Numerical Studies of Blood Flow in Left Coronary Model

Title:Numerical Studies of Blood Flow in Left Coronary Model

Volume: 13 Issue: 6

Author(s): Rupali Pandey*, Manoj Kumar and Vivek Kumar Srivastav

Affiliation:

• Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj (UP)-211004,India

Keywords: MIMICS software, ansys-ICEM, Coronary Artery Disease (CAD), Computational Fluid Dynamics (CFD), angiography, Wall Shear Stress (WSS), Grid Independence Test (GIT), human heart, hemodynamic.

Abstract:

Introduction: Artery blockage is the most prevailing cause of Coronary Artery Disease (CAD). The presence of blockage inside the artery breaks the continuity of blood supply to the other part of the body and therefore causes for heart attack.

Objectives: Two different three-dimensional models namely; normal and 50% plaque are used for the numerical studies. Five inlet velocities 0.10, 0.20, 0.50, 0.70 and 0.80 m/s are considered corresponding to different blood flow conditions to study the effect of velocity on the human heart.

Methods: Finite Volume Method (FVM) based Computational Fluid Dynamics (CFD) technique is executed for the numerical simulation of blood flow. Hemodynamic factors are computed and compared for the two geometrical models (Normal Vs. Blockage model).

Results: Blood hemodynamic factor i.e. Area Average Wall Shear Stress (AAWSS) ranges from 4.1-33.6 Pa at the façade of the Left Anterior Descending (LAD) part of the Left Coronary Artery (LCA) for the constricted artery.

Conclusion: The predominantly low WSS index is analogous to the normal artery affirms the existence of plaque. From the medical point of view, this can prove as an excellent factor for early diagnosis of CAD. Therefore, a hindrance can be created in the increasing frequency of Myocardial Infarction (MI). In future research we will adopt the unsteady flow with both rigid and elastic arterial wall.

Cite this article as:

Pandey Rupali *, Kumar Manoj and Srivastav Kumar Vivek , Numerical Studies of Blood Flow in Left Coronary Model, Recent Advances in Computer Science and Communications 2020; 13 (6) . https://dx.doi.org/10.2174/2666255813666190923102644