Measuring segregation characteristics of industrially relevant granular mixtures: Part I – A continuum model approach

Alexander M. Fry, Vidya Vidyapati, John P. Hecht, Paul B. Umbanhowar*, Julio M. Ottino, Richard M. Lueptow

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We present a method to estimate the segregation parameter, S, a key input in a continuum transport model of particulate flows. S is determined by minimizing the difference between measured and model-predicted concentration profiles. To validate the approach, we conduct discrete element method simulations of size-bidisperse mixtures in quasi-2D bounded heap flow; the resulting data show that S calculated from concentration profiles is consistent with the directly measured value. The method's accuracy depends critically on the velocity profile during filling, but only weakly on the diffusion coefficient. When the velocity profile is nominally spanwise invariant, the error between estimated and measured S is 10%. This method is intended for practical application (described in Part II), so we restrict characterization of the velocity profile to that which can be readily determined experimentally, and explore the sensitivity of concentration profiles to variation of the gap between the sidewalls of the heap.

Original languageEnglish (US)
Pages (from-to)190-201
Number of pages12
JournalPowder Technology
Volume368
DOIs
StatePublished - May 15 2020

Funding

Funded by the Procter & Gamble Company.

Keywords

  • Continuum modeling
  • Granular materials
  • Mixing
  • Particulate flow
  • Segregation

ASJC Scopus subject areas

  • General Chemical Engineering

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