Study on model of onset of nucleate boiling in natural circulation with subcooled boiling using unas
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Mathematic,Model
NuclearEngineeringandDesign235(2005)
2275–2280
Studyonmodelofonsetofnucleateboilinginnaturalcirculation
withsubcooledboilingusingunascertainedmathematics
ZhouTaoa, ,WangZenghuib,YangRuichanga
ab
DepartmentofThermalEngineering,TsinghuaUniversity,Beijing100084,ChinaDepartmentofEngineeringMechanics,TsinghuaUniversity,Beijing100084,China
Received16July2004;receivedinrevisedform14March2005;accepted14April2005
Abstract
Experimentdatagotfromonsetofnucleateboiling(ONB)innaturalcirculationisanalyzedusingunascertainedmathematics.UnitarymathematicsmodeloftherelationbetweenthetemperatureandonsetofnucleateboilingisbuiltuptoanalysisONB.Multipleunascertainedmathematicsmodelsarealsobuiltupwiththeonsetofnaturalcirculationboilingequationbasedontheexperiment.Unascertainedmathematicsmakesthataf rmativeresultsarearangeofnumbersthatre ectthe uctuationofexperimentdatamoretruly.The uctuatingvaluewiththedistributionfunctionF(x)isthefeatureofunascertainedmathe-maticsmodelandcanexpress uctuatingexperimentaldata.Realstatuscanbeactuallydescribedthroughusingunascertainedmathematics.Thus,forcalculationofONBpoint,thedescriptionofunascertainedmathematicsmodelismoreprecisethancommonmathematicsmodel.Basedontheunascertainedmathematics,anewONBmodelisdeveloped,whichisimportantforadvancedreactorsafetyanalysis.Itisconceivablethattheunascertainedmathematicscouldbeappliedtomanyothertwo-phasemeasurementsaswell.
©2005ElsevierB.V.Allrightsreserved.
1.Introduction
Toimprovethesafety,naturalcirculationisinde-pendentofoutsideconditionandonlydependentontheorderofnature-gravityprinciple,heattransferprincipleandsoon.Especiallywiththeintensityandimprove-mentofinherentsafetyinreactor,naturalcirculation
Correspondingauthor.
Tel.:+861062788467/62772166/13681148628;fax:+861062770209.
E-mailaddress:zhoutao@(Z.Tao).
0029-5493/$–seefrontmatter©2005ElsevierB.V.Allrightsreserved.doi:10.1016/j.nucengdes.2005.04.003
becomesgraduallytobemoreimportant.Naturalcirculationisnotunderstoodclearlyandinvestigatedcomparingwithforcedcirculationsofar.Theresearchonnaturalcirculationonsetofnucleateboiling(ONB)isnotmaturenow.ONBpoint(Yangetal.,1999)mayin uencedirectlytheheattransferofnaturalcirculationandcanproducebigin uenceonthesafetyofreactorsystem(KukitoandTasake,1989;Sunetal.,2003).SotheresearchofONBpointisanimportantproject.TheONBequationscomemainlyfromforcedcirculationinsomeresearchtheoryandareusedwidelyincalcula-tiontoday.AlthoughtherearesomeONBexperiential
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2276Z.Taoetal./NuclearEngineeringandDesign235(2005)2275–2280
equationsonnaturalcirculation,theyarelocalizedbyexperimentcondition.Moreover,theexperimentdataare uctuatingvalueinmeasurement.Howexpressexactlyvalueinmeasurementisproblem.Unascertainedmathematics(Liuetal.,1997)extendsrealnumber,whichcannotexpressunascertainedinformationandformsanewnumericalsystem,unascertainedmathematicssystemincludingrealnumber.Thenewnumericalsystemspreadsfromoriginalmathematicsandbuildsmathematicsthe-oryofunascertainedmathematics.The uctuatingvaluecanbeexpressedandcalculatedinexperimentmeasurement.TheexperimentdataofONBcanbein uencedbysomeuncertainconditions.Therefore,unascertainedmathematicsisusedtobuildthemodeltoanalyzeexperimentdataandexpressONBexactly.Theexploratorydevelopmentwillbeimportantforthedesignofnaturalcirculationadvancedreactor.
2.Principleandoperation2.1.Concept
Realmemberofunascertainedinformationisx0inunascertainedmathematics,andunascertainedinfor-mationcouldbeuniquelycon rmedbythedegreeofbeliefdistributionfunctionF(x).F(x)representssub-jectiveprobabilitydistributionandsubjectivedegreeofthemembershipindifferentinstance.Sounascer-tainedinformationcouldbeexpressedasageneralizednumberwhichisaintervalnumberwithadditioninfor-mationandbecalled“unascertainednumber”.
