A comparative investigation on bubble dynamics in gas–solid separation fluidized bed using Geldart A, B, D and Geldart A- particle

Yangfan Xu, Dan Wang, Liang Dong, Yuqing Feng, Zhi Zhang, Xiaoyang Wei, Chenlong Duan, Chenyang Zhou

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)

Abstract

Dense medium has a certain impact on the separation efficiency of gas–solid fluidized bed separation. Geldart A- particle, a new type of dense medium, can effectively improve the expansion of the emulsion phase and the separation efficiency in the fluidized bed. This work is aimed to investigate the differences of bubble dynamics for Geldart A, B, D and A- particle fluidized beds with digital image analysis technology in a two-dimensional gas–solid fluidized bed. The bubble number and size distributions are consistent with those in literature for Geldart A, B and D particle fluidized beds. The bubble size is smaller for Geldart A- particle fluidized beds. Due to the bubble rupture neglected in the Darton bubble growth model, a new correlation based Darton bubble growth model has been extended, which has approximately 15% accuracy region. Additionally, the bubble rising velocity was studied. The extended Davidson correlation, which has approximately 15% accuracy region, is a good method to predict the bubble rising velocity. Thus, the separation efficiency of gas–solid fluidized bed separation could be improved for Geldart A- particle.

Original languageEnglish
Article number104637
JournalAdvanced Powder Technology
Volume35
Issue number10
DOIs
Publication statusPublished - Oct 2024

Keywords

  • Bubble dynamics
  • Digital image analysis technology
  • Gas-solid separation fluidized bed
  • Single and binary dense medium

ASJC Scopus subject areas

  • General Chemical Engineering
  • Mechanics of Materials

Fingerprint

Dive into the research topics of 'A comparative investigation on bubble dynamics in gas–solid separation fluidized bed using Geldart A, B, D and Geldart A- particle'. Together they form a unique fingerprint.

Cite this