Literature DB >> 20405981

Steady shear rheometry of dissipative particle dynamics models of polymer fluids in reverse Poiseuille flow.

Dmitry A Fedosov1, George Em Karniadakis, Bruce Caswell.   

Abstract

Polymer fluids are modeled with dissipative particle dynamics (DPD) as undiluted bead-spring chains and their solutions. The models are assessed by investigating their steady shear-rate properties. Non-Newtonian viscosity and normal stress coefficients, for shear rates from the lower to the upper Newtonian regimes, are calculated from both plane Couette and plane Poiseuille flows. The latter is realized as reverse Poiseuille flow (RPF) generated from two Poiseuille flows driven by uniform body forces in opposite directions along two-halves of a computational domain. Periodic boundary conditions ensure the RPF wall velocity to be zero without density fluctuations. In overlapping shear-rate regimes the RPF properties are confirmed to be in good agreement with those calculated from plane Couette flow with Lees-Edwards periodic boundary conditions (LECs), the standard virtual rheometer for steady shear-rate properties. The concentration and the temperature dependence of the properties of the model fluids are shown to satisfy the principles of concentration and temperature superposition commonly employed in the empirical correlation of real polymer-fluid properties. The thermodynamic validity of the equation of state is found to be a crucial factor for the achievement of time-temperature superposition. With these models, RPF is demonstrated to be an accurate and convenient virtual rheometer for the acquisition of steady shear-rate rheological properties. It complements, confirms, and extends the results obtained with the standard LEC configuration, and it can be used with the output from other particle-based methods, including molecular dynamics, Brownian dynamics, smooth particle hydrodynamics, and the lattice Boltzmann method.

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Year:  2010        PMID: 20405981      PMCID: PMC2862052          DOI: 10.1063/1.3366658

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  4 in total

1.  Schmidt number effects in dissipative particle dynamics simulation of polymers.

Authors:  Vasileios Symeonidis; George Em Karniadakis; Bruce Caswell
Journal:  J Chem Phys       Date:  2006-11-14       Impact factor: 3.488

2.  Poiseuille flow to measure the viscosity of particle model fluids.

Authors:  J A Backer; C P Lowe; H C J Hoefsloot; P D Iedema
Journal:  J Chem Phys       Date:  2005-04-15       Impact factor: 3.488

3.  Cross-stream migration of flexible molecules in a nanochannel.

Authors:  Rajesh Khare; Michael D Graham; Juan J de Pablo
Journal:  Phys Rev Lett       Date:  2006-06-08       Impact factor: 9.161

4.  Dissipative particle dynamics simulation of depletion layer and polymer migration in micro- and nanochannels for dilute polymer solutions.

Authors:  Dmitry A Fedosov; George Em Karniadakis; Bruce Caswell
Journal:  J Chem Phys       Date:  2008-04-14       Impact factor: 3.488

  4 in total
  3 in total

1.  Importance of Erythrocyte Deformability for the Alignment of Malaria Parasite upon Invasion.

Authors:  Sebastian Hillringhaus; Anil K Dasanna; Gerhard Gompper; Dmitry A Fedosov
Journal:  Biophys J       Date:  2019-08-29       Impact factor: 4.033

2.  Blood flow in small tubes: quantifying the transition to the non-continuum regime.

Authors:  Huan Lei; Dmitry A Fedosov; Bruce Caswell; George Em Karniadakis
Journal:  J Fluid Mech       Date:  2013-05-01       Impact factor: 3.627

3.  Stochastic bond dynamics facilitates alignment of malaria parasite at erythrocyte membrane upon invasion.

Authors:  Sebastian Hillringhaus; Anil K Dasanna; Gerhard Gompper; Dmitry A Fedosov
Journal:  Elife       Date:  2020-05-18       Impact factor: 8.140

  3 in total

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