Modeling of Swelling Behaviors of Acrylamide-Based Polymeric Hydrogels by Intelligent System

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dc.authoridKünkül, Asım/0000-0002-6080-2588
dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authoridBoztepe, Cihangir/0000-0001-5019-2010
dc.authorwosidKünkül, Asım/ABG-8608-2020
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.authorwosidBoztepe, Cihangir/H-5877-2018
dc.contributor.authorBoztepe, Cihangir
dc.contributor.authorSolener, Musa
dc.contributor.authorYuceer, Mehmet
dc.contributor.authorKunkul, Asim
dc.contributor.authorKabasakal, Osman S.
dc.date.accessioned2024-08-04T20:40:17Z
dc.date.available2024-08-04T20:40:17Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description.abstractHydrogels based on acrylamide (AAm) were synthesized by free radical polymerization in an aqueous solution using N, N'-methylenebisacrylamide (MBAAm) as crosslinker. To obtain anionic hydrogels, 2-acrylamido-2-methylpropanesulfonic acid sodium salt (AMPS) and acrylic acid (AAc) were used as comonomers. The swelling behaviors of all hydrogel systems were modeled using an artificial neural network (ANN) and compared with a multivariable least squares regression (MLSR) model and phenomenal model. The predictions from the ANN model, which associated input parameters, including the amounts of crosslinker (MBA) and comonomer, and swelling values with time, produce results that show excellent correlation with experimental data. The parameters of swelling kinetics and water diffusion mechanisms of the hydrogels were calculated using the obtained experimental data. Model analysis indicated that the ANN models could accurately describe complex swelling behaviors of highly swellable hydrogels.en_US
dc.identifier.doi10.1080/01932691.2014.996892
dc.identifier.endpage1656en_US
dc.identifier.issn0193-2691
dc.identifier.issn1532-2351
dc.identifier.issue11en_US
dc.identifier.scopus2-s2.0-84931083814en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1647en_US
dc.identifier.urihttps://doi.org/10.1080/01932691.2014.996892
dc.identifier.urihttps://hdl.handle.net/11616/96821
dc.identifier.volume36en_US
dc.identifier.wosWOS:000356396200015en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofJournal of Dispersion Science and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANNen_US
dc.subjecthydrogelen_US
dc.subjectMLSRen_US
dc.subjectmodelingen_US
dc.subjectswelling behavioren_US
dc.titleModeling of Swelling Behaviors of Acrylamide-Based Polymeric Hydrogels by Intelligent Systemen_US
dc.typeArticleen_US

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