Abstract
Atherosclerosis is one of the major cardiac diseases that affect a huge population all over the world leading to myocardial infarction (heart attack) and apoplexy (Eason G, Noble B, Sneddon IN, Series A, Mathematical and Physical Sciences. 247:529–551, 1955). Early disorder is due to deposits of fatty material or atheroma causing blocked blood flow and plaque formation. If there is a rupture of the plague in the carotid conduit, it typically leads to cessation of neural tissue (stroke) or myocardial infarction. Studying the hemodynamic of the blood vessels can determine the important factors for the local distribution and the development of vascular plaques. Experimental studies of the vascular replicas by idealized models have not been efficient where vessel geometry construction was an issue. Computational fluid dynamics (CFD)-fluent is used to build model to study the hemodynamic, wall shear stress distribution, and streamline patterns through stenosis; the pathophysiological and hemodynamic changes in the walls could provide more estimate on the degree of the disease.
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Dhamodaran, H., Shreeram, B., Li, C. (2023). Hemodynamic Analysis of Bifurcated Artery Using Computational Fluid Dynamics. In: Ram Kumar, C., Karthik, S. (eds) Translating Healthcare Through Intelligent Computational Methods. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-27700-9_13
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DOI: https://doi.org/10.1007/978-3-031-27700-9_13
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