Abstract:We examine the accuracy of dissipative particle dynamics (DPD) simulations of polymers in dilute solutions with hydrodynamic interaction (HI), at the theta point, modeled by setting the DPD conservative interaction between beads to zero. We compare the first normal-mode relaxation time extracted from the DPD simulations with theoretical predictions from a normal-mode analysis for theta chains. We characterize the influence of bead inertia within the coil by a ratio Lm/Rg, where Lm is the ballistic distance ove… Show more
“…(2) for conservative force will increase the second term as well (virial part). Increase in shear viscosity by increasing the maximum repulsion parameter has been also observed in the literature [19]. These two effects together will increase the viscosity of a DPD system as a function of temperature, which is in contradiction with the standard temperature dependence of the shear viscosity.…”
Section: Zero Shear Viscositymentioning
confidence: 72%
“…Polymer melts and solutions, as well as multiphase systems have also been studied with special emphasis on their rheological behavior using DPD [9,16,17]. However, one can conclude from a careful review of the prior publications that, even for the simplest system (water, first studied by Groot and Warren [2]), values reported for the viscosity vary from one report to another, depending on the type of flow and method used for calculation of viscosity, boundary conditions and the choice of force parameters [17][18][19][20]. In particular, different viscosity values from Green-Kubo [21] expression for stress autocorrelation function (zero-shear viscosity), stress tensor for steady shear simulations, Poiseuille flow and transient startup shear flow have been reported.…”
a b s t r a c tIn this study two main groups of viscosity measurement techniques are used to measure the viscosity of a simple fluid using Dissipative Particle Dynamics, DPD. In the first method, a microscopic definition of the pressure tensor is used in equilibrium and out of equilibrium to measure the zero-shear viscosity and shear viscosity, respectively. In the second method, a periodic Poiseuille flow and start-up transient shear flow is used and the shear viscosity is obtained from the velocity profiles by a numerical fitting procedure. Using the standard Lees-Edward boundary condition for DPD will result in incorrect velocity profiles at high values of the dissipative parameter. Although this issue was partially addressed in Chatterjee (2007), in this work we present further modifications (Lagrangian approach) to the original LE boundary condition (Eulerian approach) that will fix the deviation from the desired shear rate at high values of the dissipative parameter and decrease the noise to signal ratios in stress measurement while increases the accessible low shear rate window. Also, the thermostat effect of the dissipative and random forces is coupled to the dynamic response of the system and affects the transport properties like the viscosity and diffusion coefficient. We investigated thoroughly the dependency of viscosity measured by both Eulerian and Lagrangian methodologies, as well as numerical fitting procedures and found that all the methods are in quantitative agreement.
“…(2) for conservative force will increase the second term as well (virial part). Increase in shear viscosity by increasing the maximum repulsion parameter has been also observed in the literature [19]. These two effects together will increase the viscosity of a DPD system as a function of temperature, which is in contradiction with the standard temperature dependence of the shear viscosity.…”
Section: Zero Shear Viscositymentioning
confidence: 72%
“…Polymer melts and solutions, as well as multiphase systems have also been studied with special emphasis on their rheological behavior using DPD [9,16,17]. However, one can conclude from a careful review of the prior publications that, even for the simplest system (water, first studied by Groot and Warren [2]), values reported for the viscosity vary from one report to another, depending on the type of flow and method used for calculation of viscosity, boundary conditions and the choice of force parameters [17][18][19][20]. In particular, different viscosity values from Green-Kubo [21] expression for stress autocorrelation function (zero-shear viscosity), stress tensor for steady shear simulations, Poiseuille flow and transient startup shear flow have been reported.…”
a b s t r a c tIn this study two main groups of viscosity measurement techniques are used to measure the viscosity of a simple fluid using Dissipative Particle Dynamics, DPD. In the first method, a microscopic definition of the pressure tensor is used in equilibrium and out of equilibrium to measure the zero-shear viscosity and shear viscosity, respectively. In the second method, a periodic Poiseuille flow and start-up transient shear flow is used and the shear viscosity is obtained from the velocity profiles by a numerical fitting procedure. Using the standard Lees-Edward boundary condition for DPD will result in incorrect velocity profiles at high values of the dissipative parameter. Although this issue was partially addressed in Chatterjee (2007), in this work we present further modifications (Lagrangian approach) to the original LE boundary condition (Eulerian approach) that will fix the deviation from the desired shear rate at high values of the dissipative parameter and decrease the noise to signal ratios in stress measurement while increases the accessible low shear rate window. Also, the thermostat effect of the dissipative and random forces is coupled to the dynamic response of the system and affects the transport properties like the viscosity and diffusion coefficient. We investigated thoroughly the dependency of viscosity measured by both Eulerian and Lagrangian methodologies, as well as numerical fitting procedures and found that all the methods are in quantitative agreement.
