Literature DB >> 27830213

Nanoparticle stochastic motion in the inertial regime and hydrodynamic interactions close to a cylindrical wall.

Helena Vitoshkin1, Hsiu-Yu Yu2, David M Eckmann3, Portonovo S Ayyaswamy1, Ravi Radhakrishnan4.   

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 τv = a2/v, where a is the spherical particle radius and v 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 a2/v, the decay is always algebraic followed by a second exponential decay (attributed to the wall curvature) that is associated with a second time scale D2/v, where D is the vessel diameter.

Entities:  

Keywords:  cylindrical vessel; hydrodynamic interaction; nanoparticle motion; wall effect

Year:  2016        PMID: 27830213      PMCID: PMC5098402          DOI: 10.1103/PhysRevFluids.1.054104

Source DB:  PubMed          Journal:  Phys Rev Fluids            Impact factor:   2.537


  10 in total

1.  Generalized Langevin dynamics of a nanoparticle using a finite element approach: thermostating with correlated noise.

Authors:  B Uma; T N Swaminathan; P S Ayyaswamy; D M Eckmann; R Radhakrishnan
Journal:  J Chem Phys       Date:  2011-09-21       Impact factor: 3.488

2.  Effect of the wall on the velocity autocorrelation function and long-time tail of Brownian motion.

Authors:  B U Felderhof
Journal:  J Phys Chem B       Date:  2005-11-17       Impact factor: 2.991

3.  Hydrodynamic description of the long-time tails of the linear and rotational velocity autocorrelation functions of a particle in a confined geometry.

Authors:  Derek Frydel; Stuart A Rice
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-12-28

4.  Persistent correlation of constrained colloidal motion.

Authors:  Thomas Franosch; Sylvia Jeney
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-03-05

Review 5.  Nanocarrier Hydrodynamics and Binding in Targeted Drug Delivery: Challenges in Numerical Modeling and Experimental Validation.

Authors:  Portonovo S Ayyaswamy; Vladimir Muzykantov; David M Eckmann; Ravi Radhakrishnan
Journal:  J Nanotechnol Eng Med       Date:  2013-07-11

6.  Nanoparticle Brownian motion and hydrodynamic interactions in the presence of flow fields.

Authors:  B Uma; T N Swaminathan; R Radhakrishnan; D M Eckmann; P S Ayyaswamy
Journal:  Phys Fluids (1994)       Date:  2011-07-26       Impact factor: 3.521

7.  Composite generalized Langevin equation for Brownian motion in different hydrodynamic and adhesion regimes.

Authors:  Hsiu-Yu Yu; David M Eckmann; Portonovo S Ayyaswamy; Ravi Radhakrishnan
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-05-12

8.  Velocity relaxation of a particle in a confined compressible fluid.

Authors:  Rei Tatsumi; Ryoichi Yamamoto
Journal:  J Chem Phys       Date:  2013-05-14       Impact factor: 3.488

9.  Temporal Multiscale Approach for Nanocarrier Motion with Simultaneous Adhesion and Hydrodynamic Interactions in Targeted Drug Delivery.

Authors:  R Radhakrishnan; B Uma; J Liu; P S Ayyaswamy; D M Eckmann
Journal:  J Comput Phys       Date:  2013-07-01       Impact factor: 3.553

10.  A hybrid formalism combining fluctuating hydrodynamics and generalized Langevin dynamics for the simulation of nanoparticle thermal motion in an incompressible fluid medium.

Authors:  B Uma; D M Eckmann; P S Ayyaswamy; R Radhakrishnan
Journal:  Mol Phys       Date:  2012-02-08       Impact factor: 1.962

  10 in total
  7 in total

1.  Effect of wall-mediated hydrodynamic fluctuations on the kinetics of a Brownian nanoparticle.

Authors:  Hsiu-Yu Yu; David M Eckmann; Portonovo S Ayyaswamy; Ravi Radhakrishnan
Journal:  Proc Math Phys Eng Sci       Date:  2016-12       Impact factor: 2.704

2.  Computational Models for Nanoscale Fluid Dynamics and Transport Inspired by Nonequilibrium Thermodynamics.

Authors:  Ravi Radhakrishnan; Hsiu-Yu Yu; David M Eckmann; Portonovo S Ayyaswamy
Journal:  J Heat Transfer       Date:  2016-11-22       Impact factor: 2.021

3.  Nanoparticle transport phenomena in confined flows.

Authors:  Ravi Radhakrishnan; Samaneh Farokhirad; David M Eckmann; Portonovo S Ayyaswamy
Journal:  Adv Heat Transf       Date:  2019-10-04

4.  Microstructure of Flow-Driven Suspension of Hardspheres in Cylindrical Confinement: A Dynamical Density Functional Theory and Monte Carlo Study.

Authors:  Hsiu-Yu Yu; Zahera Jabeen; David M Eckmann; Portonovo S Ayyaswamy; Ravi Radhakrishnan
Journal:  Langmuir       Date:  2017-09-01       Impact factor: 3.882

5.  Motion of a nano-spheroid in a cylindrical vessel flow: Brownian and hydrodynamic interactions.

Authors:  N Ramakrishnan; Y Wang; D M Eckmann; P S Ayyaswamy; R Radhakrishnan
Journal:  J Fluid Mech       Date:  2017-05-18       Impact factor: 3.627

6.  A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects.

Authors:  Ravi Radhakrishnan
Journal:  AIChE J       Date:  2020-09-18       Impact factor: 3.993

7.  Adhesive rolling of nanoparticles in a lateral flow inspired from diagnostics of COVID-19.

Authors:  Huilin Ye; Zhiqiang Shen; Ying Li
Journal:  Extreme Mech Lett       Date:  2021-02-22
  7 in total

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