Flow Regime Characterization in a Diseased Artery Model
Authors: Anis S. Shuib, Peter R. Hoskins, William J. Easson
Abstract:
Cardiovascular disease mostly in the form of atherosclerosis is responsible for 30% of all world deaths amounting to 17 million people per year. Atherosclerosis is due to the formation of plaque. The fatty plaque may be at risk of rupture, leading typically to stroke and heart attack. The plaque is usually associated with a high degree of lumen reduction, called a stenosis. The initiation and progression of the disease is strongly linked to the hemodynamic environment near the vessel wall. The aim of this study is to validate the flow of blood mimic through an arterial stenosis model with computational fluid dynamics (CFD) package. In experiment, an axisymmetric model constructed consists of contraction and expansion region that follow a mathematical form of cosine function. A 30% diameter reduction was used in this study. Particle image velocimetry (PIV) was used to characterize the flow. The fluid consists of rigid spherical particles suspended in waterglycerol- NaCl mixture. The particles with 20 μm diameter were selected to follow the flow of fluid. The flow at Re=155, 270 and 390 were investigated. The experimental result is compared with FLUENT simulated flow that account for viscous laminar flow model. The results suggest that laminar flow model was sufficient to predict flow velocity at the inlet but the velocity at stenosis throat at Re =390 was overestimated. Hence, a transition to turbulent regime might have been developed at throat region as the flow rate increases.
Keywords: Atherosclerosis, Particle-laden flow, Particle imagevelocimetry, Stenosis artery
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073571
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1721References:
[1] C. A. Taylor, and M. T. Draney, "Experimental and computational methods in cardiovascular fluid mechanics," Annual Review Of Fluid Mechanics, vol. 36, pp. 197-231, 2004.
[2] D. A. Steinman, and C. A. Taylor, "Flow imaging and computing: Large artery hemodynamics," Annals Of Biomedical Engineering, vol. 33, no. 12, pp. 1704-1709, 2005.
[3] M. H. Friedman, and D. P. Giddens, "Blood flow in major blood vessels-modeling and experiments." pp. 1710-1713.
[4] B. Y. Liu, "The influences of stenosis on the downstream flow pattern in curved arteries," Medical Engineering & Physics, vol. 29, no. 8, pp. 868-876, Oct, 2007.
[5] V. Deplano, and M. Siouffi, "Experimental and numerical study of pulsatile flows through stenosis: Wall shear stress analysis," Journal Of Biomechanics, vol. 32, no. 10, pp. 1081-1090, Oct, 1999.
[6] G. C. Kagadis, E. D. Skouras, G. C. Bourantas et al., "Computational representation and hemodynamic characterization of in vivo acquired severe stenotic renal artery geometries using turbulence modeling," Medical Engineering & Physics, vol. 30, no. 5, pp. 647-660, Jun, 2008.
[7] L. Grinberg, A. Yakhot, and G. E. Karniadakis, "Analyzing Transient Turbulence in a Stenosed Carotid Artery by Proper Orthogonal Decomposition," Annals of Biomedical Engineering, vol. 37, no. 11, pp. 2200-2217, Nov, 2009.
[8] A. K. Politis, G. P. Stavropoulos, M. N. Christolis et al., "Numerical modeling of simulated blood flow in idealized composite arterial coronary grafts: Steady state simulations," Journal Of Biomechanics, vol. 40, no. 5, pp. 1125-1136, 2007.
[9] A. Valencia, and F. Baeza, "Numerical simulation of fluid-structure interaction in stenotic arteries considering two layer nonlinear anisotropic structural model," International Communications In Heat And Mass Transfer, vol. 36, no. 2, pp. 137-142, Feb, 2009.