Numerical simulation of wormlike micelle flows in micro-fluidic T-shaped junctions

Mathieu Colin 1, 2 Thierry Colin 3 Julien Dambrine 4
1 CARDAMOM - Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest
3 MC2 - Modélisation, contrôle et calcul
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5251
Abstract : Numerical simulations of non-newtonian fluids such as wormlike micellar solutions in confined geometries are of great interest in the oil industry. Their main property called shear-banding is a brutal transition from a very viscous state to a very fluid state above a certain threshold value of shear stress. This feature leads to a very complex behavior in 3D flows. A modified version of the Johnson-Segalman’s model, adapted to our situation (flows with a strong extensional component) is presented. A particular attention is paid to inlet and outlet boundary conditions, and a Poiseuillelike submodel is derived in order to get natural velocity and stress profiles that can be used at the boundaries. A numerical method is then developed, and stability issues are presented. Our results show the interest of the modified Johnson-Segalman’s model performed in this article. A set of 3D numerical simulations are then presented in order to understand the influence of the junction geometry upon the jamming effects observed in the behaviour of this kind of fluids.
Type de document :
Article dans une revue
Mathematics and Computers in Simulation, Elsevier, 2016, 127, pp.28-55
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https://hal.inria.fr/hal-01254642
Contributeur : Mathieu Colin <>
Soumis le : mardi 12 janvier 2016 - 15:14:10
Dernière modification le : mercredi 5 septembre 2018 - 13:30:03

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  • HAL Id : hal-01254642, version 1

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Mathieu Colin, Thierry Colin, Julien Dambrine. Numerical simulation of wormlike micelle flows in micro-fluidic T-shaped junctions. Mathematics and Computers in Simulation, Elsevier, 2016, 127, pp.28-55. 〈hal-01254642〉

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