Modeling segregation of polydisperse granular materials in developing and transient free-surface flows

Zhekai Deng, Paul B. Umbanhowar, Julio M. Ottino, Richard M. Lueptow*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Predicting segregation and mixing of polydisperse granular materials in industrial processes remains a challenging problem. Here, we extend the application of a general predictive continuum model that captures the effects of segregation, diffusion, and advection in two ways. First, we consider polydisperse segregating flow in developing steady segregation and in developing unsteady segregation. In both cases, several terms in the model that were zero in the previously examined case of fully developed streamwise-periodic steady segregation in a chute are now non-zero, which makes application of the model substantially more challenging. Second, we apply the polydisperse approach to density polydisperse materials with the same particle size. Predictions of the model agree quantitatively with experimentally validated discrete element method (DEM) simulations of both size polydisperse and density polydisperse mixtures having uniform, triangular, and log-normal distributions.

Original languageEnglish (US)
Pages (from-to)882-893
Number of pages12
JournalAIChE Journal
Volume65
Issue number3
DOIs
StatePublished - Mar 2019

Funding

This work was supported by the National Science Foundation under Grant No. CBET-1511450.

Keywords

  • granular
  • modeling
  • polydisperse
  • segregation

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • General Chemical Engineering

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