Literature DB >> 29862894

CFD Simulation of flow pattern in a bubble column reactor for forming aerobic granules and its development.

Wenwen Fan1, LinJiang Yuan1, Yonglin Li1.   

Abstract

The flow pattern is considered to play an important role in the formation of aerobic granular sludge in a bubble column reactor; therefore, it is necessary to understand the behavior of the flow in the reactor. A three-dimensional computational fluid dynamics (CFD) simulation for bubble column reactor was established to visualize the flow patterns of two-phase air-liquid flow and three-phase air-liquid-sludge flow under different ratios of height to diameter (H/D ratio) and superficial gas upflow velocities (SGVs). Moreover, a simulation of the three-phase flow pattern at the same SGV and different characteristics of the sludge was performed in this study. The results show that not only SGV but also properties of sludge involve the transformation of flow behaviors and relative velocity between liquid and sludge. For the original activated sludge floc to cultivate aerobic granules, the flow pattern has nothing to do with sludge, but is influenced by SGV, and the vortices is occurred and the relative velocity is increased with an increase in SGV; the two-phase flow can simplify the three-phase flow that predicts the flow pattern development in bubble column reactor (BCR) for aerobic granulation. For the aerobic granules, the liquid flow behavior developed from the symmetrical circular flow to numbers and small-size vortices with an increase in the sludge diameter, the relative velocity is amount up to ur = 5.0, it is 29.4 times of original floc sludge.

Entities:  

Keywords:  Aerobic granules; BCR; CFD; SGV; flow pattern

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Year:  2018        PMID: 29862894     DOI: 10.1080/09593330.2018.1484522

Source DB:  PubMed          Journal:  Environ Technol        ISSN: 0959-3330            Impact factor:   3.247


  1 in total

1.  Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow.

Authors:  Meisam Babanezhad; Iman Behroyan; Ali Taghvaie Nakhjiri; Azam Marjani; Mashallah Rezakazemi; Amir Heydarinasab; Saeed Shirazian
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

  1 in total

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