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Hemodynamic forces, such as Wall Shear Stress, are known to be one of the factors behind atherosclerotic plaque formation in blood vessels. This plaque formation can lead to vascular pathologies, such as aneurysms and stenosis (BALOSSINO et al., 2009; CEBRAL et al., 2005; DONG; INTHAVONG; TU, 2013). Given the importance of understanding the hemodynamics inside blood vessels, numerical simulations such as those using the CFD (Computational Fluid Dynamics) technique have been applied, in order to aid physicians with further analysis of the blood flow. These simulations can be used alongside with common medical imaging technologies, such as MRI (Magnetic resonance Imaging) and CT-scans (Computed Tomography) (LI et al., 2018). Although numerical studies try to simulate cases as close as possible to the real physical and biological behavior, many studies tend to adopt simplifications. Some usual considerations are the adoption of a Newtonian model for the single-phase blood rheology or the use of generic geometries representing the vessels. Nevertheless, the use of simplifications can lead to reasonable results (KARIMI et al., 2014; MORALES et al., 2013), which can be used as basis for further studies. Despite achieving acceptable results, blood is a suspension-type fluid, composed of blood cells, erythrocytes, leucocytes and thrombocytes, suspended in plasma (JUNG; HASSANEIN, 2008; RAZAVI; SHIRANI; SADEGHI, 2011). Whilst blood cell presence in blood flow is a known information, simulations tend to consider blood as a single-phase flow. Therefore, computational hemodynamics tend to focus on the whole blood as well as pathologies, rather than the physics behind the cells. However, blood cells can account to more than half of the blood volume, depending on the patient (JUNG; HASSANEIN, 2008; OU et al., 2016). Hence, the present work aimed to study the behavior of plasma, a Newtonian fluid, flowing around a single erythrocyte, as well as a group of erythrocytes contained in a 2D domain. From the simulations, parameters such as velocity magnitude and Reynolds number were analyzed, in order to provide more information that will be used in future studies by the research group.

EVALUATION OF BLOOD PLASMA FLOW AROUND 2D ERYHTROCYTES WITH THE USE OF COMPUTATIONAL FLUID DYNAMICS