换热器设计外文翻译原稿(8)

234J.Guo,M.Xu/AppliedThermalEngineering36(2012)227e235

Table5

TheParetofrontobtainedbymulti-objectiveoptimizationdesignwith xedheatload.

do(m)

Multi-objective

0.0220.0220.0220.0220.0220.022

n283283283283283283

Bs1.001.001.001.000.950.91

q(rad)

2.3622.3492.3202.2992.2952.294

Tc,o(K)69.1469.2669.5369.7169.8670.00

Ko(W/m2K)1260.51263.11268.61272.51276.61280.2

C*0.4230.4220.4200.4190.4180.417

W(W)260.2260.2260.2260.3265.0270.2

0.6960.6970.7000.7030.7040.706

G*DT0.5050.5040.5030.5020.5010.500

G*DP1.581.581.581.581.611.64

ÂÂÂÂÂÂ1010À410À410À410À410À4

G*0.50520.50450.50290.50190.50100.5002

*Fig.10.TheParetofrontforheatexchangerwith xedheattransferarea:(a)G*DTversusGDP;(b)thepumpingpowerversustheexchangereffectiveness.

solutionsareavailableforthemulti-objectiveoptimization

approach,therefore,itprovidesmorealternativesforheatexchangerdesignthanthesingle-objectiveoptimizationapproach.4.Concludingremarks

Accordingtotheentransydissipationtheory,theentransydissipationcanbeusedtodescribetheirreversibilitiesinducedbyheatconductionand uidfriction,whilesuchirreversibilitiesarethemainfactorstodeterioratetheperformanceofheatexchanger.Therefore,inthepresentwork,basedontheentransydissipationtheoryandgeneticalgorithm,twooptimizationapproachesforheatexchangerdesignareproposed.Firstly,asingle-objectiveoptimizationapproachisformulated,wherethetotalentransydissipationnumberistakenastheobjectivefunction.Whentheheatloadis xed,thesingle-objectiveoptimizationdesigncansigni cantlyimprovetheperformanceofheatexchanger.However,forthe xedheattransferareacase,theimprovementofexchangereffectivenessthroughtheoptimizationprocessisattheexpenseoftheincreaseofthepumpingpower.Inordertoaddressthisproblem,themulti-objectiveoptimizationdesignofheatexchangerisestablished,wheretheentransydissipationnumbersrelatedtoheatconductionand uidfriction,respectively,aretakenastwoseparateobjectives.Incomparisonwiththesingle-objectiveoptimizationapproach,themulti-objectiveoptimiza-tiondesignofheatexchangercanachievethesameexchangereffectivenesswithlessconsumptionofpumpingpower.Further-more,themulti-objectiveoptimizationleadstothenon-uniqueoptimalsolutionswhichprovidemore exibilityfortheheatexchangerdesign.Acknowledgements

TheSupportofourresearchprogrambyNationalBasicResearchProgramofChina(ProjectNo.2007CB206900)isgreatlyappreciated.

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