Estimation of the minimum fluidisation velocities in well-mixed bi-disperse fluidised beds

Mark Gilbertson*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)
165 Downloads (Pure)


A method for estimating minimum fluidisation velocities in a well-mixed, bidisperse fluidised bed of spherical particles is described where a drag model is
combined with a particle packing model. The method described does not require empirical input about a specific particle mixture, and so these minimum fluidisation velocities can be estimated over wide ranges of size and density
ratios. The treatment is fully non-dimensionalised. It is shown that two minimum fluidisation velocities may be defined for a well mixed bi-disperse bed:
the gas speed at which fluidisation initiates determined from considering the bed as a whole, and a higher one corresponding to the balance of forces on
an individual particle. The differences between bi- and mono-disperse beds are
the change in particle volume fraction owing to packing, the difference in drag
around individual particles compared with the average drag, and the action of
the hydrostatic pressure gradient. The latter two effects tend to increase the
difference between the two limits of minimum fluidisation velocity, while packing decreases it and intensifies the dependence on mass fraction of the minimum
fluidisation velocities. The influence of inertia is determined from particle properties through an Archimedes number. Though the inertial effects are not large for a wide range of particles, they can start to dominate other influences on the minimum fluidisation velocities as particle diameter increases.
Original languageEnglish
Pages (from-to)433-440
Number of pages8
JournalPowder Technology
Early online date13 Feb 2019
Publication statusPublished - 15 Mar 2019


  • Fluidisation
  • Minimum fluidisation velocity
  • Particles


Dive into the research topics of 'Estimation of the minimum fluidisation velocities in well-mixed bi-disperse fluidised beds'. Together they form a unique fingerprint.

Cite this