A priori prediction of aggregation efficiency and rate constant for fluidized bed melt granulation

Kel W. Chua, Yassir Makkawi, Michael J. Hounslow

Research output: Contribution to journalArticle

Abstract

This paper presents a predictive aggregation rate model for spray fluidized bed melt granulation. The aggregation rate constant was derived from probability analysis of particle–droplet contact combined with time scale analysis of droplet solidification and granule–granule collision rates. The latter was obtained using the principles of kinetic theory of granular flow (KTGF). The predicted aggregation rate constants were validated by comparison with reported experimental data for a range of binder spray rate, binder droplet size and operating granulator temperature. The developed model is particularly useful for predicting particle size distributions and growth using population balance equations (PBEs).
Original languageEnglish
Pages (from-to)291-297
Number of pages7
JournalChemical Engineering Science
Volume98
DOIs
Publication statusPublished - 19 Jul 2013

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Chemical engineering science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Chua, KW, Makkawi, Y & Hounslow, MJ, 'A priori prediction of aggregation efficiency and rate constant for fluidized bed melt granulation' Chemical engineering science, vol. 98 (2013) DOI http://dx.doi.org/10.1016/j.ces.2013.05.018

Keywords

  • aggregation rate constant
  • particle technology
  • particle processing
  • population balance equation
  • granulation
  • fluidization

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