“…To span this wide range of length or time scales, we perform dissipative particle dynamics (DPD) [23] simulations on model TEVP fluids consisting of 10 vol % attractive hexagonal solid particles designed to represent the waxy crystalline particles observed in a waxy crude oil [3,24]. The DPD formalism inherently preserves multibody hydrodynamics by conservation of mass and momentum both locally and globally [25,26]. Furthermore, by incorporating relevant interaction potentials for PRL 118, 048003 (2017) P H Y S I C A L…”
We identify the sequence of microstructural changes that characterize the evolution of an attractive particulate gel under flow and discuss their implications on macroscopic rheology. Dissipative particle dynamics is used to monitor shear-driven evolution of a fabric tensor constructed from the ensemble spatial configuration of individual attractive constituents within the gel. By decomposing this tensor into isotropic and nonisotropic components we show that the average coordination number correlates directly with the flow curve of the shear stress versus shear rate, consistent with theoretical predictions for attractive systems. We show that the evolution in nonisotropic local particle rearrangements are primarily responsible for stress overshoots (strain-hardening) at the inception of steady shear flow and also lead, at larger times and longer scales, to microstructural localization phenomena such as shear banding flow-induced structure formation in the vorticity direction. DOI: 10.1103/PhysRevLett.118.048003 Thixotropic elastoviscoplastic (TEVP) materials are a broad class of structured fluids that include (but are not limited to) most colloidal gels [1], nano emulsions [2], crude oils [3,4], and many biological systems such as blood clots and actin networks [5,6]. As a result of their complex underlying microstructure, TEVPs exhibit a wide range of rich and complex thermo-mechanical properties: Below a critical stress, the microstructural network formed by individual particles remains intact and resists large deformations by external forces. At this stage the macroscopic response of the material is similar to that of a viscoelastic solid. By progressively increasing the applied load, the material reaches its "yield stress" and starts to flow [7]. At this point the particle network that is responsible for solidlike response of the macroscopic sample undergoes plastic rearrangements over an increasingly wide range of length scales [8]. Upon complete yielding of this network, plastic flow results ultimately in a viscouslike response; however, as a result of constant formation and breakage events, the particle-level microstructure continues to evolve giving rise to thixotropic behavior. The many-body nature of the problem means that local forces exerted on a single particle change its energy landscape, which consequently defines its subsequent association or dissociation rate to neighboring particles [9,10]. When combined with multibody hydrodynamic effects in these fluids [11], the resulting microstructure-flow relationship becomes complex and may show long time scale transient behavior and multiple steady states [1,12]. This leads to a wide range of timedependent responses that can also be observed, including microphase separation [13], vorticity aligned structure formation [14][15][16], local rigid plug formation and shear banding [17], plus shear-induced rejuvenation of the particle network [18].Although the general form of the flow curve (relating the shear stress to shear rate) and some transient pheno...
“…It must be pointed out that both the polymer particles and solvent particles are explicitly modeled in the DPD model, and consequently, the DPD model naturally incorporates hydrodynamic interactions between polymer beads. The motion of a DPD particle in a chain causes a point force on the surrounding solvent particles affecting the motion of the adjacent polymer particle, that is, inducing hydrodynamic interactions between polymer particles …”
Section: Resultsmentioning
confidence: 99%
“…The DPD particles represent clusters of molecules moving off‐lattice, and the interaction between the particles is symmetrical to ensure momentum conservation. Since polymer chains and solvents are explicitly modeled using DPD particles, the DPD model of polymer solution naturally incorporates hydrodynamic interactions and exclude–volume interactions . This makes DPD method reasonable and popular for studying the dynamics of polymer solutions and other polymer systems .…”
The Poiseuille flows of polymer solutions for varying quality solvents in microchannels have been simulated using dissipative particle dynamics. In particular, the velocity distributions and the polymer migration across the channel have been investigated for good, athermal, and poor solvents. The velocity profiles for all three kinds of solvent deviate from the parabolic profile, and the velocity profile of the athermal solvent falls in between the good solvent and the poor solvent. For the athermal solvent, a migration away from the wall due to the hydrodynamic interactions between the chains and the wall is observed, and a migration away from the channel center due to the different chain Brownian diffusivities is also observed. For the good solvent, because of the more stretched polymer chains, the migration away from the wall is stronger than that for the athermal solvent. However, the migration away from the channel center is not observed for good solvents. For the poor solvent, the hydrodynamic interaction within the chains is screened, and the polymer chains migrate toward the wall and appear to be absorbed by the wall.
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