4.7 Article

A level-set model for mass transfer in bubbly flows

期刊

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2019.04.008

关键词

Bubbly flow; Heat transfer; Mass transfer; Unstructured meshes; Finite-volume method; Level-set method; Flux limiters

资金

  1. Ministerio de Economia y Competitividad, Secretaria de Estado de Investigacion, Desarrollo e InnovaciOn (MINECO), Spain [ENE2015-70672-P]
  2. Termo Fluids S.L.
  3. Programa Torres Quevedo, MINECO, Spain [PTQ-14-07186]
  4. MINECO [DI-14-06886]
  5. Generalitat de Catalunya, Spain [2015DI-68]
  6. PRACE 14th-Call [2016153612]
  7. RES [FI-2018-1-0025]
  8. Santander Supercomputing group at the University of Cantabria (IFCA-CSIC) [FI-2018-3-0037]

向作者/读者索取更多资源

A level-set model is presented for simulating mass transfer or heat transfer in two-phase flows. The Navier-Stokes equations and mass transfer (or heat transfer) equation are discretized using a finite volume method on a collocated unstructured mesh, whereas a multiple marker level-set approach is used for interface capturing in bubble swarms. This method avoids the numerical coalescence of the fluid particles, whereas the mass conservation issue inherent to standard level-set methods is circumvented. Furthermore, unstructured flux-limiter schemes are used to discretize the convective term of momentum transport equation, level-set equations, and chemical species concentration equation, to avoid numerical oscillations around discontinuities, and to minimize the numerical diffusion. A convection-diffusionreaction equation is used as a mathematical model for the chemical species mass transfer at the continuous phase. Because the mathematical analogy between dilute mass transfer and heat transfer, the same numerical model is applicable to solve both phenomena. The capabilities of this model are proved for the diffusion of chemical species from a sphere, external mass transfer in the buoyancy-driven motion of single bubbles and bubble swarms. Results are extensively validated by comparison with analytical solutions and empirical correlations from the literature. (C) 2019 Elsevier Ltd. All rights reserved.

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