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Cited by 718

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Mixing and Segregation of Granular Materials

Ottino, J. M., Khakhar, D. V.·2000·Annual Review of Fluid Mechanics

Abstract

▪ Abstract Granular materials segregate. Small differences in either size or density lead to flow-induced segregation, a complex phenomenon without parallel in fluids. Modeling of mixing and segregation processes requires the confluence of several tools, including continuum and discrete descriptions (particle dynamics, Monte Carlo simulations, cellular automata computations) and, often, considerable geometrical insight. None of these viewpoints, however, is wholly satisfactory by itself. Moreover, continuum and discrete descriptions of granular flows are regime dependent, and this fact may require adopting different subviewpoints. This review organizes a body of knowledge that forms—albeit imperfectly—the beginnings of an expandable continuum framework for the description of mixing and segregation of granular materials. We focus primarily on noncohesive particles, possibly differing in size, density, shape, etc. We present segregation mechanisms and models for size and density segregation and introduce chaotic advection, which appears in noncircular tumblers. Chaotic advection interacts in nontrivial ways with segregation in granular materials and leads to unique equilibrium structures that serve as a prototype for systems displaying organization in the midst of disorder.

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Metadata

Authors
Ottino, J. M., & Khakhar, D. V.
Venue
Annual Review of Fluid Mechanics
Published
2000-01
Volume
32
Issue
1
Pages
55-91
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W1992506826
Cited by
718
References
40
FWCI
1.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mixing and Segregation of Granular Materials. https://app.cochat.ai/papers/10.1146/annurev.fluid.32.1.55
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Ottino, J. M., & Khakhar, D. V. (2000). Mixing and Segregation of Granular Materials. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev.fluid.32.1.55

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.