Application of a neural network for estimating the crack formation and propagation in sol-gel CeO2 coatings during processing at temperature

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dc.contributor.authorSavran A.
dc.contributor.authorAlci M.
dc.contributor.authorYildirim S.
dc.contributor.authorYig^it R.
dc.contributor.authorC¸elik E.
dc.date.accessioned2019-10-26T21:31:22Z
dc.date.available2019-10-26T21:31:22Z
dc.date.issued2014
dc.departmentEge Üniversitesien_US
dc.description.abstractIn this study the application of a neural network to estimate the crack propagation and crack size in CeO2 coatings on a Ni substrate during processing at temperature was evaluated as a function of the Ce content in solutions with increasing processing temperatures from 24 oC and 700 oC. In this respect, CeO2 coatings were prepared on Ni tapes from solutions derived from Ce-based precursors using a sol-gel method for YBCO-coated conductors. The crack size of the coating was determined using an in-situ Hot-Stage ESEM depending on the temperature at a certain time in vacuum conditions. It was determined that the crack size of the coating increased with the increasing processing temperature. Measuring the crack sizes of the coatings using Hot-Stage ESEM is an expensive and time-consuming process. In order to eliminate these kinds of problems a neural-network approach was used to estimate the crack sizes of the coatings at different temperatures. The neural network was constructed directly from the experimental results. It was concluded that the estimation of the crack propagation of CeO2 coatings on a Ni tape substrate are reasonable for the processing temperatures.en_US
dc.identifier.endpage457en_US
dc.identifier.issn1580-2949
dc.identifier.issn1580-2949en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage453en_US
dc.identifier.urihttps://hdl.handle.net/11454/17687
dc.identifier.volume48en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Metals Technologyen_US
dc.relation.ispartofMateriali in Tehnologijeen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCeo2en_US
dc.subjectCracken_US
dc.subjectNeural networken_US
dc.subjectSol-gelen_US
dc.titleApplication of a neural network for estimating the crack formation and propagation in sol-gel CeO2 coatings during processing at temperatureen_US
dc.typeArticleen_US

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