Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
- A 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 colonyA 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.…
Dokumentart: | Artikel (Wissenschaftlicher) |
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Verfasserangaben: | Shahaboddin ShamshirbandORCiD, Meisam BabanezhadORCiD, Amir MosaviORCiD, Narjes NabipourORCiD, Eva Hajnal, Laszlo Nadai, Kwok-Wing ChauORCiD |
DOI (Zitierlink): | https://doi.org/10.1080/19942060.2020.1715842Zitierlink |
URN (Zitierlink): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200227-41013Zitierlink |
URL: | https://www.tandfonline.com/doi/full/10.1080/19942060.2020.1715842 |
Titel des übergeordneten Werkes (Deutsch): | Engineering Applications of Computational Fluid Mechanics |
Verlag: | Taylor & Francis |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 21.02.2020 |
Datum der Erstveröffentlichung: | 03.02.2020 |
Datum der Freischaltung: | 27.02.2020 |
Veröffentlichende Institution: | Bauhaus-Universität Weimar |
Institute und Partnereinrichtugen: | Fakultät Bauingenieurwesen / Institut für Strukturmechanik (ISM) |
Jahrgang: | 2020 |
Ausgabe / Heft: | volume 14, issue 1 |
Seitenzahl: | 13 |
Erste Seite: | 367 |
Letzte Seite: | 378 |
Freies Schlagwort / Tag: | OA-Publikationsfonds2020 Bubble column reactor; Machine learning; ant colony optimization algorithm (ACO); big data; computational fluid dynamics (CFD); flow pattern |
GND-Schlagwort: | Maschinelles Lernen |
DDC-Klassifikation: | 500 Naturwissenschaften und Mathematik |
BKL-Klassifikation: | 54 Informatik |
Open Access Publikationsfonds: | Open-Access-Publikationsfonds 2020 |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |