Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/1067
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dc.contributor.authorPetrović, Srdjanen
dc.contributor.authorRožić, Ljiljanaen
dc.contributor.authorJović, Vesnaen
dc.contributor.authorStojadinović, Stevanen
dc.contributor.authorGrbić, Boškoen
dc.contributor.authorRadić, Nenaden
dc.contributor.authorLamovec, Jelenaen
dc.contributor.authorVasilić, Rastkoen
dc.date.accessioned2022-07-12T18:11:59Z-
dc.date.available2022-07-12T18:11:59Z-
dc.date.issued2018-09-01en
dc.identifier.issn0921-8831en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/1067-
dc.description.abstractNanocrystalline TiO2-CeO2 powders were synthesized from their TiO2 and CeO2 oxides using mechanical ball milling process. The response surface method is applied to identify optimal parameters for the synthesis of TiO2-CeO2 photocatalyst. Analysis of variance and main effect plot are used to determine the significant parameters and set the optimal level for each parameter. Regression analysis showed good agreement of experimental data with the second-order polynomial model with a coefficients of determination: R2 = 0.991, R2Adj. = 0.940 and R2Pred. = 0.983. Under optimal experimental conditions of TiO2:CeO2 weight percentage ratio 71:29, milling speed 200 rpm, and milling time 115 min the highest photodegradation efficiency was achieved. On the basis of the above statistical analysis, it was found that the band gap energy of TiO2-CeO2 nanoparticles decreases with the increase of the milling speed and milling time with constant TiO2:CeO2 weight percentage ratio. Obtained results suggest that mechanical ball milling process is a rapid, efficient and low energy consumption method to synthesize TiO2-CeO2 photocatalyst.en
dc.relation.ispartofAdvanced Powder Technologyen
dc.subjectPhotocatalytic degradationen
dc.subjectPlanetary ball millingen
dc.subjectResponse surface methodologyen
dc.subjectTiO -CeO nanopowder 2 2en
dc.titleOptimization of a nanoparticle ball milling process parameters using the response surface methoden
dc.typeArticleen
dc.identifier.doi10.1016/j.apt.2018.05.021en
dc.identifier.scopus2-s2.0-85047783874en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85047783874en
dc.relation.issue9en
dc.relation.volume29en
dc.relation.firstpage2129en
dc.relation.lastpage2139en
item.openairetypeArticle-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
crisitem.author.orcid0000-0002-6589-6296-
crisitem.author.orcid0000-0003-2476-7516-
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