简介：Basedonthecharacteristicsofpicklingwastewaterinthecold-rollingproductionofstainlesssteel,anewprocessingroute,featuringsourcesludgereduction,wastewatertwo-stagetreatment,heavymetal-containedsludgeandcalciumsaltsludgeseparatingrecovery,wasproposed.Asshownbytheresearchresults,afterthetwo-stageprocesstreatment,theeffluentwatercansteadilyreachtheemissionstandards,thesludgeyieldcanbedecreasedbymorethan8%;withintheheavymetal-containedsludge,therecoveryratesofFe,CrandNicaneitherreachorsurpass95%,andthetotalcontentofFandScandroptoaround3%.Therefore,thesludgeinthefrontpartcanbeusedasferricdust.Inthecalciumsaltsludge,therecoveryrateofFcaneitherreachorsurpass85%,andthetotalcontentsofFe,CrandNicanfallbelow0.5%.Sothesludgeintherearpartcanbeusedasfluorgypsumorfluorite.Meanwhile,theresultsoftheanalysisonheavymetalsleachingtoxicityandmorphologicdistributionindicatethatthetwokindsofsectionalizedsludgearenotclassifiedashazardouswastes,whichhaveastablebehaviorandbetterutilizationvaluescomparedwiththeformermixed-sludge.

简介：Artificialintelligencetechniqueshavebeenusedtopredictbasicoxygenfurnace(BOF)end-points.However,themainchallengeistoeffectivelyreducetheinputnodesastoomanyinputnodesinneuralnetworkincreasecomplexity,decreaseaccuracyandslowdownthetrainingspeedofthenetwork.Simplypicking-upvariablesasinputusuallyinfluencevalidityofmodel.Itisquitenecessarytodevelopaneffectivemethodtoreducethenumberofinputnodeswherebytosimplifythenetworkandimprovemodelperformance.Inthisstudy,avariable-filtratingtechniquecombiningbothmetallurgicalmechanismmodelandpartialleast-squares(PLS)regressionmethodhasbeenproposedbytakingtheadvantagesofbothofthem,i.e.qualitiveandquantativerelationshipsbetweenvariablesrespectively.Accordingly,afuzzy-reasoningneuralnetwork(FNN)predictionmodelforbasicoxygenfurnace(BOF)end-pointcarboncontentbasedonthistechniquehasbeendeveloped.Thepredictionresultsshowedthatthismodelcaneffectivelyimprovethehitrateofend-pointcarboncontentandincreasenetworktrainingspeed.Thesuccessfulhitrateofthemodelcanreachupto94.12%withabout0.02%errorrange.

简介：Themicrostructuresandprecipitatesinbasemetalsandheataffectedzones(HAZs)oftwoZr-Bmicroalloyedsteelswerecharacterizedbymeansofopticalmicroscopy(OM),transmissionelectronmicroscopy(TEM)andenergydispersivespectrum(EDS).Ithasbeenfoundthatprecipitatesoftensofnanometersinsizearepresentinthebasemetalsofbothsteels.Theaverageparticlesize,however,intheZr-BsteelwithTiislargerthanthatinthesteelwithoutTi.Afterthermalsimulations,inbothcases,theMnSsulfidescannucleateoncubic(Nb,Ti)(C,N)carbonitridesandnearlysphericalZr-bearingcompounds.TheprecipitatesintheHAZsofbothsteelsarecoarserthanthoseinthebasemetals,intherangesof150-200nmand50-100nmforTiaddedandTi-freesteels,respectively.

简介：Thecompositionandproductiontechnologyofthetypeofhot-rolledsteelplateusedintwo-sidedenamelingwerebrieflydescribed.Themicrostructureandmechanicalpropertiesbeforeandafterenamelingwerecontrastivelyinvestigated,andtheprecipitatesinthesampleswereanalyzedusingtransmissionelectronmicroscopeandenergydispersivespectrometer.Theresultsshowtheferritegrainsizeofthesteelplateafterhigh-temperatureenamelfiringtobefine,withalargenumberofTiCandTi4C2S2precipitatesdispersedthroughouttheferritematrix.Aftertworoundsofenamelfiringatatemperaturerangeof800-890℃,itsyieldstrengthcanstillreach342MPa.Theresultsofahydrogenpermeationtestshowthatthehydrogenstoragepropertiesofthesteelplatearemuchbetterthanthoseofordinarystructuralcarbonsteel.Abetterbubblestructureintheenamellayercanbeobtainedbythissteelplate,withnofish-scaledefectsontheenameledsteel-platesurface.