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dc.contributor.authorSosnowski, Marcin
dc.contributor.authorKrzywanski, Jaroslaw
dc.contributor.authorŠčurek, Radomír
dc.date.accessioned2020-01-20T09:04:56Z
dc.date.available2020-01-20T09:04:56Z
dc.date.issued2019
dc.identifier.citationEntropy. 2019, vol. 21, issue 11, art. no. 1047.cs
dc.identifier.issn1099-4300
dc.identifier.urihttp://hdl.handle.net/10084/139086
dc.description.abstractA crucial step in any computational fluid dynamics (CFD) analysis is the discretization of the domain because it influences truncation errors, numerical stability, and the convergence of the model. Therefore, the appropriate selection of numerical mesh parameters crucially contributes to the reliability of the obtained results. Therefore, an innovative approach to reducing the mesh-induced error in CFD analysis of an impinging jet using fuzzy logic is proposed within the paper. The flow parameters were obtained using the Reynolds-averaged Navier–Stokes calculations, based on the mesh parameters obtained using the grid convergence index and fuzzy logic, were compared to each other and to experimental research results. The fuzzy logic approach to define mesh parameters turned out to be a very promising method as it allowed us to obtain results that are qualitatively and quantitatively comparable to commonly used but far more time-consuming methods.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesEntropycs
dc.relation.urihttps://doi.org/10.3390/e21111047cs
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectimpinging jetcs
dc.subjectdomain discretizationcs
dc.subjectfuzzy logiccs
dc.subjectgrid convergence indexcs
dc.titleA fuzzy logic approach for the reduction of mesh-induced error in CFD analysis: A case study of an impinging jetcs
dc.typearticlecs
dc.identifier.doi10.3390/e21111047
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume21cs
dc.description.issue11cs
dc.description.firstpageart. no. 1047cs
dc.identifier.wos000502145000020


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.