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Shape Recovery of Elastic Capsules from Shear Flow Induced Deformation

Published online by Cambridge University Press:  03 June 2015

John Gounley*
Affiliation:
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529, USA
Yan Peng*
Affiliation:
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529, USA
*
Corresponding author.Email:[email protected]
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Abstract

Red blood cells undergo substantial shape changes in vivo. Modeled as a viscoelastic capsule, their deformation and equilibrium behavior has been extensively studied. We consider how 2D capsules recover their shape, after having been deformed to ‘equilibrium’ behavior by shear flow. The fluid-structure interaction is modeled using the multiple-relaxation time lattice Boltzmann (LBM) and immersed boundary (IBM) methods. Characterizing the capsule’s shape recovery with the Taylor deformation parameter, we find that a single exponential decay model suffices to describe the recovery of a circular capsule. However, for biconcave capsules whose equilibrium behaviors are tank-treading and tumbling, we posit a two-part recovery, modeled with a pair of exponential decay functions. We consider how these two recovery modes depend on the capsule’s shear elasticity, membrane viscosity, and bending stiffness, along with the ratio of the viscosity of the fluid inside the capsule to the ambient fluid viscosity. We find that the initial recovery mode for a tank-treading biconcave capsule is dominated by shear elasticity and membrane viscosity. On the other hand, the latter recovery mode for both tumbling and tank-treading capsules, depends clearly on shear elasticity, bending stiffness, and the viscosity ratio.

