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锌液净化砷盐除钴过程钴离子浓度预测模型研究与实现.docx

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锌液净化砷盐除钴过程钴离子浓度预测模型研究与实现 Title:StudyandImplementationofaCobaltIonConcentrationPredictionModelinthePurificationofArsenic-SaltZincSolution Abstract: Intheprocessofpurifyingarsenic-saltzincsolution,theremovalofcobaltionsplaysacrucialrole.Therefore,thisstudyaimedtodevelopandimplementacobaltionconcentrationpredictionmodelfortheefficientpurificationofarsenic-saltzincsolutions.Themodelisbasedonmathematicalandstatisticalanalysis,usingvariousfactorsinfluencingcobaltionconcentrationasinputvariables.Thispaperdiscussestheresearcheffortsundertakentodevelopandimplementthismodel. 1.Introduction: Inthehydrometallurgicalprocessofpurifyingarsenic-saltzincsolution,cobaltionsposeasignificantchallengeduetotheirdetrimentaleffectonproductquality.Thepresenceofcobalthinderstheefficientpurificationofthesolution,leadingtolowerzincrecoveryratesandincreasedarseniccontamination.Developingapredictivemodelforcobaltionconcentrationcanaidindesigningeffectivepurificationprocessesandoptimizingtheoverallefficiency. 2.LiteratureReview: Previousresearchonthepurificationofarsenic-saltzincsolutionshasfocusedonvariousaspects,includingthemechanismofcobaltionremoval,processoptimization,andtheuseofdifferentpurificationtechniques.However,thereislimitedliteratureavailableregardingthedevelopmentofpredictivemodelsforcobaltionconcentration. 3.ResearchMethodology: Theresearchmethodologyinvolvedcollectingdatafromexperimentaltestsconductedonpurifiedarsenic-saltzincsolutions.Thedataincludedcobaltionconcentrations,alongwithvariousinputfactorssuchassolutiontemperature,pH,flowrate,andconcentrationofarsenic.Statisticalanalysistechniques,suchasmultipleregressionanalysisandartificialneuralnetworks,wereutilizedtoestablishtherelationshipbetweentheinputfactorsandcobaltionconcentration. 4.ModelDevelopment: Basedontheanalysisofcollecteddata,acobaltionconcentrationpredictionmodelwasdeveloped.Themodelincorporatedtheidentifiedrelationshipbetweeninputfactorsandcobaltionconcentration,allowingforthepredictionofcobaltionlevelsinthesolut