Modeling of complex fluids using micro-macro approach with transient network dynamics

Ferrer, V.; Gómez, A.; Ortega, J.; Manero, Ο.; Rincón, E.; López‐Serrano, F.; Vargas, René O.

doi:10.1007/s00397-017-1004-5

Cited by 4 publications

(6 citation statements)

References 22 publications

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“…The number of segments is defined in a similar way, noting that the concentration of segments includes the dangling ends. Table 1 characterizes the microstates in terms of nodes, the number of segments, and the number of chains, (for details see [16,18]). Each microstate has its own extension length l i , viscosity ν i and time τ i , which are determined:…”

Section: Transient Network Dynamicsmentioning

confidence: 99%

“…The time step Δt = 0.001 is used in all of the simulations. Full details of the algorithm can be found in [18,19].…”

Section: Numerical Solutionmentioning

confidence: 99%

“…In this section, two kinetic schemes are compared. The first scheme (Kinetics 1) is the one used by Ferrer et al [18] for the transient network model under simple shear flow using BCFM, where N f is the number of trajectories or configuration fields in the whole system. The second scheme (Kinetics 2), coupling the transient network model, comprises five microstates where each microstate uses N f configuration fields in order to determine its extension length.…”

Section: Comparison Of Kinetic Schemesmentioning

confidence: 99%

“…Rincón et al considered different entanglement scenarios was provided by the assumption of five microstates to describe transient network dynamics [16], where the rheological functions were calculated using the moments of the distribution function [17]. Ferrer et al [18] used the micro-macro approach to couple the Finitely Extensible Nonlinear Elastic (FENE) model with the transient network of Rincón et al [16] for a generalized complex fluid under simple shear flow.…”

Section: Introductionmentioning

confidence: 99%

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Multiscale modeling of complex fluids under SAOS and LAOS using a combined FENE transient network model

et al. 2023

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The multiscale modeling of complex fluids under small and large amplitude oscillatory shear flow using non-linear kinetic and transient network models is presented. The kinetics of microstates is analogous to chemical kinetics, which defines the physical macromolecule interaction in a Newtonian fluid, and the concentration of microstates defines a variable maximum length of extension for each microstate. The effect of important parameters like viscosity ratio, chain length, viscoelasticity, kinetic rate constants, for different initial entanglement scenarios (entangled, disentangled and aleatory) are analyzed. The Lissajous curves for the shear stress and the first normal stress difference versus the instantaneous strain or strain-rate are shown. The self-intersection of the Lissajous curves or secondary loops is shown to depend on the kinetic rate constants, the maximum extension length, and the elasticity.

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Section: Transient Network Dynamicsmentioning

confidence: 99%

“…The time step Δt = 0.001 is used in all of the simulations. Full details of the algorithm can be found in [18,19].…”

Section: Numerical Solutionmentioning

confidence: 99%

Section: Comparison Of Kinetic Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiscale modeling of complex fluids under SAOS and LAOS using a combined FENE transient network model

et al. 2023

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“…The issue is when microstructure concentrations become sufficiently large, such that they are capable of modifying fluid properties. Structure breakage will result in thixotropy and structure build-up in antithixotropy (Ferrer et al 2017;Mewis and Wagner 2009;Quemada 1999).…”

Section: Microstructure Evolutionmentioning

confidence: 99%

Influence of Smooth Constriction on Microstructure Evolution during Fluid Flow through a Tube

Ferrer¹,

Mil-Martínez²,

Ortega³

et al. 2017

JAFM

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A numerical solution for axis-symmetrical fluid flow through a smooth constriction using the alternating direction implicit finite volume method and the fractional-step-method is presented. The wall is modelled with a smooth contraction mapped by a sinusoidal function and the flow is supposed to be axis-symmetric. A pressure boundary condition is set at the inlet and the resulting pressure gradient field drives fluid flow which is always in laminar regime. This study presents results for a non-Newtonian fluid using the Ostwaldde Waele constitutive model. Moreover, a transient network representing three different microstructures, immersed in the fluid, is evolved by viscous dissipation and an isothermal process is considered. The time dependent evolution of the transient network is represented by a set of kinetic equations with their respective forward and reversed constants. The numerical predictions show that, at a fixed Reynolds number, the viscous dissipation and the grade of structure restoration or breakage is influenced by constriction severity due to the energy generated during fluid flow. A 50% reduction in transversal section generates secondary flow downstream and vortex shedding, whereas a 10% and 25% constrictions presents a thin boundary layer and no secondary flow near the constricted wall.

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Large-amplitude oscillatory shear flow simulation for a FENE fluid

Gómez-López

Ferrer

Rincón³

et al. 2019

Rheol Acta

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Modeling of complex fluids using micro-macro approach with transient network dynamics

Cited by 4 publications

References 22 publications

Multiscale modeling of complex fluids under SAOS and LAOS using a combined FENE transient network model

Multiscale modeling of complex fluids under SAOS and LAOS using a combined FENE transient network model

Influence of Smooth Constriction on Microstructure Evolution during Fluid Flow through a Tube

Large-amplitude oscillatory shear flow simulation for a FENE fluid

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