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  4. Direct numerical simulation of the interfacial mass transfer of a bubble in self-induced turbulent flows
 
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Direct numerical simulation of the interfacial mass transfer of a bubble in self-induced turbulent flows

Publikationstyp
Journal Article
Date Issued
2019-06
Sprache
English
Author(s)
Jin, Yan 
Schlüter, Michael  orcid-logo
Institut
Mehrphasenströmungen V-5  
TORE-URI
http://hdl.handle.net/11420/2197
Journal
International journal of heat and mass transfer  
Volume
135
Start Page
1248
End Page
1259
Citation
International Journal of Heat and Mass Transfer (135): 1248-1259 (2019-06)
Publisher DOI
10.1016/j.ijheatmasstransfer.2019.02.067
Scopus ID
2-s2.0-85062147258
Bubbly flows and the interfacial mass transfer of bubbles are important processes in chemical engineering. The mass transfer rate of bubbles is usually approximated by using a correlation of the Sherwood number since the direct simulation or measurement of the behavior for each bubble is too expensive for industrial applications. However, the effect of turbulence induced by the bubble swarm on bubble's mass transfer is very complicated and its impact on the Sherwood number is still not clear. As the first step of understanding the effect of swarm turbulence, we have simulated the interfacial mass transfer of a bubble in self-induced turbulence using a direct numerical simulation (DNS) method. The gas phase is accounted for using a volume of fluid method. The effects of bubble Reynolds number, Schmidt number, bubble's volume fraction, and Eötvös number on the flow and species concentration fields have been studied. The Reynolds numbers in the range 100–400, the Schmidt numbers in the range 1–4 are under consideration. Based on our DNS results, a correlation for the Sherwood number has been proposed. The effect of the bubble's volume fraction and the Eötvös number can be accounted for in the proposed correlation. We expect that the general form of the correlation can be used for real bubble swarms, however, the model coefficients should be determined from the experimental/DNS data obtained under the real conditions. © 2019
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