3、culttomachineduetotheirabrasiveproperties.WiththeReceived16October2012projectedwidespreadapplicationofMMCs,itisnecessarytodevelopanappropriatetechnologyfortheirReceivedinrevisedform20January2013effectivemachining.ThepresentinvestigationfocusesonfindingtheoptimalmachiningparametersAcc
4、epted26February2013settingindrillingofhybridaluminiummetalmatrixcompositesusingthegrey-fuzzyalgorithm.Thispro-Availableonline7March2013posedalgorithm,couplingthegreyrelationalanalysiswiththefuzzylogic,obtainsagrey-fuzzyreasoninggradetoevaluatethemultipleperformancecharacteristicsacc
5、ordingtothegreyrelationalcoefficientofKeywords:eachperformancecharacteristics.TheTaguchimethodofexperimentaldesignisawidelyacceptedtech-A.Metal–matrixcomposites(MMCs)niqueusedforproducinghighqualityproductsatlowcost,thereforeaL273-levelorthogonalarrayisC.Statisticalproperties/methods
6、E.Machiningusedfortheexperiments.Theoptimisationofmultipleresponsesincomplexprocessesiscommon;D.Electronmicroscopytherefore,toreducethedegreeofuncertaintyduringthedecisionmaking,fuzzyrule-basedreasoningGrey-fuzzyalgorithmisintegratedwiththeTaguchi’smethod.Theresponsetable,responsegr
7、aphandanalysisofvariance(ANOVA)areusedtofindtheoptimalsettingandtheinfluenceofmachiningparametersonthemultipleperformancecharacteristics.Experimentalresultshaveshownthattherequiredperformancecharacter-isticsinthedrillingprocessareimprovedbyusingthisapproach.Ó2013ElsevierLtd.Allrightsr
8、eserved.1.Introduct