Numerical study of the particle sedimentation in a viscous fluid using a coupled DEM-IB-CLBM approach

Ya Zhang, Yonghao Zhang, Guang Pan, Sina Haeri

Research output: Contribution to journalArticle

5 Citations (Scopus)
2 Downloads (Pure)

Abstract

At low terminal Reynolds numbers Re = 2 - 10, there are multiple asymmetrical principal movement states for the sedimentation of a pair of particles in a channel filled with a viscous fluid. The main emphasis of this work is to investigate the formation process of these states and the effect of the natural rotation on the process when particles are released symmetrically. The flow field around each particle is fully resolved with an Immersed Boundary Method (IBM) coupled with the Cascaded Lattice Boltzmann Method (CLBM). An improved algorithm is developed to couple IBM with CLBM which can fully exploit the Graphic Processing Unit (GPU) for parallelisation. The collision between particles is handled with the Discrete Element Model (DEM). The approach is validated considering the sedimentation of a single particle released asymmetrically and also the Drafting-Kissing-Tumbling (DKT) problem of two particles.
The trajectories of particles corresponding to different principal movement states are determined for the sedimentation of a pair of particles released symmetrically in a long narrow channel. By analysing the trajectories, it is found that particles go through two distinct symmetry breaking phenomena, a sudden lateral migration that leads to asymmetrical movement centres, and (or) a divergent oscillation that leads to a zero phase lag between the fundamental frequencies of oscillating particles. Since particle's lateral movement and natural rotation display a strong coherence of nearly 1.0 over a transitional oscillatory period, the trajectories of particles without rotational degree-of-freedom are then considered to determine the impacts of natural rotation on the principal movement states. It is shown that the lateral migration can still take place even after removing the rotational degree-of-freedom. However, the divergent oscillation disappears, which makes particles move in a steady oblique or horizontal structure and leads to a smaller terminal Reynolds number.
Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalJournal of Computational Physics
Volume368
Early online date30 May 2018
DOIs
Publication statusPublished - 1 Sep 2018

Keywords

  • particle sedimentation
  • immersed boundary
  • fully ressolved simulations
  • cascaded Lattice Boltzmann
  • co-processor acceleration
  • graphics processing units

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  • Research Output

    • 5 Citations
    • 1 Article

    A relaxed multi-direct-forcing immersed boundary-cascaded lattice Boltzmann method accelerated on GPU

    Zhang, Y., Pan, G., Zhang, Y. & Haeri, S., 31 Mar 2020, In : Computer Physics Communications. 248, 13 p., 106980.

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)

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