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Motion of a Nano-spheroid in a Cylindrical Vessel Flow: Brownian and Hydrodynamic Interactions

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Journal J Fluid Mech
Date 2017 Nov 8
PMID 29109590
Citations 6
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Abstract

We study the motion of a buoyant or a nearly neutrally buoyant nano-sized spheroid in a fluid filled tube without or with an imposed pressure gradient (weak Poiseuille flow). The fluctuating hydrodynamics approach and the deterministic method are both employed. We ensure that the fluctuation-dissipation relation and the principle of thermal equipartition of energy are both satisfied. The major focus is on the effect of the confining boundary. Results for the velocity and the angular velocity autocorrelations (VACF and AVACF), the diffusivities and the drag and the lift forces as functions of the shape, the aspect ratio, the inclination angle and the proximity to the wall are presented. For the parameters considered, the boundary modifies the VACF and AVACF such that three distinct regimes are discernible - an initial exponential decay followed by an algebraic decay culminating in a second exponential decay. The first is due to the thermal noise, the algebraic regime is due both to the thermal noise and the hydrodynamic correlations, while the second exponential decay shows the effect of momentum reflection from the confining wall. Our predictions display excellent comparison with published results for the algebraic regime (the only regime for which earlier results exist). We also discuss the role of the off-diagonal elements of the mobility and the diffusivity tensors that enable the quantifications of the degree of lift and margination of the nanocarrier. Our study covers a range of parameters that are of wide applicability in nanotechnology, microrheology and in targeted drug delivery.

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References
1.
Ladd . Short-time motion of colloidal particles: Numerical simulation via a fluctuating lattice-Boltzmann equation. Phys Rev Lett. 1993; 70(9):1339-1342. DOI: 10.1103/PhysRevLett.70.1339. View

2.
Shah S, Liu Y, Hu W, Gao J . Modeling particle shape-dependent dynamics in nanomedicine. J Nanosci Nanotechnol. 2011; 11(2):919-28. PMC: 3050532. DOI: 10.1166/jnn.2011.3536. View

3.
Janjua M, Nudurupati S, Singh P, Aubry N . Electric field-induced self-assembly of micro- and nanoparticles of various shapes at two-fluid interfaces. Electrophoresis. 2011; 32(5):518-26. DOI: 10.1002/elps.201000523. View

4.
Radhakrishnan R, Yu H, Eckmann D, Ayyaswamy P . Computational Models for Nanoscale Fluid Dynamics and Transport Inspired by Nonequilibrium Thermodynamics. J Heat Transfer. 2016; 139(3):0330011-330019. PMC: 5125320. DOI: 10.1115/1.4035006. View

5.
Cicuta P, Donald A . Microrheology: a review of the method and applications. Soft Matter. 2020; 3(12):1449-1455. DOI: 10.1039/b706004c. View