Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1426
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dc.contributor.authorTümer, Abdullah Erdal-
dc.contributor.authorEdebali, Serpil-
dc.date.accessioned2021-12-13T10:41:21Z-
dc.date.available2021-12-13T10:41:21Z-
dc.date.issued2018-
dc.identifier.isbn978-1-5386-6974-7-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1426-
dc.description14th Symposium on Neural Networks and Applications (NEUREL) -- NOV 20-21, 2018 -- Belgrade, SERBIAen_US
dc.description.abstractIn this study, multiple-linear regression (MLR) model was used to predict the efficiency of two commercial resins, Amberjet 1200H and Diaion CR11, used for the removal of Cr (III) from aqueous solutions. The effects of descriptors used in the experiments (pH, amount of resin, temperature, contact time and concentration) on the removal were investigated with 36 different laboratory studies. The removal efficiency was calculated. Two regression models were developed with MLR analysis which is used to describe the effects of experiment parameters. The performances of both models developed to determine the removal efficiency of these sorption systems were found satisfactory. Statistical results indicated that Amberjet 1200H was more effective than Diaion CR11 for the removal of Cr(III).en_US
dc.description.sponsorshipIEEE, IEEE Serbia & Montenegro S&M SP CAS Joint Chapter, IEEE S&M Sect, Univ Belgrade, Innovat Ctr, Univ Belgrade, Sch Elect Engn, Telecommunicat Socen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 14TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMlr Methoden_US
dc.subjectModelingen_US
dc.subjectOptimizationen_US
dc.subjectRemoval Efficiencyen_US
dc.subjectSorptionen_US
dc.subjectIon-Exchange-Resinsen_US
dc.subjectAdsorptionen_US
dc.subjectRemovalen_US
dc.subjectCr(Iii)en_US
dc.subjectWateren_US
dc.subjectCoefficientsen_US
dc.subjectPredictionen_US
dc.subjectMlren_US
dc.titleModeling and Optimization of Hexavalent Chromium Sorption onto Amberjet 1200H by Using Multiple-Linear Regressionen_US
dc.typeConference Objecten_US
dc.identifier.scopus2-s2.0-85060916296en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Kimya Mühendisliği Bölümüen_US
dc.authorwosidEdebali, Serpil/AAP-8547-2020-
dc.authorwosidEdebali, Serpil/AAP-8712-2020-
dc.identifier.wosWOS:000457745100012en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextembargo_20300101-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.01. Department of Chemical Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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