Mathematical modelling of batch sedimentation subject to slow aggregate densification

Yi Zhang, Paul Grassia, Alastair Martin, Shane P. Usher, Peter J. Scales

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
100 Downloads (Pure)

Abstract

This paper considers an initially networked suspension in a batch settler subjected to very slow aggregate densification. The so-called pseudo-steady state aggregate densification theory developed by van Deventer (2012) has been extended to the case of initially networked suspensions. The solids behaviour and the evolutions of the suspension height and the consolidated bed height in the batch settler have been predicted using the extended pseudo-steady state theory. Different formulae for the weight-bearing strength of the consolidated bed (so-called weak gel and strong gel formulae, which differ near the top of the bed) are considered. The suspension height approaches the consolidated bed height far more quickly when using the weak gel formula than when using the strong gel one. This paper also investigates how the initial feed solids volume fraction and the initial suspension height affect the evolutions of the heights of the suspension and the consolidated bed, as well as the determinations of the solids volume fractions obtained at the bottom of the batch settler. When the initial feed solids fraction is sufficiently large and/or the initial suspension is sufficiently tall, the densification process has little effect on the solids fraction observed at the bottom of the settler
Original languageEnglish
Pages (from-to)54-63
Number of pages10
JournalChemical Engineering Science
Volume128
Early online date16 Feb 2015
DOIs
Publication statusPublished - 25 May 2015

Keywords

  • gels
  • rheology
  • suspension
  • mathematical modelling
  • compressive yield stress
  • sedimentation

Fingerprint

Dive into the research topics of 'Mathematical modelling of batch sedimentation subject to slow aggregate densification'. Together they form a unique fingerprint.

Cite this