The DOI matches its Crossref record.
Kinetic theories for granular flow: inelastic particles in Couette flow and slightly inelastic particles in a general flowfield
Abstract
The flow of an idealized granular material consisting of uniform smooth, but nelastic, spherical particles is studied using statistical methods analogous to those used in the kinetic theory of gases. Two theories are developed: one for the Couette flow of particles having arbitrary coefficients of restitution (inelastic particles) and a second for the general flow of particles with coefficients of restitution near 1 (slightly inelastic particles). The study of inelastic particles in Couette flow follows the method of Savage & Jeffrey (1981) and uses an ad hoc distribution function to describe the collisions between particles. The results of this first analysis are compared with other theories of granular flow, with the Chapman-Enskog dense-gas theory, and with experiments. The theory agrees moderately well with experimental data and it is found that the asymptotic analysis of Jenkins & Savage (1983), which was developed for slightly inelastic particles, surprisingly gives results similar to the first theory even for highly inelastic particles. Therefore the ‘nearly elastic’ approximation is pursued as a second theory using an approach that is closer to the established methods of Chapman-Enskog gas theory. The new approach which determines the collisional distribution functions by a rational approximation scheme, is applicable to general flowfields, not just simple shear. It incorporates kinetic as well as collisional contributions to the constitutive equations for stress and energy flux and is thus appropriate for dilute as well as dense concentrations of solids. When the collisional contributions are dominant, it predicts stresses similar to the first analysis for the simple shear case.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Iverson, R. M. (1997) · Reviews of Geophysics · doi:10.1029/97rg00426 · Cited by 3,092
Campbell, C. S. (1990) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fl.22.010190.000421 · Cited by 1,122
Biomass pyrolysis-a review of modelling, process parameters and catalytic studies
Sharma, A., Pareek, V., & Zhang, D. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.04.193 · Cited by 675
Numerical Simulation of Dense Gas-Solid Fluidized Beds: A Multiscale Modeling Strategy
van der Hoef, M. A., van Sint Annaland, M., Deen, N. G., & Kuipers, J. A. M. (2008) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.40.111406.102130 · Cited by 632
Modeling and simulation in tribology across scales: An overview
Vakis, A. I., Yastrebov, V. A., Scheibert, J., Nicola, L., Dini, D., Minfray, C., Almqvist, A., Paggi, M., Lee, S., Limbert, G., et al. (2018) · Tribology International · doi:10.1016/j.triboint.2018.02.005 · Cited by 580
Metadata
- Authors
- Lun, C. K. K., Savage, S. B., Jeffrey, D. J., & Chepurniy, N.
- Venue
- Journal of Fluid Mechanics
- Publisher
- Cambridge University Press (CUP)
- Published
- 1984-03
- Volume
- 140
- Pages
- 223-256
- ISSN
- 0022-1120 (ISSN-L)
- 1469-7645
- OpenAlex
- W1978893684
- Cited by
- 3,067
- References
- 0
- FWCI
- 16.22
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Kinetic theories for granular flow: inelastic particles in Couette flow and slightly inelastic particles in a general flowfield. https://app.cochat.ai/papers/10.1017/s0022112084000586
- The paper
- Lun, C. K. K., Savage, S. B., Jeffrey, D. J., & Chepurniy, N. (1984). Kinetic theories for granular flow: inelastic particles in Couette flow and slightly inelastic particles in a general flowfield. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112084000586
Data sources
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.