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https://hdl.handle.net/20.500.13091/1426
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tümer, Abdullah Erdal | - |
dc.contributor.author | Edebali, Serpil | - |
dc.date.accessioned | 2021-12-13T10:41:21Z | - |
dc.date.available | 2021-12-13T10:41:21Z | - |
dc.date.issued | 2018 | - |
dc.identifier.isbn | 978-1-5386-6974-7 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1426 | - |
dc.description | 14th Symposium on Neural Networks and Applications (NEUREL) -- NOV 20-21, 2018 -- Belgrade, SERBIA | en_US |
dc.description.abstract | In 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.sponsorship | IEEE, IEEE Serbia & Montenegro S&M SP CAS Joint Chapter, IEEE S&M Sect, Univ Belgrade, Innovat Ctr, Univ Belgrade, Sch Elect Engn, Telecommunicat Soc | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2018 14TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Mlr Method | en_US |
dc.subject | Modeling | en_US |
dc.subject | Optimization | en_US |
dc.subject | Removal Efficiency | en_US |
dc.subject | Sorption | en_US |
dc.subject | Ion-Exchange-Resins | en_US |
dc.subject | Adsorption | en_US |
dc.subject | Removal | en_US |
dc.subject | Cr(Iii) | en_US |
dc.subject | Water | en_US |
dc.subject | Coefficients | en_US |
dc.subject | Prediction | en_US |
dc.subject | Mlr | en_US |
dc.title | Modeling and Optimization of Hexavalent Chromium Sorption onto Amberjet 1200H by Using Multiple-Linear Regression | en_US |
dc.type | Conference Object | en_US |
dc.identifier.scopus | 2-s2.0-85060916296 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Kimya Mühendisliği Bölümü | en_US |
dc.authorwosid | Edebali, Serpil/AAP-8547-2020 | - |
dc.authorwosid | Edebali, Serpil/AAP-8712-2020 | - |
dc.identifier.wos | WOS:000457745100012 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Conference Object | - |
item.grantfulltext | embargo_20300101 | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.01. 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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Modeling_and_Optimization_of_Hexavalent_Chromium_Sorption_onto_Amberjet_1200H_by_Using_Multiple-Linear_Regression.pdf Until 2030-01-01 | 401 kB | Adobe PDF | View/Open Request a copy |
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