Department of Mechanical Engineering, Dong-A University, Busan, Republic of Korea.
Department of Healthcare Information Technology, Inje University, Gimhae, Republic of Korea.
Int J Numer Method Biomed Eng. 2023 Jul;39(7):e3733. doi: 10.1002/cnm.3733. Epub 2023 May 23.
The cerebrovascular blood vessels feed necessary agents such as oxygen, glucose, and so forth. to the brain which maintains the smooth functioning of the human body. However, the blood-brain barrier as a vascular border restricts the entry of drugs that can be necessary for the treatment of neurological disorders. The fluid shear stress in the cerebrovascular blood vessels may regulate the drug delivery in the interface between the cerebrovascular blood vessels and the brain. The intensity of influence by various factors that affects the shear stress in the cerebrovascular blood vessels is scarcely addressed in the present study. A hybrid approach of computational fluid dynamics and Taguchi analysis is proposed to evaluate the influence of various geometrical and operating factors on the shear stress in the microfluidic cerebrovascular channel. Furthermore, the non-Newtonian behavior of blood flow is considered to evaluate the shear stress in the microfluidic cerebrovascular channel. The Newtonian and six non-Newtonian fluids models of Carreau, Carreau-Yasuda, Casson, Cross, Ostwald-de Waele, and Herschel-Bulkley are numerically tested under various conditions of the flow rate, width, and height of the channel to find the viscosity influence on the shear stress. The Taguchi analysis consisting of range and variance analyses is applied to the L orthogonal array to evaluate the effect of various factors on shear stress in terms of influence order, range, F value, and percentage contribution. The parameters for the considered six non-Newtonian fluid models are proposed to accurately map the viscosity behavior with shear strain compared to the actual blood flow behavior. The Newtonian, Carreau, and Carreau-Yasuda non-Newtonian fluid models are found accurately with maximum errors between the experimental and numerical shear stress results as 2.17%, 1.30%, and 1.48%, respectively. The shear stress decreases with an increase in the width and height of the channel and a decrease in the viscosity for all flow rates. The porosity is evaluated as a highly influential factor followed by the flow rate, width, and height of the channel in decreasing order based on their effects on the shear stress. The modified shear stress equation is proposed with an accuracy of 0.96 by integrating the effect of porosity in addition to width, height, flow rate, and viscosity. The in-vitro microfluidic cerebrovascular model could be designed and manufactured based on the proposed results on influence order, F value, and percentage contribution of various factors in direction of achieving the in-vivo level shear stress.
脑血管为大脑输送氧气、葡萄糖等必需物质,维持人体的正常运转。然而,作为血管边界的血脑屏障限制了治疗神经紊乱所需药物的进入。脑血管中的流体切应力可能会调节脑血管与大脑之间的药物传递。目前的研究很少涉及到影响脑血管中切应力的各种因素的强度。本文提出了一种计算流体动力学和田口分析的混合方法,以评估各种几何和操作因素对微流控脑血管通道切应力的影响。此外,还考虑了血液流动的非牛顿行为,以评估微流控脑血管通道中的切应力。在各种流速、通道宽度和高度条件下,对牛顿和六种非牛顿流体模型(Carreau、Carreau-Yasuda、Casson、Cross、Ostwald-de Waele 和 Herschel-Bulkley)进行了数值测试,以找到粘度对切应力的影响。应用田口分析中的极差和方差分析,对 L 正交数组进行了分析,根据影响顺序、极差、F 值和百分比贡献,评估了各种因素对切应力的影响。针对所考虑的六种非牛顿流体模型,提出了参数,以便在剪切应变方面更准确地映射粘度行为,与实际血流行为相比。牛顿、Carreau 和 Carreau-Yasuda 非牛顿流体模型的误差最大,实验和数值剪切应力结果之间的最大误差分别为 2.17%、1.30%和 1.48%。对于所有流速,切应力随通道宽度和高度的增加以及粘度的降低而减小。孔隙度被评估为高度有影响的因素,其次是流速、通道宽度和高度,按对切应力的影响降序排列。除了宽度、高度、流速和粘度之外,还通过添加孔隙度的影响,提出了改进的剪切应力方程,其精度为 0.96。可以根据各种因素的影响顺序、F 值和百分比贡献的结果,设计和制造体外微流控脑血管模型,以达到体内水平的剪切应力。