简介：Thejoiningofa6-mmthicknessAl6061toStainlesssteel304hasbeenperformedbysolidstatewelding.Aselectionmethodofoptimumfrictionweldingconditionusingneuralnetworksisproposed.Thedatausedforanalysesarethefrictionstirweldingcondition,theinputparametersofthemodelconsistofweldingspeedandtoolrotationspeed.TheoutputsoftheANN(ArtificialNeuralNetwork)modelincludesresultingparameters,namely,maximumreachedtemperature,andheatingrateforbothaluminumalloy6061andstainlesssteel304duringfrictionstirweldingprocess.Theresultsofanalysissuggestthattheproposedmethodisaneffectiveonetoselectanoptimumweldingcondition.GoodperformanceoftheANNmodelwasachieved.Thecombinedinfluenceofweldingspeedandtoolrotationspeedonthemaximumreachedtemperatureandheatingrateforbothaluminumalloy6061andstainlesssteel304frictionstirweldingwassimulated.AcomparisonwasmadebetweentheoutputoftheANNprogramandfiniteelementmodel.Thecalculatedresultswereingoodagreementwiththatoffiniteelementmodel.