The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 6 of 2577
Back to Result List

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.show moreshow less

Download full text files

  • Volltexteng
    (4651KB)

    Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

Export metadata

Metadaten
Document Type:Article
Author: Shahaboddin ShamshirbandORCiD, Meisam BabanezhadORCiD, Amir MosaviORCiD, Narjes NabipurORCiD, Eva Hajnal, Laszlo Nadai, Kwok-Wing ChauORCiD
DOI (Cite-Link):https://doi.org/10.1080/19942060.2020.1715842Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200227-41013Cite-Link
URL:https://www.tandfonline.com/doi/full/10.1080/19942060.2020.1715842
Parent Title (German):Engineering Applications of Computational Fluid Mechanics
Publisher:Taylor & Francis
Language:English
Date of Publication (online):2020/02/21
Date of first Publication:2020/02/03
Release Date:2020/02/27
Publishing Institution:Bauhaus-Universität Weimar
Institutes:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2020
Issue:volume 14, issue 1
Pagenumber:13
First Page:367
Last Page:378
Tag:Bubble column reactor; Machine learning; ant colony optimization algorithm (ACO); big data; computational fluid dynamics (CFD); flow pattern
GND Keyword:Maschinelles Lernen
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik
BKL-Classification:54 Informatik
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2020
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)