Droplet size prediction model based on the upper limit log-normal distribution function in venturi scrubber

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Droplet size and distribution are important parameters determining venturi scrubber performance. In this paper, we proposed physical models for a maximum stable droplet size prediction and upper limit log-normal (ULLN) distribution parameters. For the proposed maximum stable droplet size prediction model, a Eulerian-Lagrangian framework and a Reitz-Diwakar breakup model are solved simultaneously using CFD calculations to reflect the effect of multistage breakup and droplet acceleration. Then, two ULLN distribution parameters are suggested through best fitting the previously published experimental data. Results show that the proposed approach provides better predictions of maximum stable droplet diameter and Sauter mean diameter compared to existing simple empirical correlations including Boll, Nukiyama and Tanasawa. For more practical purpose, we developed the simple, one dimensional (1-D) calculation of Sauter mean diameter. (C) 2019 Korean Nuclear Society, Published by Elsevier Korea LLC.
Publisher
KOREAN NUCLEAR SOC
Issue Date
2019-08
Language
English
Article Type
Article
Citation

NUCLEAR ENGINEERING AND TECHNOLOGY, v.51, no.5, pp.1261 - 1271

ISSN
1738-5733
DOI
10.1016/j.net.2019.03.014
URI
http://hdl.handle.net/10203/263280
Appears in Collection
NE-Journal Papers(저널논문)
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