Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/82213
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorShamshirband, S-
dc.creatorBabanezhad, M-
dc.creatorMosavi, A-
dc.creatorNabipour, N-
dc.creatorHajnal, E-
dc.creatorNadai, L-
dc.creatorChau, KW-
dc.date.accessioned2020-05-05T05:59:07Z-
dc.date.available2020-05-05T05:59:07Z-
dc.identifier.issn1994-2060-
dc.identifier.urihttp://hdl.handle.net/10397/82213-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2020 The Author(s).en_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citeden_US
dc.rightsThe following publication Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, NarjesNabipour, Eva Hajnal, Laszlo Nadai & Kwok-Wing Chau (2020) Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biologicalants, Engineering Applications of Computational Fluid Mechanics, 14:1, 367-378 is available at https://dx.doi.org/10.1080/19942060.2020.1715842en_US
dc.subjectBubble column reactoren_US
dc.subjectAnt colony optimization algorithm (ACO)en_US
dc.subjectFlow patternen_US
dc.subjectMachine learningen_US
dc.subjectComputational fluid dynamics (cfd)en_US
dc.subjectBig dataen_US
dc.titlePrediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological antsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage367-
dc.identifier.epage378-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.doi10.1080/19942060.2020.1715842-
dcterms.abstractA novel combination of the ant colony optimization algorithm (ACO)and computational fluid dynamics (CFD) data is proposed for modeling the multiphase chemical reactors. The proposed intelligent model presents a probabilistic computational strategy for predicting various levels of three-dimensional bubble column reactor (BCR) flow. The results prove an enhanced communication between ant colony prediction and CFD data in different sections of the BCR.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering applications of computational fluid mechanics, 2020, v. 14, no. 1, p. 367-378-
dcterms.isPartOfEngineering applications of computational fluid mechanics-
dcterms.issued2020-
dc.identifier.isiWOS:000510539200001-
dc.identifier.scopus2-s2.0-85079144246-
dc.identifier.eissn1997-003X-
dc.description.validate202006 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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