4.4 Article Proceedings Paper

Possibilities and limitations of computer simulations of industrial turbulent dispersed multiphase flows

期刊

FLOW TURBULENCE AND COMBUSTION
卷 77, 期 1-4, 页码 381-403

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SPRINGER
DOI: 10.1007/s10494-006-9051-5

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multiphase flows; dispersed flows; turbulent flows; industrial flows; Eulerian-Lagrangian; Eulerian-Eulerian

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We give an overview on the usage of computer simulations in industrial turbulent dispersed multiphase flows. We present a few examples of industrial flows: bubble columns and bubbly pipe flows, stirred tanks, cyclones, and a fluid catalytic cracking unit. The fluid catalytic cracking unit is used to illustrate the complexity of the physical phenomena involved, and the possibilities and limitations of the different approaches used: Eulerian-Lagrangian (particle-tracking) and Eulerian-Eulerian (two-fluid). In the first approach, the continuous phase is solved using either RANS simulations (Reynolds-Averaged Navier-Stokes simulations) or DNS/LES (Direct Numerical Simulations/Large-Eddy Simulations), and the individual particles are tracked. In the second approach, the dispersed phase is averaged, leading to two sets equations, which are quite similar to the RANS equations of single-phase flows. The Eulerian-Eulerian approach is the most commonly used in industrial applications, however, it requires a significant amount of modelling. Eulerian-Lagrangian RANS can be simpler to use; in particular in situations involving complex boundary conditions, polydisperse flows and agglomeration/breakup. The key issue for the success of the simulations is to have good models for the complex physics involved. A major weakness is the lack of good models for: the turbulence modification promoted by the particles, the inter-particle interactions, and the near-wall effects. Eulerian-Lagrangian DNS/LES can play an important role as a research tool, in order to get a better physical understanding, and to improve the models used in the RANS simulations (either Eulerian-Eulerian or Eulerian-Lagrangian).

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