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CFD Analysis of Aortic Aneurysms on the Basis of Mathematical Simulation


Affiliations
1 Research Scholar, Sathyabama University, Chennai-600 119, Tamil Nadu, India
2 Department of Mathematics, Sathyabama University, Chennai-600 119, Tamil Nadu, India
3 Department of Aeronautical Engineering, Sathyabama University, Chennai-600 119, Tamil Nadu, India
 

In the present study, Aortic Aneurysms (AA) are investigated using Computational Fluid Dynamics (CFD) softwares Fluent and Gambit. A computational model of AA is developed from computed tomography (CT) scans using MIMICS software. Hemodynamic factors such as velocity magnitude, dynamic pressure, wall shear stress, wall strain, streamline patterns for unsteady flow conditions are discussed in detail. Contours and streamline patterns show how the flow is affected by different input pressure (p = 90.0074 mmHg, 150.0123 mmHg, 180.0148mmHg) and velocity (v = -0.4 m/s, -0.6 m/s, -1.5 m/s) conditions. The interruption of blood flow is visible through high pressure and low velocities in the region of aneurysms. These techniques based on computer flow study are important for understanding the relationship between hemodynamic parameters and risk of rupture. Quantification and decision of multiple aneurysms serve as the ischolar_main for surgical intervention.

Keywords

Aortic Aneurysms, Computational Fluid Dynamics, Contours, Hemodynamic, Mimics, Streamlines
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  • CFD Analysis of Aortic Aneurysms on the Basis of Mathematical Simulation

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Authors

H. Girija Bai
Research Scholar, Sathyabama University, Chennai-600 119, Tamil Nadu, India
K. B. Naidu
Department of Mathematics, Sathyabama University, Chennai-600 119, Tamil Nadu, India
G. Vasanth Kumar
Department of Aeronautical Engineering, Sathyabama University, Chennai-600 119, Tamil Nadu, India

Abstract


In the present study, Aortic Aneurysms (AA) are investigated using Computational Fluid Dynamics (CFD) softwares Fluent and Gambit. A computational model of AA is developed from computed tomography (CT) scans using MIMICS software. Hemodynamic factors such as velocity magnitude, dynamic pressure, wall shear stress, wall strain, streamline patterns for unsteady flow conditions are discussed in detail. Contours and streamline patterns show how the flow is affected by different input pressure (p = 90.0074 mmHg, 150.0123 mmHg, 180.0148mmHg) and velocity (v = -0.4 m/s, -0.6 m/s, -1.5 m/s) conditions. The interruption of blood flow is visible through high pressure and low velocities in the region of aneurysms. These techniques based on computer flow study are important for understanding the relationship between hemodynamic parameters and risk of rupture. Quantification and decision of multiple aneurysms serve as the ischolar_main for surgical intervention.

Keywords


Aortic Aneurysms, Computational Fluid Dynamics, Contours, Hemodynamic, Mimics, Streamlines



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i12%2F59436