Neural Model for the Leaching of Celestite in Sodium Carbonate Solution

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dc.contributor.authorBingöl, Deniz
dc.contributor.authorAydoğan, Salih
dc.contributor.authorGültekin, S. Sinan
dc.date.accessioned2020-03-26T18:04:43Z
dc.date.available2020-03-26T18:04:43Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractA neural model for computing the conversion kinetics of SrSO(4) to SrCO(3) was investigated in sodium carbonate solution, based on the multilayered perceptrons was presented. For this purpose the artificial neural network (ANN) method was used. The effects of stirring speed, temperature, mole ratio Na(2)CO(3):SrSO(4) and particle size of the celestite on leaching kinetics were studied. The surface transformation of celestite to strontium carbonate in aqueous carbonate solutions was also supported by FT-IR spectroscopy. The conversion rate of celestite increases systematically with increasing temperature (up to 70 degrees C). Furthermore, the feasibility of replacing the SO(4)(2-) ions with CO(3)(2-) ions in the structure of the leached solid was also investigated by FT-IR. FT-IR results showed that the replacement of SO(4)(2-) ions in celestite by CO(3)(2-) ions in leaching conditions was nearly completed at 60 degrees C with a mole ratio Na(2)CO(3):SrSO(4) = 4:1, solid to liquid =5:500, -212+106 mu m particle size, and 400 rpm stirring rate for an interval of 240 min. The first (up to 90 min) conversion result obtained was trained with an extended delta-bar-delta algorithm (EDBD), which is in the multilayered perceptions and is a neural model structure. Results of other conversion times (90-240 min) results were predicted. Results predicted by the neural model were in very good agreement with the experimental results.en_US
dc.identifier.citationBingöl, D., Aydoğan, S., Gültekin, S. S., (2010). Neural Model for the Leaching of Celestite in Sodium Carbonate Solution. Chemical Engineering Journal, 165(2), 617-624. DOI: 10.1016/j.cej.2010.10.007
dc.identifier.doi10.1016/j.cej.2010.10.007en_US
dc.identifier.endpage624en_US
dc.identifier.issn1385-8947en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage617en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.cej.2010.10.007
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25099
dc.identifier.volume165en_US
dc.identifier.wosWOS:000285369600029en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAydoğan, Salih
dc.institutionauthorGültekin, S. Sinan
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE SAen_US
dc.relation.ispartofChemical Engineering Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectCelestiteen_US
dc.subjectStrontium Carbonateen_US
dc.subjectArtificial Neural Network (ANN)en_US
dc.subjectExtended Delta-Bar-Delta (EDBD)en_US
dc.titleNeural Model for the Leaching of Celestite in Sodium Carbonate Solutionen_US
dc.typeArticleen_US

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