CFD modeling of immiscible liquids turbulent dispersion in Kenics static mixers: Focusing on droplet behavior

Haddadi, M. M ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1016/j.cjche.2019.07.020
  3. Publisher: Chemical Industry Press , 2020
  4. Abstract:
  5. The present study is concerned with the computational fluid dynamics (CFD) simulation of turbulent dispersion of immiscible liquids, namely, water–silicone oil and water–benzene through Kenics static mixers using the Eulerian–Eulerian and Eulerian–Lagrangian approaches of the ANSYS Fluent 16.0 software. To study the droplet size distribution (DSD), the Eulerian formulation incorporating a population balance model (PBM) was employed. For the Eulerian–Lagrangian approach, a discrete phase model (DPM) in conjunction with the Eulerian approach for continuous phase simulation was used to predict the residence time distribution (RTD) of droplets. In both approaches, a shear stress transport (SST) k − ω turbulence model was used. For validation purposes, the simulated results were compared with the experimental data and theoretical values for the Fanning friction factor, Sauter mean diameter and the mean residence time. The reliability of the computational model was further assessed by comparing the results with the available empirical correlations for Fanning friction factor and Sauter mean diameter. In addition, the influence of important geometrical and operational parameters, including the number of mixing elements and Weber number, was studied. It was found that the proposed models are capable of predicting the performance of the Kenics static mixer reasonably well. © 2019 Elsevier B.V
  6. Keywords:
  7. CFD ; Eulerian–Eulerian approach ; Eulerian–Lagrangian approach ; Kenics static mixer ; Liquid–liquid dispersion ; Computational fluid dynamics ; Computer software ; Dispersions ; Drop breakup ; Friction ; Lagrange multipliers ; Liquids ; Mixers (machinery) ; Shear stress ; Silicones ; Turbulence models ; Computational fluid dynamics simulations ; Droplet size distributions ; Eulerian approach ; La-grangian approaches ; Liquid dispersions ; Population balance modeling ; Sauter mean diameter (SMD) ; Residence time distribution
  8. Source: Chinese Journal of Chemical Engineering ; Volume 28, Issue 2 , 2020 , Pages 348-361
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S1004954119308171