A coupled Particle-In-Cell (PIC)-Discrete Element Method (DEM) solver for fluid-solid mixture flow simulations

Qiang Chen, Chongwei Zhang, Jun Zang, Dezhi Ning

Research output: Contribution to journalArticle

Abstract

In this paper, a coupled Particle-In-Cell (PIC)-Discrete Element Method (DEM) model is developed for numerical simulations of complex fluid–solid mixture flows. The fluid–solid interaction part is solved using the hybrid Eulerian–Lagrangian PIC model, and the solid–solid interaction part is simulated using the Lagrangian DEM model. The PIC model gives the coupled PIC-DEM model both Eulerian efficiency and Lagrangian flexibility, compared to purely Lagrangian methods such as Smoothed Particle Hydrodynamics (SPH). The time step difference between the PIC model and the DEM model is handled using the idea of subcycles. In addition, a straightforward method is proposed for mitigating the issue of unphysical gaps between solids during collision due to the use of the Cartesian cut cell method for fluid–solid interaction. The PIC-DEM model is validated by physical experiments of the collapse of solid cylinder layers with and without water. Following that, the capability of the numerical model is further demonstrated through a more complex problem of solid dumping through fall pipes. The results show great potential of the PIC-DEM model being a useful tool for simulating complex fluid–solid mixture flows.
Original languageEnglish
Article number102772
Pages (from-to)1-15
Number of pages15
JournalJournal of Fluids and Structures
Volume91
Early online date28 Oct 2019
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • Discrete Element Method (DEM)
  • Fall-pipe solid dumping
  • Fluid–solid mixture flows
  • Particle-In-Cell (PIC) method

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

A coupled Particle-In-Cell (PIC)-Discrete Element Method (DEM) solver for fluid-solid mixture flow simulations. / Chen, Qiang; Zhang, Chongwei; Zang, Jun; Ning, Dezhi.

In: Journal of Fluids and Structures, Vol. 91, 102772, 01.11.2019, p. 1-15.

Research output: Contribution to journalArticle

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