Itsde nition(Liuetal.,1997)isfollowingform.IfthefunctionF(x)satis esthefollowingconditionininterval[a,b]:
(1)F(x)isanon-decreasingcontinuousfunctionin
( ∞,+∞);(2)0≤F(x)≤1;
(3)whenx<a,F(x)≡0;whenx≥b,F(x)≡F(b)=1,
[a,b]andF(x)willconstituteaunascertainednum-berrecordingas{[a,b],F(x)}.[a,b]iscalledasdistributionintervalofunascertainednumberandF(x)isdistributionfunctionofunascertainednum-ber.ThemeaningofF(x)isthedegreeofbeliefofx0ininterval( ∞,x]andthedegreeofbeliefofx0isF(xj) F(xi)ininterval(xi,xj].
2.2.Arithmeticoperationofunascertainednumber
2.2.1.Addition
If{[a,b],F(x)}and{[c,d],G(x)}aremutuallyindependentcontinuousunascertainednumber,thefol-lowingequaitonwillbegot:{[a,b],F(x)}⊕{[c,d],G(x)}
={[a+c,b+d],H(x)}(1)
whereH(x)= ∞+∞
F(x t)dG(t)andunascertainednumber{[a+c,b+d]}iscalledthesumof{[a,b],F(x)}and{[c,d],G(x)},H(x)isthedistributionofsum(Liuetal.,1997).
2.2.2.Subtraction
If{[a,b],F(x)}and{[c,d],G(x)}aremutuallyinde-pendentcontinuousunascertainednumber,wede ne{[a,b],F(x)} {[c,d],G(x)}
={[a d,b c],C(x)}(2)
whereC(x)= ∞+∞
F(x+t)dG(t)andunascertainednumber{[a d,b c],C(x)}iscalledthedifferenceof{[a,b],F(x)}and{[c,d],G(x)},C(x)isthedistributionofdifference.
2.2.3.Multiplication
If{[a,b],F(x)}and{[c,d],G(x)}aremutuallyinde-pendentcontinuousunascertainednumber,wede ne{[a,b],F(x)} {[c,d],G(x)}={[a,b]×[c,d],Z(x)}(3)
where,[a,b]×[c,d]
=[min(ac,ad,bc,bd),max(ac,ad,bc,bd)]
Z(x)= iscalledas0+∞F x dG(t)+ 0
1 F x dthedistributionofproduct.
∞G(t)2.2.4.Division
If{[a,b],F(x)}and{[c,d],F(x)}aremutuallyinde-pendentcontinuousunascertainednumberandthereisnotinitialpointininterval[c,d],wede ne
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Z.Taoetal./NuclearEngineeringandDesign235(2005)2275–2280
Table1
TheONBpositionandtheinlettemperatureofnaturalcirculationI123
T/X2( C)29.120031.196431.5893
Z/X1(m)0.25750.19250.1425
2277
{[a,b],F(x)} ÷{[c,d],G(x)}
11
=[a,b] ,,S(x)
dc
S(x)=
0+∞
thepressureis1.2MPa,the ow uxisintherangeof0.5–0.54kgs 1andtheheatpowerisintherangeof0.35–0.50kW.Thereareexperimentdata(Yangetal.,2001)ofONBpositionandinlettemperatureofnaturalcirculationinTable1.
FirstlinearempiricalequationisbuiltupwithdatainTable1betweentheinlettemperatureandtheONBpositionZZ=a×T+b
(5)
(4)
F(xt)dG(x)+
Usingdataof(1)and(3)inTable1andleastsquarestechniques,wegetfollowingequation:a= 0.0465719,
b=1.6136738
Z= 0.0465719T+1.6136738
(6)
∞
[1 F(xt)dG(x)
whenc>0,itconvertsas
{[a,b],F(x)} ÷{[c,d],G(x)}
aa bb=min,,max,,S(x)
cdcd +∞
whereS(x)=0F(xt)dG(t)whend<0,theresultis{[a,b],F(x)} ÷{[c,d],G(x)}
aa bb=min,,max,,S(x)
cdcd 0
whereS(x)= ∞[1 F(xt)]dG(t)3.Applicationexample
3.1.Onedimensionunitaryunascertainedmathematicsmodel
Nowwewillcompareunascertainedmathematicswithcommonmathematicsmodelofrelationbetweentheinlettemperatureofnaturalcirculationandtheloca-tionofONBpoint.Thetestsectionisanannulartubewhoseinnertubediameteris10mmandoutertubediameteris20mm,andtheequivalentdiameterisequalto10mm.Theheatlengthis1065mmwithR12.When
IfusingcommonmathematicsandT=31.1964 C,wewillgetZ=0.1608m.
