Title of article :
Analysisofthecriticalheatfluxinroundverticaltubesunderlowpressureandflowoscillationconditions.ApplicationsofartificialneuralnetworkReviewArticle
Author/Authors :
SuGuanghui، نويسنده , , KMorita، نويسنده , , KFukuda، نويسنده , , MarkPidduck، نويسنده , , JiaDounan، نويسنده , , JaakkoMiettinen، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Abstract :
Artificialneuralnetworks(ANNs)forpredictingcriticalheatflux(CHF)underlowpressureandoscillationconditionshavebeentrainedsuccessfullyforeithernaturalcirculationorforcedcirculation(FC)inthepresentstudy.TheinputparametersoftheANNarepressure,meanmassflowrate,relativeamplitude,inletsubcooling,oscillationperiodandtheratiooftheheatedlengthtothediameterofthetube,L/D.TheoutputisanondimensionalizedfactorF,whichexpressestherelativeCHFunderoscillationconditions.BasedonthetrainedANN,theinfluencesofprincipalparametersonFforFCwereanalyzed.TheparametrictrendsoftheCHFunderoscillationobtainedbythetrainedANNareasfollows:theeffectsofpressurebelow500kPaarecomplexduetotheinfluenceofotherparameters.Fwillincreasewithincreasingmeanmassflowrateunderanyconditions,andwilldecreasegenerallywithanincreaseinrelativeamplitude.Fwilldecreaseinitiallyandthenincreasewithincreasinginletsubcooling.TheinfluencecurvesofmeanmassflowrateonFwillbealmostthesamewhentheperiodisshorterthan5.0sorlongerthan15s.TheinfluenceofL/DwillbenegligibleifL/D>200.Itisfoundthattheminimumnumberofneuronsinthehiddenlayerisaproductofthenumberofneuronsintheinputlayerandintheoutputlayer.
Journal title :
Nuclear Engineering and Design Eslah
Journal title :
Nuclear Engineering and Design Eslah
