Publication:
Modelling of Lead Adsorption from Industrial Sludge Leachate on Red Mud by Using RSM and ANN

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dc.authorscopusid35726694300
dc.authorscopusid22953804000
dc.authorscopusid12144397300
dc.authorscopusid6507093902
dc.contributor.authorGeyikçi, F.
dc.contributor.authorKilic, E.
dc.contributor.authorÇoruh, S.
dc.contributor.authorElevli, S.
dc.date.accessioned2020-06-21T14:28:04Z
dc.date.available2020-06-21T14:28:04Z
dc.date.issued2012
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Geyikçi] Feza, Department of Chemical Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kilic] Erdal, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Çoruh] Semra, Environmental Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Elevli] Sermin, Department of Industrial Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractIn this study, response surface methodology (RSM) and artificial neural network (ANN) were employed to develop prediction models for lead removal from industrial sludge leachate using red mud. The leaching characteristics of industrial sludge were observed by Toxicity Characteristics Leaching Procedure (TCLP). Dosage, time and pH were considered as independent experimental factors. Box-Behnken design (BBD) was chosen for the response surface design setup and was also used as Neural Network Training Set for comparison purposes. To evaluate the accuracy of results, several experiments were then conducted. The results of ANN were found to be more reliable than RSM since better statistical parameters were obtained. © 2011 Elsevier B.V.en_US
dc.identifier.doi10.1016/j.cej.2011.12.019
dc.identifier.endpage59en_US
dc.identifier.issn1385-8947
dc.identifier.scopus2-s2.0-84856514356
dc.identifier.scopusqualityQ1
dc.identifier.startpage53en_US
dc.identifier.urihttps://doi.org/10.1016/j.cej.2011.12.019
dc.identifier.volume183en_US
dc.identifier.wosWOS:000301274100008
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherElsevier Science SAen_US
dc.relation.ispartofChemical Engineering Journalen_US
dc.relation.journalChemical Engineering Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectBox-Behnken Designen_US
dc.subjectLeaden_US
dc.subjectRed Muden_US
dc.titleModelling of Lead Adsorption from Industrial Sludge Leachate on Red Mud by Using RSM and ANNen_US
dc.typeArticleen_US
dspace.entity.typePublication

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