Using the orthogonal array with grey relational analysis to optimize the laser hybrid welding of a 6
Usingtheorthogonalarraywithgreyrelationalanalysis985
Table7Responsetableforthegreyrelationalgrade
Greyrelationalgrade
Factor
A
B
C
D
E
F
G
H
Totalmeanvalueofthegreyrelationalgrade¼
0.7576WeldingparameterWeldingwiretypeShieldinggasLaserpowerLaserfocusTravellingspeedWeldingwirefeedrateRootopeningtoleranceVoltageLevel10.71190.74670.75500.76560.81270.73170.72080.8042Level20.80330.76040.74780.66300.72520.69370.81280.7127Level3–0.76570.76990.84420.73480.84740.73930.7559Max-min0.09140.01890.02210.18110.08750.15370.09200.0915
Fig.3Greyrelationalgradegraph
3.2Analysisofvariance
Theprocessparameterswhichsignificantlyaffectthe
weldingperformancecharacteristicareobtained
throughtheanalysisofvariance(ANOVA)approach
[11,12].TheANOVAapproachseparatesthetotal
variabilityofthegreyrelationalgradesintocontri-
butionsbyeachoftheweldingparametersandits
associatederror.Thetotalvariabilityofthegradeis
computedbythesumofthesquareddeviations
fromthetotalmeanofthegreyrelationalgrade.
ThetotalsumofthesquareddeviationSSTis
calculatedas
SST¼nX
i¼1comparisonsbetweenparameters.Forexample,athree-levelparametercountsfortwodegreesoffreedom.Thecontributionpercentageforeachweldingparameterinthetotalsumofthesquareddeviationsisusedtoevaluatetheimportanceoftheprocessparameter.Inaddition,theF-test[16]statisticallyprovidesadecisionatsomeconfidencelevelastowhethertheseparametershaveanimportanteffectontheperformancecharacteristic.AlargeF-valueindicatesthatthechangeoftheweldingparameterhasmadeasignificantdifferencetotheperformancecharacteristic.FromtheANOVAresultspresentedinTable8,thelargestpercentagecontributionofthethreesignificantweldingparameters,namelythelaserfocus(D),theweldingwirefeedrate(F),andtheweldingwiretype(A),areselectedas29.56percent,22.95percent,and22.44percent,respectively.Fromtheanalysisofcontributiontotheprocess,theabovetwofactorsaresignificantvariablefactorsforimprovingthequalityofhybridwelding.3.3.VerificationanddiscussionTheTaguchiDOE[6,7,17]approachisalsoanopti-mumdesignmethodology.Inthisresearch,theTaguchiDOEapproachiscomparedwiththeoutputofthegreyrelationalanalysis.TheTaguchiDOEapproachhasthesamedefinitionsfordatapre-processingwhicharedependentonthetypeofexperimentalresult.Similartothegreyrelationalgeneratingprocess,ahighvalueofDOEcomputationisconsideredtobeindicativeofagoodcharacteristic
oftheexperimentalresult.Theidenticalvaluesofthe
ultimatetensilestrengths,whichareusedinthegrey
relationalanalysis,arerearrangedasfollows
"#mX11SN¼À10logð6Þmi¼1yiwhereSNisthesignal-to-noise(SN)ratioinunits
ofdecibels.AhighvalueofSNisconsideredto
Proc.IMechEVol.222PartB:J.EngineeringManufactureðgiÀgmÞ2ð5Þwheregmistheaverageofthesumofthegreyrelationalgrade,nisthenumberofexperimentsintheorthogonalarray,andgiisthemeanofthegreyrelationalgradefortheithexperiment.ThetotalsumofthesquareddeviationsSSTisseparatedintotwotypeswhicharethesumofthesquareddeviationoftheweldingprocessparameters(SSP)andthesumofthesquarederror(SSE).ThedegreesoffreedomaredefinedasthenumberofJEM1070ÓIMechE2008