Wecan ndthattherearebigerrorsbetweencalcu-latedresultsandexperimentdatawhentheresultispre-dictedonlywithfewpoints.WecanknowmathematicsexpressionoftemperatureTintervalfromunascer-tainedmathematicsde nition.NowweconstructanunascertainedformtoexpressTusingunascertainedmathematicsde nition,whichis
T={[29.1200,31.5893],
x 29.12
F(x)}=[29.1200,31.5893],
2.4693FromtheEq.(1)and(3),wegetm {[a,b],F(x)}
x =[ma,mb],F
mm⊕{[a,b],F(x)}
={[a+m,b+m],F(x m)}
(9)
(7)
m>0(8)
WesubstituteEq.(7)intoEq.(6)anduseEqs.(8)and(9)tocalculate,then:
29.12
Z=1.6136738⊕[ 0.0465719×29.12, 0.0465719×31.5893],F2.4693
x 1.3561
=1.6136738⊕[ 1.3561, 1.4709],={[0.2575,0.1425], 8.7179x+2.2456}(10)
0.1147
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2278Z.Taoetal./NuclearEngineeringandDesign235(2005)2275–2280
Eq.(10)isanunascertainedmathematicsexpres-sionofZ.Wecanknowthemeaningisthe uctuationofZinintervalofT(29.1200–31.5893)anditsdis-tributionfunctionis 8.7179x+2.2456.So,wecancalculateitspossibilityinanyinterval.Forexample,whenZ=0.2575–0.2002,itspossibilityis50%,andwhenZ=0.2575–0.1425,itspossibilityis100%.
ItshouldbenoticethatTisinaninterval,i.e.Tisa uctuationvalue.SothismethodcouldbeusedtocalculateONBinarelatedparameterwitherror.Themethodcouldentirelyconsidertheerrorofcalculation.Thentheerrorcalculationoftraditionmethodbecomesunnecessary.Theexpressionmaycalculatetheresultsofeverypossibleconditionandtheirpossibilities.Sothemethodcanbemoreconsistentwithexperimentdata.
Usingthesamemethod,onedimensionunitaryunascertainedmathematicsmodelcouldalsobebuiltuponONBpositionwithheatpower,pressure,equa-tionquality,mass owrateandsoon.3.2.Multivariateunascertainedmathematicsmodel
AlotofphysicalandmathematicsequationonONBcanbemodeledthroughusingunascertainedmathe-maticsarithmetic.Thenameofmultivariateunascer-tainedmathematicsmodelcomesfromin uenceofconsideringmanyfactors(Lu,2002)onONBpoint.Theexperienceequation(Yangetal.,2001)issug-gestedonthermodynamicvapourqualityofonsetof
nucleateboilinginnaturalcirculationwithsubcooledboiling.TheequationwasselectedtoanalyzeONBpoint.Otherequation(Yuetal.,1986)couldbeana-lyzedsimilarly.
Theequationisfollowing:xONB
0.22045q
= 0.017053
Gifg 2.06994P.18160
×Pr6f
PIj
(11)
whereqisquantityofheat,kWm 2;Gthemass owrate,kgm 2s 1;ifgthevaporizationlatentheat,kJkg 1;PrrthePrandtlnumber;Pthesystempressure,MPaandPljisthecriticalpressure,MPa.
0.22045 q
AssumingX1=fg,X2=Pr6.18160, 2.06994P
X3=,theEq.(11)becomeIjxONB= 0.017053X1X2X3
(12)
Thecalculatedresultsindicatethattheerrorofexperimentaldataiswithin±20%andtheerrorofmeansquarerootis3.7779%usingaboveequations.Threegroupsofexperimentaldataandtheircalcula-tionresultsareshowninTables2and3usingcommonmathematicsmethod.
