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Nanoparticle Stochastic Motion in the Inertial Regime and Hydrodynamic Interactions Close to a Cylindrical Wall

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Journal Phys Rev Fluids
Date 2016 Nov 11
PMID 27830213
Citations 8
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Abstract

We have carried out direct numerical simulations (DNS) of the fluctuating Navier-Stokes equation together with the particle equations governing the motion of a nanosized particle or nanoparticle (NP) in a cylindrical tube. The effects of the confining boundary, its curvature, particle size, and particle density variations have all been investigated. To reveal how the nature of the temporal correlations (hydrodynamic memory) in the inertial regime is altered by the full hydrodynamic interaction due to the confining boundaries, we have employed the Arbitrary Lagrangian-Eulerian (ALE) method to determine the dynamical relaxation of a spherical NP located at various positions in the medium over a wide span of time scales compared to the fluid viscous relaxation time = /, where is the spherical particle radius and is the kinematic viscosity. The results show that, as compared to the behavior of a particle in regions away from the confining boundary, the velocity autocorrelation function (VACF) for a particle in the lubrication layer initially decays exponentially with a Stokes drag enhanced by a factor that is proportional to the ratio of the particle radius to the gap thickness between the particle and the wall. Independent of the particle location, beyond time scales greater than /, the decay is always algebraic followed by a second exponential decay (attributed to the wall curvature) that is associated with a second time scale /, where is the vessel diameter.

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References
1.
Ayyaswamy P, Muzykantov V, Eckmann D, Radhakrishnan R . Nanocarrier Hydrodynamics and Binding in Targeted Drug Delivery: Challenges in Numerical Modeling and Experimental Validation. J Nanotechnol Eng Med. 2013; 4(1):101011-1010115. PMC: 3708709. DOI: 10.1115/1.4024004. View

2.
Felderhof B . Effect of the wall on the velocity autocorrelation function and long-time tail of Brownian motion. J Phys Chem B. 2006; 109(45):21406-12. DOI: 10.1021/jp051335b. View

3.
Uma B, Swaminathan T, Ayyaswamy P, Eckmann D, Radhakrishnan R . Generalized Langevin dynamics of a nanoparticle using a finite element approach: thermostating with correlated noise. J Chem Phys. 2011; 135(11):114104. PMC: 3189970. DOI: 10.1063/1.3635776. View

4.
Frydel D, Rice S . Hydrodynamic description of the long-time tails of the linear and rotational velocity autocorrelation functions of a particle in a confined geometry. Phys Rev E Stat Nonlin Soft Matter Phys. 2008; 76(6 Pt 1):061404. DOI: 10.1103/PhysRevE.76.061404. View

5.
Radhakrishnan R, Uma B, Liu J, Ayyaswamy P, Eckmann D . Temporal Multiscale Approach for Nanocarrier Motion with Simultaneous Adhesion and Hydrodynamic Interactions in Targeted Drug Delivery. J Comput Phys. 2013; 244:252-263. PMC: 3706300. DOI: 10.1016/j.jcp.2012.10.026. View