The DOI matches its Crossref record.
Motion of a tank-treading ellipsoidal particle in a shear flow
Abstract
A theoretical model is developed for the motion of a human red blood cell in a shear field. The model consists of a tank-treading ellipsoidal membrane encapsulating an incompressible Newtonian liquid immersed in a plane shear flow of another incom- pressible Newtonian liquid. Equilibrium and energy considerations lead to a solution for the motion of the particle that depends on the ellipsoidal-axis ratios and the ratio of the inner- to outer-liquid viscosities. The effect of variation in these parameters is explored and it is shown that, depending on their values, one of two types of overall motion is exhibited: a steady stationary-orientation motion or an unsteady flipping motion. A qualitative agreement of the predicted behaviour of the model with experi- mental observations on red blood cells is found.
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
(2009) · JuSER (Forschungszentrum Jülich) · Cited by 465
Hydrodynamic mechanisms of cell and particle trapping in microfluidics
Karimi, A., Yazdi, S., & Ardekani, A. M. (2013) · Biomicrofluidics · doi:10.1063/1.4799787 · Cited by 384
Krüger, T., Varnik, F., & Raabe, D. (2011) · Computers & Mathematics with Applications · doi:10.1016/j.camwa.2010.03.057 · Cited by 321
Tuned, driven, and active soft matter
Menzel, A. M. (2015) · Physics Reports · doi:10.1016/j.physrep.2014.10.001 · Cited by 295
Multiscale modeling of blood flow: from single cells to blood rheology
Fedosov, D. A., Noguchi, H., & Gompper, G. (2014) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-013-0497-9 · Cited by 277
Metadata
- Authors
- Keller, S. R., & Skalak, R.
- Venue
- Journal of Fluid Mechanics
- Publisher
- Cambridge University Press (CUP)
- Published
- 1982-07
- Volume
- 120
- Pages
- 27-47
- ISSN
- 0022-1120 (ISSN-L)
- 1469-7645
- OpenAlex
- W1979053751
- Cited by
- 460
- References
- 0
- FWCI
- 3.04
- 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: Motion of a tank-treading ellipsoidal particle in a shear flow. https://app.cochat.ai/papers/10.1017/s0022112082002651
- The paper
- Keller, S. R., & Skalak, R. (1982). Motion of a tank-treading ellipsoidal particle in a shear flow. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112082002651
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.