Comparison of different drag models in CFD-DEM simulations of spouted beds

Filippo Marchelli, Qinfu Hou, Barbara Bosio, Elisabetta Arato, Aibing Yu

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Spouted beds are commonly simulated through the Computational Fluid Dynamics – Discrete Element Method approach. The choice of the drag model is still a matter of debate, as they feature peculiar operative conditions. In this work, we simulated two spouted beds containing Geldart-D particles. We tested seven drag models: three are classic models, while four are developed through advanced computational techniques. The results indicate that the key variable is the ratio between the operative and the minimum spouting gas velocity (u/ums). At u = ums only the Gidaspow model can always predict fluidisation, but at low u/ums values the Beetstra model is the best compromise. For higher values, the Rong and Di Felice models behave better, while the others overestimate the particles' velocity. These results can be useful to identify the best performing model and show there is a need for more appropriate models for spouted beds.

Original languageEnglish
Pages (from-to)1253-1270
Number of pages18
JournalPowder Technology
Volume360
DOIs
Publication statusPublished - 15 Jan 2020

Keywords

  • Eulerian-Lagrangian approach
  • Fluidisation
  • Gas-solid exchange coefficient
  • Spouted bed
  • User-defined function

Cite this

Marchelli, Filippo ; Hou, Qinfu ; Bosio, Barbara ; Arato, Elisabetta ; Yu, Aibing. / Comparison of different drag models in CFD-DEM simulations of spouted beds. In: Powder Technology. 2020 ; Vol. 360. pp. 1253-1270.
@article{640d8fbaa1cb4cce8c012e46594e5661,
title = "Comparison of different drag models in CFD-DEM simulations of spouted beds",
abstract = "Spouted beds are commonly simulated through the Computational Fluid Dynamics – Discrete Element Method approach. The choice of the drag model is still a matter of debate, as they feature peculiar operative conditions. In this work, we simulated two spouted beds containing Geldart-D particles. We tested seven drag models: three are classic models, while four are developed through advanced computational techniques. The results indicate that the key variable is the ratio between the operative and the minimum spouting gas velocity (u/ums). At u = ums only the Gidaspow model can always predict fluidisation, but at low u/ums values the Beetstra model is the best compromise. For higher values, the Rong and Di Felice models behave better, while the others overestimate the particles' velocity. These results can be useful to identify the best performing model and show there is a need for more appropriate models for spouted beds.",
keywords = "Eulerian-Lagrangian approach, Fluidisation, Gas-solid exchange coefficient, Spouted bed, User-defined function",
author = "Filippo Marchelli and Qinfu Hou and Barbara Bosio and Elisabetta Arato and Aibing Yu",
year = "2020",
month = "1",
day = "15",
doi = "10.1016/j.powtec.2019.10.058",
language = "English",
volume = "360",
pages = "1253--1270",
journal = "Powder Technology",
issn = "0032-5910",
publisher = "Elsevier",

}

Comparison of different drag models in CFD-DEM simulations of spouted beds. / Marchelli, Filippo; Hou, Qinfu; Bosio, Barbara; Arato, Elisabetta; Yu, Aibing.

In: Powder Technology, Vol. 360, 15.01.2020, p. 1253-1270.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Comparison of different drag models in CFD-DEM simulations of spouted beds

AU - Marchelli, Filippo

AU - Hou, Qinfu

AU - Bosio, Barbara

AU - Arato, Elisabetta

AU - Yu, Aibing

PY - 2020/1/15

Y1 - 2020/1/15

N2 - Spouted beds are commonly simulated through the Computational Fluid Dynamics – Discrete Element Method approach. The choice of the drag model is still a matter of debate, as they feature peculiar operative conditions. In this work, we simulated two spouted beds containing Geldart-D particles. We tested seven drag models: three are classic models, while four are developed through advanced computational techniques. The results indicate that the key variable is the ratio between the operative and the minimum spouting gas velocity (u/ums). At u = ums only the Gidaspow model can always predict fluidisation, but at low u/ums values the Beetstra model is the best compromise. For higher values, the Rong and Di Felice models behave better, while the others overestimate the particles' velocity. These results can be useful to identify the best performing model and show there is a need for more appropriate models for spouted beds.

AB - Spouted beds are commonly simulated through the Computational Fluid Dynamics – Discrete Element Method approach. The choice of the drag model is still a matter of debate, as they feature peculiar operative conditions. In this work, we simulated two spouted beds containing Geldart-D particles. We tested seven drag models: three are classic models, while four are developed through advanced computational techniques. The results indicate that the key variable is the ratio between the operative and the minimum spouting gas velocity (u/ums). At u = ums only the Gidaspow model can always predict fluidisation, but at low u/ums values the Beetstra model is the best compromise. For higher values, the Rong and Di Felice models behave better, while the others overestimate the particles' velocity. These results can be useful to identify the best performing model and show there is a need for more appropriate models for spouted beds.

KW - Eulerian-Lagrangian approach

KW - Fluidisation

KW - Gas-solid exchange coefficient

KW - Spouted bed

KW - User-defined function

UR - http://www.scopus.com/inward/record.url?scp=85075834146&partnerID=8YFLogxK

U2 - 10.1016/j.powtec.2019.10.058

DO - 10.1016/j.powtec.2019.10.058

M3 - Article

VL - 360

SP - 1253

EP - 1270

JO - Powder Technology

JF - Powder Technology

SN - 0032-5910

ER -