332 Particle method computer simulation of red blood cell motion depending on its adhesive property to vessel wall

2009 ◽  
Vol 2008.21 (0) ◽  
pp. 365-366
Author(s):  
Nozomi TERAUCHI ◽  
Ken-ichi TSUBOTA ◽  
Hiroshi LIU
Keyword(s):  
Computer Simulation ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Vessel Wall ◽  
Particle Method ◽  
Adhesive Property ◽  
Cell Motion

Particle method for computer simulation of red blood cell motion in blood flow

2006 ◽  
Vol 83 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Ken-ichi Tsubota ◽  
Shigeo Wada ◽  
Takami Yamaguchi
Keyword(s):  
Computer Simulation ◽  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Particle Method ◽  
Cell Motion

Particle Method Computation of the Red Blood Cell Motion in Malaria Infection

2010 ◽  
Author(s):  
Takami Yamaguchi ◽  
Yosuke Imai ◽  
Takuji Ishikawa ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Malaria Infection ◽  
Particle Method ◽  
Cell Motion

Simulation of Red Blood Cell Deformation in Microvessels Using a New Rapid Modified Particle Method

2011 ◽  
Author(s):  
K. Firoozbakhsh ◽  
M. T. Ahmadian ◽  
M. Hasanian ◽  
S. Samiezadeh
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Complex Geometry ◽  
Fluid Pressure ◽  
Real Life ◽  
Particle Method ◽  
Original Method ◽  
Discrete Models ◽  
Mps Method ◽  
Long Time

The deformation of human red blood cell has been a topic of considerable scientific interest and real-life significance. Several methods have been improved to simulate the behavior of red blood cells motion and deformation in micro-capillaries. Since in microscopic scales, using discrete models are more preferred than continuum methods, moving particle semi-implicit method (MPS) which is one of the recent innovative particle based methods, can simulate micro-fluidic flows based on Navier-Stocks equations. It has been shown that original MPS method has a lack of rapid calculation which leads to massive calculations and long time simulation. Quite a few studies have been done to improve MPS method. But the main problem, calculation of viscosity effect in conjunction with fluid pressure distribution, is still under discussion. In this paper a new algorithm is proposed that is to say by this method simulation duration decreases by the factor of 20 while the accuracy of the results remains constant. The results indicate that while the velocity precision is as well as original method, the duration of simulation is reduced more than 20 times. This significant novel MPS algorithm can be implemented in future studies for simulation of multi-fluid flows, complex geometry flows and micro-scale biomedical phenomena.

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