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CFD-DEM modelling


A '''CFD-DEM model''' is suitable for the modeling or [[simulation]] of fluid-solids or fluid-particles systems. In a typical CFD-DEM model, the phase motion of [[wikt:discrete|discrete]] solids or particles is obtained by the [[Discrete Element Method]] (DEM) which applies [[Newton's laws of motion]] to every particle<ref>Cundall P. A., Strack O. D. L., (1979). Discrete numerical-model for granular assemblies. Geotechnique, 29, 47-65</ref> and the flow of continuum fluid is described by the local averaged Navier–Stokes equations that can be solved by the traditional [[Computational Fluid Dynamics]] (CFD).<ref>''e.g.'', see {{Cite journal|author=Chorin A. J.|year=1968|title=Numerical solution of the Navier-Stokes equations|journal=Mathematics of Computation|volume=22|pages=745&ndash;762|doi=10.2307/2004575|doi-access=free}}</ref> The model is first proposed by Tsuji et al.<ref>Tsuji Y., Tanaka T., Ishida T., (1992). Lagrangian numerical-simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technology, 71, 239-250</ref><ref>Tsuji Y, Kawaguchi T, Tanaka T. Discrete Particle Simulation Of 2-Dimensional Fluidized-Bed. Powder Technology. 1993 Oct;77(1):79-87</ref> The interactions between the fluid phase and solids phase is better modeled according to [[Newton's third law]].<ref>{{Cite journal|author=Xu B. H. and Yu, A. B.|year=1997|title=Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics|journal=Chemical Engineering Science|volume=52|number=16|pages=2785&ndash;2809|doi=10.1016/s0009-2509(97)00081-x}}</ref>


==Software==
CFD-DEM model is suitable for the modelling or simulation of fluid-solids or fluid-particles systems. In the CFD-DEM, the motion of discerete solids or particles phase is obtained by Discrete Element Method (DEM) which applies Newton's laws of motion to every particle and the flow of continuum fluid is described by the local averaged Navier–Stokes equations that can be solved by averaged Navier–Stokes equations that can be solved by the traditional Computational Fluid Dynamics (CFD). The interactions between the fluid phase and solids phase is modeled by use of Newton's third law.


Open source and non-commercial software:
* The open source CFD software [https://openfoam.org OpenFOAM] includes particle methods, including DEM, and solvers that couple CFD-DEM.
* [http://www.cfdem.com/ CFDEMcoupling (DCS Computing GmbH)] couples CFD from OpenFOAM with open source DEM software, LIGGGHTS.
* [https://mfix.netl.doe.gov MFiX](Open Source multiphase flow simulation package).
*The commercial software [[Simcenter STAR-CCM+]] is an integrated multiphysics solution capable of CFD-DEM coupling involving single or multiphase flow, chemical reactions, electromagnetism and heat transfer


==Parallelization==
Refs.

[1] Tsuji Y, Kawaguchi T, Tanaka T. Discrete Particle Simulation Of 2-Dimensional Fluidized-Bed. Powder Technology. 1993 Oct;77(1):79-87.
OpenMP has been shown to be more efficient in performing coupled CFD-DEM calculations in parallel framework as compared to [[Message Passing Interface|MPI]] by Amritkar et al.<ref>{{Cite journal|doi=10.1016/j.jcp.2013.09.007|title=Efficient parallel CFD-DEM simulations using OpenMP|year=2014|last1=Amritkar|first1=Amit|last2=Deb|first2=Surya|last3=Tafti|first3=Danesh|journal=Journal of Computational Physics|volume=256|page=501|bibcode=2014JCoPh.256..501A}}</ref>
[2] Xu BH, Yu AB. Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics. Chemical Engineering Science. 1997 Aug;52(16):2785-809.

[3] KW Chu, AB Yu, Numerical simulation of complex particle-fluid flows, Powder Technology, 179 (2008), pp. 104-14.
==References==
{{Reflist}}
{{-}}

[[Category:Simulation software]]


{{physics-software-stub}}

Latest revision as of 17:48, 24 July 2022

A CFD-DEM model is suitable for the modeling or simulation of fluid-solids or fluid-particles systems. In a typical CFD-DEM model, the phase motion of discrete solids or particles is obtained by the Discrete Element Method (DEM) which applies Newton's laws of motion to every particle[1] and the flow of continuum fluid is described by the local averaged Navier–Stokes equations that can be solved by the traditional Computational Fluid Dynamics (CFD).[2] The model is first proposed by Tsuji et al.[3][4] The interactions between the fluid phase and solids phase is better modeled according to Newton's third law.[5]

Software

[edit]

Open source and non-commercial software:

  • The open source CFD software OpenFOAM includes particle methods, including DEM, and solvers that couple CFD-DEM.
  • CFDEMcoupling (DCS Computing GmbH) couples CFD from OpenFOAM with open source DEM software, LIGGGHTS.
  • MFiX(Open Source multiphase flow simulation package).
  • The commercial software Simcenter STAR-CCM+ is an integrated multiphysics solution capable of CFD-DEM coupling involving single or multiphase flow, chemical reactions, electromagnetism and heat transfer

Parallelization

[edit]

OpenMP has been shown to be more efficient in performing coupled CFD-DEM calculations in parallel framework as compared to MPI by Amritkar et al.[6]

References

[edit]
  1. ^ Cundall P. A., Strack O. D. L., (1979). Discrete numerical-model for granular assemblies. Geotechnique, 29, 47-65
  2. ^ e.g., see Chorin A. J. (1968). "Numerical solution of the Navier-Stokes equations". Mathematics of Computation. 22: 745–762. doi:10.2307/2004575.
  3. ^ Tsuji Y., Tanaka T., Ishida T., (1992). Lagrangian numerical-simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technology, 71, 239-250
  4. ^ Tsuji Y, Kawaguchi T, Tanaka T. Discrete Particle Simulation Of 2-Dimensional Fluidized-Bed. Powder Technology. 1993 Oct;77(1):79-87
  5. ^ Xu B. H. and Yu, A. B. (1997). "Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics". Chemical Engineering Science. 52 (16): 2785–2809. doi:10.1016/s0009-2509(97)00081-x.
  6. ^ Amritkar, Amit; Deb, Surya; Tafti, Danesh (2014). "Efficient parallel CFD-DEM simulations using OpenMP". Journal of Computational Physics. 256: 501. Bibcode:2014JCoPh.256..501A. doi:10.1016/j.jcp.2013.09.007.