Steady and transient flow CFD simulations in an aorta model of normal and aortic aneurysm subjects

R. Vinoth, D. Kumar, Raviraja Adhikari, S. Vijayapradeep, K. Geetha, R. Ilavarasi, Saravanakumar Mahalingam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The steady and transient flow simulations in an aorta model of normal subject were carried through computational fluid dynamic (CFD) technique. The steady- and transient-state computational fluid dynamic models of patient-specific aortic aneurysm were developed. The computed tomographic (CT) image data was used to generate the geometry of aortic models. The laminar flow was considered for simulating the flow of blood. The haemodynamic parameters like wall pressure, wall shear stress (WSS) and velocity distribution were estimated from the models. The obtained results depicted that the flow in the aorta model of normal subject was stable and aneurysmal aorta model became unstable. It is observed from the steady-state analysis that all the measured parameters from aneurysmal aorta model were higher than those obtained from the aorta model of normal subject. These measured parameters from this study could help the surgeons in assessing the severity of aortic aneurysms.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Sensing and Imaging
EditorsEric Todd Quinto, Nathan Ida, Alfred K. Louis, Ming Jiang
PublisherSpringer Verlag
Pages29-43
Number of pages15
ISBN (Print)9783319916583
DOIs
Publication statusPublished - 01-01-2019
EventInternational Conference on Sensing and Imaging, ICSI 2017 - Chengdu, China
Duration: 05-06-201707-06-2017

Publication series

NameLecture Notes in Electrical Engineering
Volume506
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Sensing and Imaging, ICSI 2017
Country/TerritoryChina
CityChengdu
Period05-06-1707-06-17

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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