Single-Phase Blood Flow in a Stenosed Coronary Artery: A Clinical Model-Based Experimental and Numerical Study

IF 2.4 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Orhan Yildirim, Sendogan Karagoz, Fatin Sonmez, Ilker Firat
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引用次数: 0

Abstract

This study aims to develop an experimental platform that emulates the human cardiovascular system to investigate the effects of varying pulse rates and fluid properties on pressure drop, peristaltic pump output pressure, and power consumption. To support the experimental findings, computational fluid dynamics (CFD) simulations were conducted to analyze single-phase blood flow dynamics. Idealized arterial geometries representing healthy (0% stenosis) and diseased (65% stenosis) conditions were reconstructed from computed tomography (CT) images. A non-Newtonian blood-mimicking fluid (XSCN) was formulated to better replicate the rheological behavior of blood, while distilled water was used as the Newtonian reference fluid. Experiments were conducted at six different pulse rates: 72, 84, 96, 114, 132, and 156 beats per minute (bpm). The experimental setup was replicated in a virtual environment using ANSYS Fluent to simulate flow behavior under identical boundary conditions. The results demonstrate that increasing pulse rate leads to an increase in pressure drop (ΔP), pump output pressure, and power consumption for both arterial models. These effects were more pronounced in the stenosed artery due to flow constriction. Elevated turbulence intensity was observed at higher pulse rates, with notable differences between Newtonian and non-Newtonian fluids, particularly in terms of flow resistance and shear-dependent viscosity. Power consumption was found to be directly correlated with fluid viscosity, which varied with shear rate in the non-Newtonian fluid. The 65% stenosed model consistently exhibited higher pressure drops and flow irregularities. Fractional flow reserve (FFR) analysis confirmed that a 65% luminal narrowing poses significant hemodynamic risk. The highest wall shear stress (WSS) values were localized in the stenotic region, contributing to disturbed flow patterns and increased turbulence downstream. The non-Newtonian fluid model revealed that WSS was more sensitive to flow alterations, emphasizing the role of shear-dependent viscosity in vascular hemodynamics. These findings underscore the critical influence of hemodynamic parameters—such as pulse rate, viscosity, and arterial geometry—on cardiovascular performance. The study further highlights the detrimental impact of arterial stenosis on blood flow behavior and energy expenditure, with implications for clinical diagnosis and treatment planning in cardiovascular diseases.

Abstract Image

冠状动脉狭窄的单相血流:基于临床模型的实验和数值研究。
本研究旨在建立一个模拟人类心血管系统的实验平台,以研究不同脉冲速率和流体特性对压降、蠕动泵输出压力和功耗的影响。为了支持实验结果,进行了计算流体动力学(CFD)模拟来分析单相血流动力学。从计算机断层扫描(CT)图像重建代表健康(0%狭窄)和病变(65%狭窄)状况的理想动脉几何形状。配制了一种非牛顿血液模拟液(XSCN),以更好地复制血液的流变行为,而蒸馏水被用作牛顿参考液。实验以六种不同的脉搏率进行:每分钟72、84、96、114、132和156次。利用ANSYS Fluent软件在虚拟环境中复制实验装置,模拟相同边界条件下的流动特性。结果表明,在两种动脉模型中,脉率的增加导致压降(ΔP)、泵输出压力和功耗的增加。这些影响在因血流收缩而狭窄的动脉中更为明显。在较高的脉冲速率下,观察到湍流强度升高,牛顿流体和非牛顿流体之间存在显著差异,特别是在流动阻力和剪切依赖粘度方面。功率消耗与流体粘度直接相关,在非牛顿流体中,流体粘度随剪切速率的变化而变化。65%狭窄模型始终表现出较高的压降和流动不规则性。分数血流储备(FFR)分析证实65%的管腔狭窄会带来显著的血流动力学风险。最大的壁面剪切应力(WSS)值位于狭窄区域,导致流动模式受到干扰,下游湍流加剧。非牛顿流体模型显示WSS对血流变化更敏感,强调剪切依赖粘度在血管血流动力学中的作用。这些发现强调了血液动力学参数(如脉搏率、粘度和动脉几何)对心血管性能的重要影响。该研究进一步强调了动脉狭窄对血流行为和能量消耗的不利影响,对心血管疾病的临床诊断和治疗计划具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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