BasedontheTable3,weadoptunascertainednum-berX1={[0.1564,0.1731],F(x)}.Andaccordingtotherequestofunascertainedmathematics,weadoptits
Table2
ExperimentaldataGroup123
PressureP(MPa)16.07716.07716.077
Mass owrateG(kgm 2s 1)184.3877215.9336222.4308
Inletthermodynamicvapourquality(xin)eq 0.1612 0.1488 0.1505
Quantityofheatq(kWm 2)4.56187.48698.7250
Table3
ExperimentandcalculationresultGroup123
X10.15640.16840.1731
X2328.5836339.8797347.7288
X30.138650.138650.13865
xONB,exp 0.1503 0.1421 0.1441
xONB,cal 0.1215 0.1354 0.1423
Relativeerrorδ(%) 19.13 4.71 1.24
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Z.Taoetal./NuclearEngineeringandDesign235(2005)2275–22802279
distributionfunction:
0,x∈( ∞,0.1564)
x 0.1564
F(x)=,x∈[0.1564,0.1731]
0.0167 1,x∈(0.1731,+∞)
(13)
Twokindsofvariablesareselectedtoexplainour
questiononaboveparameters.Ofcourse,allkindsofparameterscanbeuseddirectlytosolvequestionandtheyhaveclearphysicalmeaning.ButitcanbringalotofhardandcomplicatedcalculativeworkabouttheirdistributingfunctionF(x)atmeantime.
Similarly,weadoptunascertainednumberX2={[328.5836,347.7288],G(x)}.Andaccordingtotherequestofunascertainedmathematics,weadoptitsdistributionfunction:
0,x∈( ∞,328.5836)
x 328.5836
G(x)=,x∈[328.5836,347.7288]
19.1452 1,x∈(347.7288,+∞)
(14)X3=0.13865isadoptedasconstantnumber.AccordingtotheEq.(3),wecangetX1 X2={[0.1564,0.1731]
×[328.5836,347.7288],Z(x)}={[51.3905,60.1919],Z(x)}
(15)
4.Conclusion
(1)Unascertainedmathematicsmodelexpressescer-tainresultwithaseriesofintervalnumberform.The uctuatingvaluewiththedistributionfunctionF(x)isthefeatureofunascertainedmathematicsmodelandcanexpress uctuatingexperimentaldata.Thecalculatedresultsshowithavehighextentcontainmentforexperimentaldata.Infact,the uctuationofvaluecanre ectthechangeoftherealconditionexactly.Therefore,realstatuscanbeactuallydescribedthroughusingthismethod.ForcalculationofONBpoint,thedescriptionofunascertainedmathematicsmodelismoreprecisethancommonmathematicsmodelduetothe uc-tuationofparametersvalueofnaturalcirculation.
0, 3.1277xlnx 15.4491x+160.733,
Z(x)=0.17712596x 9.36527,
3.1277xlnx+15.9454x 187.2614, 1,UsingEqs.(12),(8)and(9),wecanget
x∈( ∞,51.39)x∈(51.39,54.3848)x∈(54.3848,56.8778)x∈(56.8778,60.192)x∈(60.192,+∞)
(16)
xONB= 0.017053X1X2X3={ 0.0023644 [51.3905,60.1919],Zm(x)}={[ 0.1215, 0.1423],Zm(x)}
(17)
0,x∈( ∞,51.39) x∈(51.39,54.3848) 1322.8303xlnx 6534.0467x+160.733,
x∈(54.3848,56.8778)Zm(x)=74.9136x 9.36527,
1322.8303xlnx+6743.920x 187.2614,x∈(56.8778,60.192) 1,x∈(60.192,+∞)Accordingtothede nitionofunascertainedmath-ematics,thevariablerangeofthermodynamicvapour
qualityofONBcanbeeasilyunderstoodwhenthreegroupsofconditionsareadopted.
(18)
Infact,ifparametersareexpressedthroughusingunascertainednumber,thecalculatedresultsare tforrealinstancethroughthearithmetic.Theexperimental uctuatingvaluecanbepredicted
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2280Z.Taoetal./NuclearEngineeringandDesign235(2005)2275–2280
withunascertainedmathematicsmodelsothattheef ciencyandprecisionofexperimentcanbeimproved,andtheresultsmaybemorecredible.(2)Theexpressionofintervalnumbermakeuspredict
ONBpointonrealrunningconditionintimesothatcountermeasurescanbetakenforsomedangerassoonaspossible.
(3)Thecertainanduncertainvaluemaybeusedin
differentcondition.ThecomplexproblemofONBpointcanbesolvedmoreeffectivelyiftworesultvaluescanbeusedincommonandrenewedeachother.
(4)Unascertainedmathematicsisanewmathematics
toolanditwillbegraduallyperfect.Itwillbemoreconvenientandavailablethatunascertainednumberswithmoreknowninformationareusedinengineeringresearch.
Acknowledgement
ThisresearchwassupportedbyChinesePostdoc-toralScienceFoundation(2003034126).
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