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Gambit 2

Manufactured by ANSYS
Sourced in United States

Gambit 2.4.6 is a pre-processing tool for computational fluid dynamics (CFD) and finite element analysis (FEA) simulations. It provides functionality for generating computational meshes from complex 3D geometries.

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Lab products found in correlation

3 protocols using gambit 2

1

Coronary Artery Modeling and Flow Simulation

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The axial CTA data sets were digitally processed to extract the geometric contours of the coronary arteries. A software prototype (Siemens AG, Healthcare Sector, Forchheim, Germany) was used for semiautomatic segmentation and meshing of the vessel surface with triangles. This model was imported into an open-source software package (MeshLab V1.11). Structures other than the examined vessel were removed. Sidebranches were cut at a distance at least two vessel diameters apart from the bifurcation. The resulting surface mesh model was further processed in a commercially available software tool (Gambit 2.4.6, Ansys Inc., Southpointe, PA, USA). In a first step the previous mesh was removed and replaced by a triangular surface mesh with smaller element size. Inflow and outflow areas were defined. Subsequently an adaptive 3D computational mesh was built consisting of 300,000 to 400,000 polyhedral elements for the entire model. One model per vessel was reconstructed. This model was further used for blood flow simulations (Fig. 1).
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2

Numerical Simulation of Blood Flow Dynamics

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Blood flow motion is governed by the incompressible Navier-Stokes equations (NSE):
where , , and are the velocity field, pressure field, density and dynamic viscosity of the fluid, respectively. Equations 2 and 3 were discretized and solved on an unstructured tetrahedral mesh generated with GAMBIT 2.4.6 (ANSYS, Inc., Canonsburg, PA), using the YALES2BIO solver 27 , an in-house CFD tool designed to perform numerical simulations of blood flows in complex geometries. The YALES2BIO solver uses a finite-volume method and high-order non-dissipative numerical schemes to solve the full NSE on unstructured meshes 28 . So far, the solver has been thoroughly validated for both microscopic 29, 30 and macroscopic scales 21, 31, 32, 33 biomedical applications.
Note that all the simulations were performed on two nodes (Dell PowerEdge C6320) of 28 cores Intel Xeon E5-2690 V4 2,6 GHz with 128 Go random-access memory per node.
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3

Numerical Simulation of Hollow OSR Flow

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All simulations in this paper were performed in ANSYS FLUENT 16.0 (ANSYS Inc., Canonsburg, PA, USA). In this paper, the volume of fluid (VOF) model was used to obtain the gas-liquid interface. The VOF model was employed to track the moving gas-liquid interface21 (link). The k-ω-SST turbulence model was used to enclose the governing equations of the fluid motion22 (link). All the boundary conditions were set to the wall. The PISO algorithm was used to solve the velocity and pressure. The time step size was 0.0001 seconds. The maximum courant number was 0.25. The grid for this hollow OSR was generated using Gambit 2.4.6 (ANSYS Inc., Canonsburg, PA, USA).
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