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Hemodynamic analysis of bifurcated artery using computational fluid dynamics

  • Hemapriya Dhamodaran
  • , B. Shreeram
  • , C. Li

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    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.

    Original languageEnglish
    Title of host publicationTranslating Healthcare Through Intelligent Computational Methods
    EditorsC. Ram Kumar, S. Karthik
    Place of PublicationCham
    PublisherSpringer
    Pages191-215
    Number of pages25
    Edition1
    ISBN (Electronic)9783031277009
    ISBN (Print)9783031276996, 9783031277023
    DOIs
    Publication statusPublished - 8 Jun 2023

    Publication series

    NameEAI/Springer Innovations in Communication and Computing
    ISSN (Print)2522-8595
    ISSN (Electronic)2522-8609

    Keywords

    • Bifurcated artery
    • Computational fluid dynamics
    • Hemodynamics analysis

    ASJC Scopus subject areas

    • Information Systems
    • Health Informatics
    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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