燒結(jié)混合料制粒效果預(yù)測模型研究.pdf

1、重慶大學(xué)碩士學(xué)位論文燒結(jié)混合料制粒效果預(yù)測模型研究姓名：周傳強申請學(xué)位級別：碩士專業(yè)：冶金工程指導(dǎo)教師：白晨光20091130ABSTRACTThedemalldforrawmaterials，especiallyironoreresourcesiIlironarldsteelenterprisescontinuestogrow，、vithtllecontinuouSdevelopmentofironaIldsteelindu鼬呵Now

2、thegta：tusquoofdomesticrawmaterialsform句ori鑼ironandsteele嫩erpfisesisthatironoresareva矗ous，thequ釀i夠isgreatdif&rencehordertoeXp鋤dmeusemgeofironore，謝macorrespondingincreaseintlleutilizationofleanore，blast脅acecllargeisstillt

3、elyonproductionofsintering@鋤llatingprocessaSapresinteringprocess，sinterfeed鏟aImlationefjEbctdetemlinestlleleVelofpe肌eabili饑aIldthuSa臟ctsthee幣ciencyofsintering，sinterm協(xié)eralq砌毋greatlynerefore，theestablis_hmemofasimeredmixt

4、ure伊鋤u1撕onresultsforecastingmodeI，andfImdiIlgnleoptimalwatercontent，t0guidethe伊秈lationperfIomaIlceandw鋤琵operations，toirIlprovethesimeringefrectsareVe叫婦portantsi嘶ficaJlce111istopicprovidedtheg刪nlllationpropertiesbystlldyi

5、ngttlc掣aIlulationmecllaIlism鋤ldwaterabsorbentprocess，WmchmajlllyiIlcludingmateriaJs，pa而clesizcdistributioIl，chemicalcompositionandmoisturecapaci夠觚dotherf如tors；iIlmes切bleo嗍tingconditions，establishedadatadrivenneuraJne鉚ork

6、predictionmodelstIⅡDu西留allula士iIlgtheexperiInentaldataTobuildtheforecastingmodels，uSiI培alliddenlayer謝t11thJeelayersBPneuraln印№rk，p觚lIIleterssuch硒actiVatlon鼬lction，trainjng脅ctionalld能quencyofne咖rkgotoptimizedselectionPred

7、ictionmodelpredictedresultsshowtllatintllea110wableen0rrallgellitratecaIlreach875％Forthe咖dyofoptiIllalmoisn鵬ofdifferentrniXn鵬，theconceptofmoi咖recapaci西issuggested1飛edefinitionmeasur鋤∞ntmemodsandme聊nngdeVlcesarealsosugges

8、tedTheparticlemo印hology，porosi夠，specificsurface鋤eaandotherfactorsofMuhi盯ainsizemixt山℃aredi所cultt0accuratelymeasure鋤dquallti母Themoisturec即aCi鑼isagoodmixindexoft：hesef如tors11_lrou曲thesnJdyofdynaIIlicprocessofwaterabsorptio

9、nofironore，meprocessofwaterabsorptionofironoreisiIlfIJllconlpliancewim1ager黟eIIarateequation鋤dits嘶VationMoistu】舊c印aucit)rofironoreisthephysicalpropeIItiesofmematerialitsel￡onbeh2Llfoftllecapac時ofmat葫alt0acceDtwaternlesui

10、切【blewatercontentpredictionmodelisestablishedbasedondifferentwater伊anulationexperimentsandtllepredictedresultsaregoodThemodelcaIlbeusedt0guidetllewateraddingoperation、ⅣitllthemallllalexperienceKeywords：sintermixtl鵬，g捌“at