Predictions of polymer migration in a dilute solution between rotating eccentric cylinders

Xiang, Junting; Hajizadeh, Elnaz; Larson, Ronald G.; Nelson, Damian

doi:10.1122/8.0000330

Cited by 4 publications

(4 citation statements)

References 41 publications

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“…In our simulations, we also find migration toward the symmetry axis of the streamlines due to curvature as in [28]. However, we find the depletion at the wake of the cylinder correlates with the viscoelastic Ma and not the Wi if systems with different chain lengths (and polymer relaxation times) are studied.…”

Section: Polymer Migrationsupporting

confidence: 53%

“…The significant depletion at the wake of the cylinder agrees with description and characteristics of SCI due to the curvature of streamlines in that region. The modeling for SCI (also known as stress-gradient-induced) polymer migration in confined dilute solutions using continuum theory has been recently applied to Taylor-Couette flow [27] and flow between rotating eccentric cylinders [28]. These studies were limited to Wi≤ 1.6 but already found migration towards the inner cylinder with near zero concentration at the outer cylinder wall.…”

Section: Polymer Migrationmentioning

confidence: 99%

“…All mechanisms can be relevant in confined geometries (i.e., when R g and geometry size are comparable). SCI has been shown to govern polymer migration towards the center of curvature in Taylor-vortex flow [26], Taylor-Couette flow [27], and eccentric Taylor-Couette flow [28]. In all these studies SCI is the most relevant mechanism once moderate Wi numbers are reached.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mesoscopic simulations of inertial drag enhancement and polymer migration in viscoelastic solutions flowing around a confined array of cylinders

Simavilla

Ellero

2022

Journal of Non-Newtonian Fluid Mechanics

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Section: Polymer Migrationsupporting

confidence: 53%

Section: Polymer Migrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mesoscopic simulations of inertial drag enhancement and polymer migration in viscoelastic solutions flowing around a confined array of cylinders

Simavilla

Ellero

2022

Journal of Non-Newtonian Fluid Mechanics

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“…where D is the mutual diffusion coefficient of the mixture, constant for a dilute solution. This equation implies that the polymer mass transport is solely due to molecular diffusion, and thus rules out any other mechanism, such as stress gradient-induced polymer migration, see for instance 38,39 . This hypothesis is very likely because there is no flow in the microfluidic channel closed by valve V 1 , and because it is unlikely that significant mechanical stresses were stored during the filling step described in Fig.…”

Section: A Molecular Solutions: Fluorescein and Dextransmentioning

confidence: 99%

Microfluidic free interface diffusion: Measurement of diffusion coefficients and evidence of interfacial-driven transport phenomena

2022

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We have developed a microfluidic tool to measure the diffusion coefficient $D$ of solutes in an aqueous solution, by following the temporal relaxation of an initially steep concentration gradient in a microchannel. Our chip exploits multilayer soft lithography and the opening of a pneumatic microvalve to trigger the interdiffusion of pure water and the solution initially separated in the channel by the valve, the so called free interface diffusion technique. Another microvalve at a distance from the diffusion zone closes the channel and thus suppresses convection. Using this chip, we have measured diffusion coefficients of solutes in water with a broad size range, from small molecules to polymers and colloids, with values in the range $D \in [10^{-13}- 10^{-9}]$~m$^2$/s. The same experiments but with added colloidal tracers also revealed diffusio-phoresis and diffusio-osmosis phenomena due to the presence of the solute concentration gradient. We nevertheless show that these interfacial-driven transport phenomena do not affect the measurements of the solute diffusion coefficients in the explored concentration range.

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Bayesian coarsening: rapid tuning of polymer model parameters

et al. 2023

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A protocol based on Bayesian optimization is demonstrated for determining model parameters in a coarse-grained polymer simulation. This process takes as input the microscopic distribution functions and temperature-dependent density for a targeted polymer system. The process then iteratively considers coarse-grained simulations to sample the space of model parameters, aiming to minimize the discrepancy between the new simulations and the target. Successive samples are chosen using Bayesian optimization. Such a protocol can be employed to systematically coarse-grained expensive high-resolution simulations to extend accessible length and time scales to make contact with rheological experiments. The Bayesian coarsening protocol is compared to a previous machine-learned parameterization technique which required a high volume of training data. The Bayesian coarsening process is found to precisely and efficiently discover appropriate model parameters, in spite of rough and noisy fitness landscapes, due to the natural balance of exploration and exploitation in Bayesian optimization.

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Predictions of polymer migration in a dilute solution between rotating eccentric cylinders

Cited by 4 publications

References 41 publications

Mesoscopic simulations of inertial drag enhancement and polymer migration in viscoelastic solutions flowing around a confined array of cylinders

Mesoscopic simulations of inertial drag enhancement and polymer migration in viscoelastic solutions flowing around a confined array of cylinders

Microfluidic free interface diffusion: Measurement of diffusion coefficients and evidence of interfacial-driven transport phenomena

Bayesian coarsening: rapid tuning of polymer model parameters

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