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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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3.3 Surface and solid mesh reconstruction<br />

The superficial and solid mesh was obtained using the Simpleware (v4.3 - Scan IP<br />

module) image processing software. The superficial mesh was constructed using<br />

triangle elements to obtain the geometry in STL format, then the solid mesh of<br />

tetrahedral elements was obtained using the +FE Grid algorithm trying to conserve all<br />

the possible contacts to apply then the boundary conditions.<br />

3.4 CFD Analysis<br />

Once the mesh was obtained the CFD analysis was performed using the commercial<br />

software Fluent 12.1 (Ansys-United States). The steady-state Navier-Stokes equations<br />

were solved to calculate the velocity profile and the WSS of each network. The blood<br />

properties that were used to simulate the fluid within the different vascular networks are<br />

given in Table 1. Taking into account the rheological behavior of the blood and the<br />

vascular network size, a Non-Newtonian fluid was simulated (Eq. 1). The non-<br />

Newtonian molecular viscosity model used in this study was the non-Newtonian power<br />

law where the viscosity is calculated as [12].<br />

Where , , , and are input parameters. is a measure of the average viscosity<br />

of the fluid (the consistency index); is a measure of the deviation of the fluid from<br />

Newtonian (the power–law index), is the reference temperature; and and are<br />

respectively, the lower and upper limits of Newtonian viscosity used in the power law.<br />

The fluid shear stress, denoted by is calculated as<br />

Given the low Reynolds numbers under the applied flow rates, fluid was assumed to be<br />

incompressible and laminar. The mass and momentum conservation equations for<br />

laminar flow were solved.<br />

Table 1 Blood properties and non-Newtonian power law parameters<br />

Blood properties<br />

Density (Kg.m -3 ) 1060<br />

Power-law index (n) 0.7<br />

Consistency index (kg s n−2 /m) 0.01691<br />

References temperature (ºK) 310<br />

Minimum viscosity limit nmin(kg/ms) 0.0001<br />

Maximum viscosity limit nmin(kg/ms) 0.1<br />

The boundary conditions were defined in Fluent to simulate blood movement from the<br />

superior to inferior position. A constant velocity equal to 0.001 ms -1 was applied in the<br />

superior region and null pressure outlet was applied in the inferior region of the<br />

networks. Blood walls were set to zero diffusive flux. To perform the CFD analysis we<br />

have used Window Server 2008 R2 Enterprise with two processors Intel (R) Xeon(R)<br />

3GHz and 48GB of memory RAM<br />

[2]<br />

(4)<br />

[1]<br />

[3]

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