2018
DOI: 10.3934/krm.2018057
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Modeling of macroscopic stresses in a dilute suspension of small weakly inertial particles

Abstract: In this paper we derive asymptotically the macroscopic bulk stress of a suspension of small inertial particles in an incompressible Newtonian fluid. We apply the general asymptotic framework to the special case of ellipsoidal particles and show the resulting modification due to inertia on the well-known particle-stresses based on the theory by Batchelor and Jeffery.

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Cited by 4 publications
(8 citation statements)
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“…This coupling between translation/rotation velocities and force/torque is typical of the case of rigid bodies with shape anisotropies. It is usually called the Jeffery effect, see [20,23,43].…”
Section: Limit Dynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…This coupling between translation/rotation velocities and force/torque is typical of the case of rigid bodies with shape anisotropies. It is usually called the Jeffery effect, see [20,23,43].…”
Section: Limit Dynamicsmentioning
confidence: 99%
“…Let v a divergence-free vector field in W 1,8 p 1ďiďN S i q. We define µ Ci rvs as the vector measure, supported on C i , defined by (43) µ Ci rvs, φ :" I Ci rv, φs, for any φ P C c pR 3 ; R 3 q.…”
Section: Limit Dynamicsmentioning
confidence: 99%
“…In [7] we derived a macroscopic model for the behavior of a dilute particle suspension, which accounts for small inertial particle effects. The model is based on the asymptotic approach for a single inertia-free particle by Junk and Illner [5], where the suspended bodies are characterized by the size ratio 1.…”
Section: Mean Field Modelmentioning
confidence: 99%
“…It also adresses small hydrodynamic interaction via the terms associated to U, H. An important observation is that the latter appear in (1a) of order O( 3/2 ) compared to the one of the particle extra stress tensor Σ that is of O( 5/2 ). This indicates that their omission in [7] due to the ergodicity assumption neglects a major contribution to the overall dynamics in the non-homogeneous case.…”
Section: Mean Field Modelmentioning
confidence: 99%
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