2023年全國碩士研究生考試考研英語一試題真題（含答案詳解+作文范文）_第1頁
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1、DevelopmentApplicationofProcessModelingTechnologyf2050HotStripRollingMillatBaosteelLiuZhengdong1TangGuangbo1ChengJiefeng1GanYong1WangWei2ZhangPijun2(1.ISMCentralIronSteelResearchInstituteBeijingChina1000812.TechnicalCent

2、erBaoshanIronSteelGroupCpationShanghaiChina201900)Abstract:Anintegratedprocessmodelingsystemhadbeenbuiltinwhichthermalmechanicalmetallurgicalprocessesduringhotstriprollingwerenumericallycoupledtogether.Thestructureofthep

3、rocessmodelswasbrieflyintroducedinthispaper.Thedevelopedprocessmodelscanbeusedtosimulatethethermalmechanicalmetallurgicalprocessesevolutionsofthewholehotrollingprocessfromreheatingfurnacetocoolingaftercoilingtopredictthe

4、mechanicalpropertiesofthefinalproductofthe2050hotstriprollingmillatBaoSteel.Thesystemwasverifiedoptimizedagainstmethan1000industrialcoilsofabout10steelgradesrunsonlinesuccessfully.Thedifferencebetweenpredictedmeasuredtem

5、peraturestrengthis20℃(online)21MPa(offline)respectively.Keywds:hotstriprollingprocessmodelingmicrostructureevolutiononlineapplicationIntroductionTheprocessmodelingtechnologyfsimulatingmicrostructureevolutionspredictingme

6、chanicalpropertiesoffinalproductsfhotstriprollinghasbeenwidelystudiedsince1970shasbeensuggestedasausefulapplicabletechnologyinmodernsteelproduction[1].Itemployedknowledgeoverseveralfieldssuchasheattransferplasticmechanic

7、sphysicalmetallurgymathematicalmodelingcomputerapplicationautomationtechnologyetc.ItisreptedthatseveralhotrollingprocessmodelingsystemseitherofflinesystemsonlinesystemshadbeenappliedinsomehotstriprollingmillsinNthAmerica

8、Europe[23].ResearchesapplicationsofsuchintegratedpredictionsystemarecommencedalittlelaterinChinathaninthosedevelopedcountries.HoweverunderthesponssoftheNationalScienceFoundationofChina(NSFC)researchgroupsfromCentralIronS

9、teelResearchInstitute(CISRI)NtheastUniversity(NEU)BaoshanIronSteelGroupCpation(Baosteel)havecollabativelydevelopedanintegratedprocessmodelingsystemnamedQHSMafterseveralyearsofhardwk.Currentlyacceptablepredictionaccuracyo

10、fQHSMhaveachievedafterlongperiodofflinetrainingmodificationofthesystemusingindustrialdata.Thepredictedstrengthvaluesofabout10steelgradesagreewellwiththemeasuredvalues.FurthermeonlineapplicationhasalsobeenimplementedatBao

11、steel2050hotstriprollinglinesuccessfullytheresultsalsoshowedthatboththepredictedtemperaturerollingloadvalueshavegoodagreementswiththeirmeasuredvalues.tabledowncoilersfstripcoolingcoilingrespectively.Theflowofcalculationo

12、fQHSMconfmstothehotmetalflowasshowninFigure2.Whenthoseinputdatasuchassteelgradeschemicalcompositionsdimensionsofslabstripgaugemillconfigurationreheatingrollingcoolingconditionsetc.aregivenQHSMcanstartitscalculationcalcul

13、ateallevolutionprocessesonebyonetillthefinalmechanicalpropertiesarepredictedout.TherearelotsofresultsinQHSM’soutputlistsamongwhichthemostimptantusefulonesinclude:mechanicalpropertiestemperaturedistributionchangesrollingl

14、oadsthosequantitivedeionsofallkindofmicrostructureevolutions.InputDataSteelgradeconditionofreheatingrollingcoolingslabsizefinalsizemillconfigurationsetc.?Slabtemperature?Austenitegrainsize?Temperatureofrolledmaterials?Ro

15、llingloadsstrainstrainrateetc?Austenitegrainsize?Temperatureofstrip?Phasetransfmation?Precipitation?MechanicalpropertiesReheatFurnaceRougherRunoutTableDownCoilerFinisherFigure2SchematicillustrationofQHSMthelayoutof2050mi

16、ll2.DevelopmentofQHSMatBaosteel2050hotstriprollingmillBecauseofthethickerslabverticalstsinroughrollingareaatBaosteel2050millboththeheattransferalongslabwidthdirectionthewidthreductioninverticalrollingstswouldbetternotbei

17、gned.Thusthe2dimensionalthermalmechanicalmodelsaredeveloped.Fthethermalmodelthedeterminationofheattransfercoefficientsunderdifferentboundaryconditionsisonethemostimptantissues.Severalempiricalequationsofheattransfercoeff

18、icientsusedfallkindsofheattransferconditionsduringhotstripproductionareemployedareoptimizedbytuningparametersthroughapplyingthesemodelstocalculatemethanthousindustrialcases.Similarlysomemetallurgicalbasedempiricalmicrost

19、ructureevolutionmodelsfsimulatingallkindsofmetallurgicalprocessesduringhotstriprollingsuchasgraingrowthdynamicmetadynamicstaticausteniterecrystallizationgrainsizeaftergrainrefinementphasetransfmationprecipitationetc.area

20、doptedoptimizedintheintegratedmodelingsystemaswell.Toachievehighaccuraciesinpredicatingthemechanicalpropertiesofthefinalproductsartificialneuralwksdatabasetechnologiesareadoptedwhichcanautomaticallyoptimizethemicrostruct

21、urepropertiesmodelsthroughcasestudiesaftercalculationhundredsofcoils.TherefeQHSMfeaturesthecapacitiesofaccuracyflexibilityhighcalculationspeed.Asseveralpapersaboutthedevelopedmodelingsystemhavebeenpublishedbytheauthsprev

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