Type
Research Article
Copyright
Copyright © Global Science Press Limited 2014

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References

[1]Abkarian, M., Faivre, M., and Viallat, A., Swinging of red blood cells under shear flow, Physical Review Letters, 98 (2007), pp. 1883021-188302-4.CrossRefGoogle ScholarPubMed
[2]Barthes-Biesel, D., Diaz, A., and Dhenin, E., Effect of constitutive laws for two-dimensional membranes on flow-induced capsule deformation, Journal of Fluid Mechanics, 460 (2002), pp. 211222.CrossRefGoogle Scholar
[3]Baskurt, O. and Meiselman, H., Determination of red blood cell shape recovery time constant in a couette system by the analysis of light reflectance and ektacytometry, Biorheology, 33 (1996), pp. 487501.Google Scholar
[4]Dao, M., Lim, C., and Suresh, S., Mechanics of the human red blood cell deformed by optical tweezers, Journal of the Mechanics and Physics of Solids, 51 (2003), pp. 22592280.Google Scholar
[5]Dupin, M., Halliday, I., Care, C., Alboul, L., and Munn, L., Modeling the flow of dense suspensions of deformable particles in three dimensions, Physical Review E, 75 (2007), pp. 06670710667070-17.Google Scholar
[6]Evans, E., Bending elastic modulus of red blood cell membrane derived from buckling instability in micropipet aspiration tests, Biophysical Journal, 43 (1983), pp. 2730.Google Scholar
[7]Evans, E. and Hochmuth, R., Membrane viscoelasticity, Biophysical Journal, 16 (1976), pp. 111.Google Scholar
[8]Fischer, T., Shape memory of human red blood cells, Biophysical Journal, 86 (2004), pp. 33043313.CrossRefGoogle ScholarPubMed
[9]Ginzbourg, I. and Adler, P., Boundary flow condition analysis for the three-dimensional lattice Boltzmann method, J. Phys. II, 4 (1994), pp. 191214.Google Scholar
[10]Hou, G., Wang, J., and Layton, A., Numerical methods for fluid-structure interaction - a review, Commun. Comput. Phys., 12 (2012), pp. 337377.CrossRefGoogle Scholar
[11]Ii, S., Gong, X., Sugiyama, K., Wu, J., Huang, H., and Takagi, S., A full Eulerian fluid-membrane coupling method with a smoothed volume-of-fluid approach, Commun. Comput. Phys., 12 (2012), p. 544.Google Scholar
[12]Lallemand, P. and Luo, L.-S., Theory of the lattice Boltzmann method: Dispersion, dissipation, isotropy, galilean, invariance, and stability, Physical Review E, 61 (2000).Google Scholar
[13]Lallemand, P., Luo, L.-S., and Peng, Y., A lattice Boltzmann front-tracking method for interface dynamics with surface tension in two dimensions, Journal of Computational Physics, 226 (2007), pp. 13671384.Google Scholar
[14]Le, D. V., Effect of bending stiffness on the deformation of liquid capsules enclosed by thin shells in shear flow, Physical Review E, 82 (2010), p. 016318.Google Scholar
[15]Noguchi, H. and Gompper, G., Dynamics of fluid vesicles in shear flow: Effect of membrane viscosity and thermal fluctuations, Physical Review E, 72 (2005), p. 011901.Google Scholar
[16]Peng, Y. and Luo, L.-S., A comparative study of immersed-boundary and interpolated bounce-back methods in LBE, Progress in Computational Fluid Dynamics, 8 (2008), pp. 156167.Google Scholar
[17]Peskin, C., The immersed boundary method, Acta Numerica, 11 (2002), pp. 479517.Google Scholar
[18]Pozrikidis, C., Numerical simulation of the flow-induced deformation of red blood cells, Annals of Biomedical Engineering, 31 (2003), pp. 11941205.Google Scholar
[19]Pozrikidis, C., Resting shape and spontaneous membrane curvature of red blood cells, Mathematical Medicine and Biology, 22 (2003), pp. 3452.Google Scholar
[20]Ramanujan, S. and Pozrikidis, C., Deformation of liquid capsules enclosed by elastic membranes in simple shear flow: large deformations and the effect of fluid viscosities, Journal of Fluid Mechanics, 361 (1998), pp. 117143.Google Scholar
[21]Secomb, T., Fischer, T., and Skalak, R., The motion of close-packed red blood cells in shear flow, Biorheology, 20 (1983), pp. 283294.Google Scholar
[22]Skalak, R., Tozeren, A., Zarda, R., and Chien, S., Strain energy function of red blood cell membranes, Biophysical Journal, 13 (1973), pp. 245264.Google Scholar
[23]Skotheim, J. and Secomb, T., Red blood cells and other nonspherical capsules in shear flow: Oscillatory dynamics and the tank-treading-to-tumbling transition, Physical Review Letters, 98 (2007), pp. 0783011-078301-4.Google Scholar
[24]Sui, Y., A numerical study on the deformation of liquid-filled capsules with elastic membranes in simple shear flow, Ph.D. thesis, National University of Singapore, 2008.Google Scholar
[25]Sui, Y., Chew, Y., Roy, P., Chen, X., and Low, H., Transient deformation of elastic capsules in shear flow: Effect of membrane bending stiffness, Physical Review E, 75 (2007), pp. 0663011-066310-10.Google Scholar
[26]Sui, Y., Low, H., Chew, Y., and Roy, P., A front-tracking lattice Boltzmann method to study flow-induced deformation of three-dimensional capsules, Computers and Fluids, 39 (2010), pp.499511.Google Scholar
[27]Sutera, S., Mueller, E., and Zahalak, G., Extensional recovery of an intact erythrocyte from tan-treading motion, Journal of Biomedical Engineering, 112 (1990), pp. 250256.Google ScholarPubMed
[28]Usami, S., Chien, S., Scholtz, P., and Bertles, J., Effect of deoxygenation on blood rheology in sickle cell disease, Microvascular Research, 9 (1975), pp. 324334.Google Scholar
[29]Zhang, J., Effect of suspending viscosity on red blood cell dynamics and blood flows in microvessels, Microcirculation, 18 (2011), pp. 562573.Google Scholar
[30]Zhang, J., Johnson, P., and Popel, A., An immersed boundary lattice Boltzmann approach to simulate deformable liquid capsules and its application to microscopic blood flows, Physical Biology, 4 (2007), pp. 285295.Google Scholar
[31]Zhang, J., Johnson, P., and Popel, A., Red blood cell aggregation and dissociation in shear flows simulated by lattice Boltzmann method, Journal of Biomechanics, 41 (2008), pp. 4755.CrossRefGoogle ScholarPubMed
[32]Zhao, M. and Bagchi, P., Dynamics of microcapsules in oscillating shear flow, Physics of Fluids, 23 (2011), p. 111901.Google Scholar