Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-27T22:17:45.529Z Has data issue: false hasContentIssue false

Modeling the Sedimentation of Red Blood Cells in Flow under Strong External Magnetic Body Force Using a Lattice Boltzmann Fictitious Domain Method

Published online by Cambridge University Press:  09 August 2018

Xing Shi
Affiliation:
School of Aeronautics and Aerospace, Zhejiang University, Hangzhou, 310027, P.R. China.
Guang Lin*
Affiliation:
Department of Mathematics, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA. Computational Mathematics Group, Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Blvd., P.O. Box 999, WA 99352, USA.
*
*Corresponding author. Email address:, guanglin@purdue.edu
Get access

Abstract

Experimental observations show that a strong magnetic field has a dramatic influence on the sedimentation of RBCs, which motivates us to model the sedimentation of red blood cell (RBC) under strong external magnetic body force. To model the sedimentation of a RBC in a square duct and a circular pipe, a recently developed technique derived from the lattice Boltzmann and the distributed Lagrange multiplier/fictitious domain methods (LBM-DLM/FD) is extended to employ the mesoscopic network model for simulations of the sedimentation of a RBC in flow. The flow is simulated by the LBM with a strong magnetic body force, while the network model is used for modeling RBC deformation. The fluid-RBC interactions are enforced by the Lagrange multiplier. The sedimentation of RBC in a square duct and a circular pipe is simulated, which demonstrates the developed method's capability to model the sedimentation of RBCs in various flows. Numerical results illustrate that the terminal settling velocity increases incrementally with the exerted body force. The deformation of RBC has a significant effect on the terminal settling velocity due to the change in the frontal area. The larger the exerted force, the smaller the frontal area and the larger the RBC deformation become. Additionally, the wall effect on the motion and deformation of RBC is also investigated.

Type
Research Article
Copyright
Copyright © Global Science Press Limited 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Melville, D., Paul, F., Roath, S., Direct magnetic separation of red cells from whole blood, Nature, 1975; 255:706.Google Scholar
[2] Svoboda, J., Separation of red blood cells by magnetic means, J. Magn. Magn. Mater., 2000; 220:103105.Google Scholar
[3] Tao, R., Huang, K., Reducing blood viscosity with magnetic fields, Phys. Rev. E, 2011; 84:011905.Google Scholar
[4] Fung, Y.C., Biomechanics: Mechanical Properties of Living Tissues, 2nd ed. Springer Verlag, New York, 1993.Google Scholar
[5] Fung, Y.C., Zweifach, B.W., Microcirculation: Mechanics of blood low in capillaries. Annu. Rev. Fluid Mech., 1971; 3:189210.Google Scholar
[6] Evans, E.A., New membrane concept applied to the analysis of fluid shear- and micropipette-deformed red blood cells. Biophys. J., 1973; 13(9):941954.Google Scholar
[7] Skalak, R., Branemark, P.I., Deformation of red blood cells in capillaries. Science, 1969; 164 (3880):717719.Google Scholar
[8] Secomb, T.W., Skalak, R., Oozkaya, N., Gross, J.F., Flow of axisymmetric red blood cells in narrow capillaries. J. Fluid Mech., 1986; 163:405423.Google Scholar
[9] Boey, S.K., Boal, D.H., Discher, D.E., Simulations of the erythrocyte cytoskeleton at large deformation. I. Microscopic models. Biophys. J., 1998; 75(3):15731583.Google Scholar
[10] Li, J., Dao, M., Lim, C.T., Suresh, S., Spectrin-level modeling of the cytoskeleton and optical tweezers stretching of the erythrocyte. Biophys. J., 2005; 88(5):37073719.Google Scholar
[11] Fedosov, D., Caswell, B., Karniadakis, G.E., A multiscale red blood cell model with accurate mechanics, rheology, and dynamics. Biophys. J., 2010; 98(10):22152225.Google Scholar
[12] De Hart, J., Peters, G.W.M., Schreurs, P.J.G., Baaijens, F.P.T., A three-dimensional computational analysis of fluidstructure interaction in the aortic valve. J. Biomech., 2003; 36(1):103112.CrossRefGoogle ScholarPubMed
[13] Peskin, C.S., Numerical analysis of blood flow in the heart. J. Comput. Phys., 1977; 25:220252.Google Scholar
[14] Glowinski, R., Pan, T., Pèriaux, J., A fictitious domain method for external incompressible viscous flow modeled by Navier-Stokes equations. Comput. Method Appl. Mech. Eng., 1994; 112(1-4):133148.Google Scholar
[15] Liu, Y., Liu, W.K., Rheology of red blood cell aggregation by computer simulation. J. Comput. Phys., 2006; 220(1):139154.Google Scholar
[16] Yu, Z., A DLM/FD method for fluid/flexible-body interactions. J. Comput. Phys., 2005; 207(1):127.Google Scholar
[17] Pan, T.W., Shi, L., Glowinski, R., A DLM/FD/IB Method for Simulating Cell/Cell and Cell/Particle Interaction in Microchannels. Chinese Ann. Math B., 2010; 31(6):975990.Google Scholar
[18] Shi, X., Lim, S.P., A LBM-DLM/FD method for 3D fluid-structure interactions. J. Com-put. Phys., 2007; 226(2):20282043.Google Scholar
[19] Chen, S., Doolen, G.D., Lattice Boltzmann method for fluid flows. Annu. Rev. Fluid Mech., 1998; 30:329364.Google Scholar
[20] Nourgaliev, R.R., Dinh, T.N., Theofanous, T.G., Joseph, D., The lattice Boltzmann equation method: theoretical interpretation, numerics and implications. Int. J. Multiphase Flow, 2003; 29(1):117169.Google Scholar
[21] Shi, X., Lin, G., Zhou, J., Fedosov, D., A lattice Boltzmann fictitious domain method for modeling red blood cell deformation and multiple-cell hydrodynamic interactions in flow. Int. J. Numer. Meth. Fl., 2013; 72(8):895911.Google Scholar
[22] Tanimoto, Y., Kakuda1, Y., Influence of strong magnetic field on the sedimentation of red blood cells. J. Phys.: Conf. Ser., 2009; 156:012030.Google Scholar
[23] Tsukada, K., Sekizuka, E., Oshio, C., Direct measurement of erythrocyte deformability in diabetes mellitus with transparent microchannel capillary model and high-speed video camera system. Microvas. Res., 2001; 61(3):231239.Google Scholar