Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Droplet size prediction model based on the upper limit log-normal distribution function in venturi scrubber

  • Lee, Sang Won (Korea Hydro and Nuclear Power - Central Research Institute) ;
  • No, Hee Cheon (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology)
  • Received : 2019.01.24
  • Accepted : 2019.03.18
  • Published : 2019.06.25
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Abstract

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.

Keywords

References

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