Collision of multi-particle and general shape objects in a viscous fluid

Ardekani, Arezoo M.; Dabiri, Sadegh; Rangel, R. H.

doi:10.1016/j.jcp.2008.08.014

Cited by 54 publications

(31 citation statements)

References 26 publications

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“…However, the relaxation time still can slightly affect the simulated trajectory of the particle after collision. Since the effects of surface roughness (Ardekani, Dabiri, & Rangel, 2008;Li et al, 2012) were not considered in our simulations, the agreement between the simulated and experimental results can be regarded very good, indicating that the present boundary treatment method is capable of modeling collision processes. We remark that reasonable results can be obtained even for Ma as large as 0.17, which is higher than the upper limit suggested by He and Luo (1997b).…”

Section: Rebound Of a Spherical Particle In A Viscous Fluidmentioning

confidence: 90%

An extrapolation-based boundary treatment for using the lattice Boltzmann method to simulate fluid-particle interaction near a wall

Lee

Huang

Chiew

2015

Engineering Applications of Computational Fluid Mechanics

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Two important issues need to be addressed when using lattice Boltzmann methods to simulate particulate flows: complex moving boundaries and near contact of two solid objects. This study introduces a new boundary treatment method for using lattice Boltzmann methods to study fluid-particle interaction problems in which solid objects are close to a wall or two solid objects are near contact. The new method does not need to use any additional lubrication correction to total hydrodynamic force, instead implementing the no-slip boundary condition by introducing an appropriate fictitious flow field outside the fluid domain. The new method was verified by simulating a spherical particle falling down in fluids with and without rebound. It is concluded that the proposed boundary treatment method can accurately simulate the fluid-particle interaction near a rigid wall and collision in fluid.

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Section: Rebound Of a Spherical Particle In A Viscous Fluidmentioning

confidence: 90%

An extrapolation-based boundary treatment for using the lattice Boltzmann method to simulate fluid-particle interaction near a wall

Lee

Huang

Chiew

2015

Engineering Applications of Computational Fluid Mechanics

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“…In this study, we set ρ p = ρ f since the density of organisms is usually close to the background fluid. The swimmer is resolved by adding a forcing term inside the swimmer body using a distributed Lagrangian multiplier method [30], which is calculated by iteration as…”

Section: Governing Equations and Numerical Methodsmentioning

confidence: 99%

Hydrodynamic interaction of swimming organisms in an inertial regime

Ostace

Ardekani

2016

Phys. Rev. E

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We numerically investigate the hydrodynamic interaction of swimming organisms at small to intermediate Reynolds number regimes, i.e. Re ∼O(0.1-100), where inertial effects are important. The hydrodynamic interaction of swimming organisms in this regime is significantly different from the Stokes regime for microorganisms, as well as the high Reynolds number flows for fish and birds, which involves strong flow separation and detached vortex structures. Using an archetypal swimmer model, called "squirmer", we find that the inertial effects change the contact time and dispersion dynamics of a pair of pusher swimmers, and trigger hydrodynamic attraction for two pullers. These results are potentially important in investigating predator-prey interactions, sexual reproduction, encounter rate of marine organisms such as copepods, ctenophora, and larvae.

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“…The appropriate values for α will be problem dependent; in this work the typical values ranged from 0.5 − 0.8. A similar approach for force correction in the context of rigid body motion was presented earlier [20]. u′ is given by…”

Section: The Fiispa Algorithmmentioning

confidence: 98%

“…The approach can also be less efficient for low Reynolds number problems where the inertia term in the governing equation is negligible. In such cases an implicit iterative algorithm is required or preferred [19,20]. This is similar to the how iterative solvers such as SIMPLER [21] are used to obtain steady state or Stokes flow solutions in fluid dynamics instead of using Chorin-type [22] fractional time stepping schemes.…”

Section: Introductionmentioning

confidence: 99%