Literature DB >> 23293072

Spring-network-based model of a red blood cell for simulating mesoscopic blood flow.

Masanori Nakamura1, Sadao Bessho, Shigeo Wada.   

Abstract

We developed a mechanical model of a red blood cell (RBC) that is capable of expressing its characteristic behaviors in shear flows. The RBC was modeled as a closed shell membrane consisting of spring networks in the framework of the energy minimum concept. The fluid forces acting on RBCs were modeled from Newton's viscosity law and the conservation of momentum. In a steady shear flow, the RBC model exhibited various behaviors, depending on the shear rate; it tumbled, tank-treaded, or both. The transition from tumbling to tank-treading occurred at a shear rate of 20 s( - 1). The simulation of an RBC in steady and unsteady parallel shear flows (Couette flows) showed that the deformation parameters of the RBC were consistent with experimental results. The RBC in Poiseuille flow migrated radially towards the central axis of the flow channel. Axial migration became faster with an increase in the viscosity of the media, qualitatively consistent with experimental results. These results demonstrate that the proposed model satisfies the essential conditions for simulating RBC behavior in blood flow. Finally, a large-scale RBC flow simulation was implemented to show the capability of the proposed model for analyzing the mesoscopic nature of blood flow.
Copyright © 2012 John Wiley & Sons, Ltd.

Mesh:

Year:  2012        PMID: 23293072     DOI: 10.1002/cnm.2501

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  9 in total

1.  Label-free sorting of soft microparticles using a bioinspired synthetic cilia array.

Authors:  Salman Sohrabi; Jifu Tan; Doruk Erdem Yunus; Ran He; Yaling Liu
Journal:  Biomicrofluidics       Date:  2018-05-21       Impact factor: 2.800

2.  A numerical study on the elastic modulus of volume and area dilation for a deformable cell in a microchannel.

Authors:  Ji Young Moon; Roger I Tanner; Joon Sang Lee
Journal:  Biomicrofluidics       Date:  2016-08-04       Impact factor: 2.800

3.  Investigation of red blood cell mechanical properties using AFM indentation and coarse-grained particle method.

Authors:  Sarah Barns; Marie Anne Balanant; Emilie Sauret; Robert Flower; Suvash Saha; YuanTong Gu
Journal:  Biomed Eng Online       Date:  2017-12-19       Impact factor: 2.819

4.  Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method.

Authors:  Jifu Tan; Wesley Keller; Salman Sohrabi; Jie Yang; Yaling Liu
Journal:  Nanomaterials (Basel)       Date:  2016-02-05       Impact factor: 5.076

5.  SPH-DEM approach to numerically simulate the deformation of three-dimensional RBCs in non-uniform capillaries.

Authors:  Hasitha-Nayanajith Polwaththe-Gallage; Suvash C Saha; Emilie Sauret; Robert Flower; Wijitha Senadeera; YuanTong Gu
Journal:  Biomed Eng Online       Date:  2016-12-28       Impact factor: 2.819

Review 6.  Structural modelling of the cardiovascular system.

Authors:  Benjamin Owen; Nicholas Bojdo; Andrey Jivkov; Bernard Keavney; Alistair Revell
Journal:  Biomech Model Mechanobiol       Date:  2018-06-18

Review 7.  Deformation of Red Blood Cells, Air Bubbles, and Droplets in Microfluidic Devices: Flow Visualizations and Measurements.

Authors:  David Bento; Raquel O Rodrigues; Vera Faustino; Diana Pinho; Carla S Fernandes; Ana I Pereira; Valdemar Garcia; João M Miranda; Rui Lima
Journal:  Micromachines (Basel)       Date:  2018-03-27       Impact factor: 2.891

8.  PyOIF: Computational tool for modelling of multi-cell flows in complex geometries.

Authors:  Iveta Jančigová; Kristína Kovalčíková; Rudolf Weeber; Ivan Cimrák
Journal:  PLoS Comput Biol       Date:  2020-10-19       Impact factor: 4.475

9.  Dissipative Coupling of Fluid and Immersed Objects for Modelling of Cells in Flow.

Authors:  Martin Bušík; Martin Slavík; Ivan Cimrák
Journal:  Comput Math Methods Med       Date:  2018-09-27       Impact factor: 2.238

  9 in total

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