简介：TopromotetheapplicationofMgalloytomotorcyclewheeltoreduceweight,thefatigueanalysesofwheelsmadeofA356,AM60BandredesignedAM60Bunderthesameserviceconditionwerecarriedout,revealingthatthepeakstressisreducedby25.6%andstressdistributionbecomesmoreuniforminMg-alloywheelduetoitslowerelasticmodulusincomparisonwithAlalloys.TheservicestresslevelofredesignedMgwheelisrelaxedfurtherbecauseofitsoptimizedstructurebyalteringthespokeconfigurationandincreasingthefilletbetweenspokeandring,satisfyingthedesiredreliabilitywith30%weightsaving.

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