Computational studies of granular mixing

Joseph J. McCarthy; Devang V. Khakhar; Julio M. Ottino

doi:10.1016/S0032-5910(99)00228-4

Computational studies of granular mixing

Joseph J. McCarthy^*, Devang V. Khakhar, Julio M. Ottino

^*Corresponding author for this work

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107 Scopus citations

Abstract

Particulate systems have proven difficult to probe experimentally in many instances. Simulations of granular flows, and mixing flows in particular, provide a useful means of studying particulate behavior. Mixing flows generate large scale patterns and structures which can be easily visualized. Thus, mixing studies provide a means of indirectly examining granular flows. In this paper we review recent computational studies of tumbler mixing, focusing on two very different, yet complementary, techniques: Particle Dynamics and Lagrangian Simulation. We discuss mixing in different tumbler geometries, as well as segregation and cohesive effects. (C) 2000 Elsevier Science S.A.

Original language	English (US)
Pages (from-to)	72-82
Number of pages	11
Journal	Powder Technology
Volume	109
Issue number	1-3
DOIs	https://doi.org/10.1016/S0032-5910(99)00228-4
State	Published - Apr 3 2000

Keywords

Granular mixing
Lagrangian Simulation
Particle Dynamics

ASJC Scopus subject areas

Chemical Engineering(all)

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10.1016/S0032-5910(99)00228-4

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title = "Computational studies of granular mixing",

abstract = "Particulate systems have proven difficult to probe experimentally in many instances. Simulations of granular flows, and mixing flows in particular, provide a useful means of studying particulate behavior. Mixing flows generate large scale patterns and structures which can be easily visualized. Thus, mixing studies provide a means of indirectly examining granular flows. In this paper we review recent computational studies of tumbler mixing, focusing on two very different, yet complementary, techniques: Particle Dynamics and Lagrangian Simulation. We discuss mixing in different tumbler geometries, as well as segregation and cohesive effects. (C) 2000 Elsevier Science S.A.",

keywords = "Granular mixing, Lagrangian Simulation, Particle Dynamics",

author = "McCarthy, {Joseph J.} and Khakhar, {Devang V.} and Ottino, {Julio M.}",

note = "Funding Information: The authors would both like to acknowledge the Support of the Petroleum Research Fund as administered by the American Chemical Society. ",

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doi = "10.1016/S0032-5910(99)00228-4",

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T1 - Computational studies of granular mixing

AU - McCarthy, Joseph J.

AU - Khakhar, Devang V.

AU - Ottino, Julio M.

N1 - Funding Information: The authors would both like to acknowledge the Support of the Petroleum Research Fund as administered by the American Chemical Society.

PY - 2000/4/3

Y1 - 2000/4/3

N2 - Particulate systems have proven difficult to probe experimentally in many instances. Simulations of granular flows, and mixing flows in particular, provide a useful means of studying particulate behavior. Mixing flows generate large scale patterns and structures which can be easily visualized. Thus, mixing studies provide a means of indirectly examining granular flows. In this paper we review recent computational studies of tumbler mixing, focusing on two very different, yet complementary, techniques: Particle Dynamics and Lagrangian Simulation. We discuss mixing in different tumbler geometries, as well as segregation and cohesive effects. (C) 2000 Elsevier Science S.A.

AB - Particulate systems have proven difficult to probe experimentally in many instances. Simulations of granular flows, and mixing flows in particular, provide a useful means of studying particulate behavior. Mixing flows generate large scale patterns and structures which can be easily visualized. Thus, mixing studies provide a means of indirectly examining granular flows. In this paper we review recent computational studies of tumbler mixing, focusing on two very different, yet complementary, techniques: Particle Dynamics and Lagrangian Simulation. We discuss mixing in different tumbler geometries, as well as segregation and cohesive effects. (C) 2000 Elsevier Science S.A.

KW - Granular mixing

KW - Lagrangian Simulation

KW - Particle Dynamics

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JO - Powder Technology

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ER -

Computational studies of granular mixing

Abstract

Keywords

ASJC Scopus subject areas

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