The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
CFD-DEM modelling and simulation of pneumatic conveying: A review
Abstract
Abstract Pneumatic conveying is an important operation used in many industries for the transportation of granular materials from one place to another. In recent years, many efforts have been made to study this transport process by means of the numerical approach of combing discrete element method (DEM) for particles and computational fluid dynamics (CFD) for gas. Such studies have been focused on understanding and predicting the gas-solid flow characteristics and process performance over a broad range of conditions, aiming to achieve optimal system design and control. This paper reviews the progress in this area, covering the formulation, validation and application of the mathematical models proposed. The emphasis is given to the modelling of key phenomena such as flow regimes and transition, pipe wear, particle attrition, and electrostatics. The needs for future research are also discussed.
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Cites
A discrete numerical model for granular assemblies
Cundall, P. A., & Strack, O. D. L. (1979) · Géotechnique · doi:10.1680/geot.1979.29.1.47 · Cited by 17,527
Fluid Flow Through Packed Columns
Ergün, Ş. (1952) · Medical Entomology and Zoology · Cited by 6,992
Computational Methods for Fluid Dynamics
Ferziger, J. H., Peric, M., & Leonard, A. (1997) · Physics Today · doi:10.1063/1.881751 · Cited by 6,005
A bonded-particle model for rock
Potyondy, D. O., & Cundall, P. A. (2004) · International Journal of Rock Mechanics and Mining Sciences · doi:10.1016/j.ijrmms.2004.09.011 · Cited by 5,034
The lift on a small sphere in a slow shear flow
Saffman, P. G. (1965) · Journal of Fluid Mechanics · doi:10.1017/s0022112065000824 · Cited by 3,426
Multiphase Flows with Droplets and Particles
Crowe, C. T., Schwarzkopf, J. D., Sommerfeld, M., & Tsuji, Y. (2011) · doi:10.1201/b11103 · Cited by 3,076
Discrete particle simulation of two-dimensional fluidized bed
Tsuji, Y., Kawaguchi, T., & Tanaka, T. (1993) · Powder Technology · doi:10.1016/0032-5910(93)85010-7 · Cited by 2,462
Wen, C. Y. (1966) · Medical Entomology and Zoology · Cited by 2,381
Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe
Tsuji, Y., Tanaka, T., & Ishida, T. (1992) · Powder Technology · doi:10.1016/0032-5910(92)88030-l · Cited by 2,147
Discrete particle simulation of particulate systems: Theoretical developments
Zhu, H. P., Zhou, Z. Y., Yang, R. Y., & Yu, A. B. (2007) · Chemical Engineering Science · doi:10.1016/j.ces.2006.12.089 · Cited by 2,055
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Cited by
Progress in CFD Simulations of Fluidized Beds for Chemical and Energy Process Engineering
Alobaid, F., Almohammed, N., Massoudi Farid, M., May, J., Rößger, P., Richter, A., & Epple, B. (2022) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2021.100930 · Cited by 266
Metadata
- Authors
- Kuang, S., Zhou, M., & Yu, A.
- Venue
- Powder Technology
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 365
- Pages
- 186-207
- ISSN
- 0032-5910 (ISSN-L)
- OpenAlex
- W2913774034
- Cited by
- 331
- References
- 48
- FWCI
- 19.99
- Type
- journal article
- Language
- en
- Open access
- closed
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