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Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements

Cardiovascular disease remains the leading cause of morbidity and mortality globally, necessitating extensive research into the hemodynamics of blood flow under pathological conditions, such as atherosclerosis in carotid arteries. In vitro studies, particularly Computational Fluid Dynamics (CFD), ar...

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Main Authors: M. Noor, A. Fahmi Huwaidi, Johari, Nasrul Hadi, Basri, Adi Azriff, Xu, Xiao Yun
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2024
Online Access:http://psasir.upm.edu.my/id/eprint/113486/1/113486.pdf
http://psasir.upm.edu.my/id/eprint/113486/
https://journal.ump.edu.my/ijame/article/view/10358
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spelling my.upm.eprints.1134862024-11-26T01:34:00Z http://psasir.upm.edu.my/id/eprint/113486/ Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements M. Noor, A. Fahmi Huwaidi Johari, Nasrul Hadi Basri, Adi Azriff Xu, Xiao Yun Cardiovascular disease remains the leading cause of morbidity and mortality globally, necessitating extensive research into the hemodynamics of blood flow under pathological conditions, such as atherosclerosis in carotid arteries. In vitro studies, particularly Computational Fluid Dynamics (CFD), are crucial for advancing our understanding of arterial blood flow and predicting pathological states. However, the accuracy of CFD simulations relies heavily on their validation against empirical data, such as those obtained from Particle Image Velocimetry (PIV). This study focuses on the comparative analysis of CFD predictions and PIV measurements of blood velocity vectors in a stented carotid artery bifurcation model under steady flow conditions derived from patient-specific data. The methodology involves simulating blood flow within a CFD framework and conducting PIV experiments using a blood-mimicking fluid seeded with particles in a carotid artery bifurcation phantom. The results indicate a reasonable agreement between the axial velocity vector profiles obtained via PIV and those predicted by CFD, with CFD predicting 10% higher than that recorded by PIV, especially in terms of recirculation areas and velocity values, despite some discrepancies in the velocity contours distribution, highlighting potential differences in how each method captures flow separation or recirculation areas. Despite some discrepancies in velocity contour distribution, which highlight potential differences in capturing flow separation or recirculation areas, the findings confirm that CFD simulations can effectively replicate the hemodynamics observed in carotid arteries and potentially other arterial segments. This study emphasizes the importance of integrating CFD simulations with experimental PIV data to validate and refine our understanding of arterial flow dynamics, significantly contributing to cardiovascular research and the development of interventions for arterial diseases. © 2024 The Author(s). Published by Universiti Malaysia Pahang Al-Sultan Abdullah Publishing. This is an open access article under the CC BY-NC 4.0 International license Universiti Malaysia Pahang 2024 Article PeerReviewed text en cc_by_nc_4 http://psasir.upm.edu.my/id/eprint/113486/1/113486.pdf M. Noor, A. Fahmi Huwaidi and Johari, Nasrul Hadi and Basri, Adi Azriff and Xu, Xiao Yun (2024) Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements. International Journal of Automotive and Mechanical Engineering, 21 (2). pp. 11386-11397. ISSN 2229-8649; eISSN: 2180-1606 https://journal.ump.edu.my/ijame/article/view/10358 10.15282/ijame.21.2.2024.16.0879
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Cardiovascular disease remains the leading cause of morbidity and mortality globally, necessitating extensive research into the hemodynamics of blood flow under pathological conditions, such as atherosclerosis in carotid arteries. In vitro studies, particularly Computational Fluid Dynamics (CFD), are crucial for advancing our understanding of arterial blood flow and predicting pathological states. However, the accuracy of CFD simulations relies heavily on their validation against empirical data, such as those obtained from Particle Image Velocimetry (PIV). This study focuses on the comparative analysis of CFD predictions and PIV measurements of blood velocity vectors in a stented carotid artery bifurcation model under steady flow conditions derived from patient-specific data. The methodology involves simulating blood flow within a CFD framework and conducting PIV experiments using a blood-mimicking fluid seeded with particles in a carotid artery bifurcation phantom. The results indicate a reasonable agreement between the axial velocity vector profiles obtained via PIV and those predicted by CFD, with CFD predicting 10% higher than that recorded by PIV, especially in terms of recirculation areas and velocity values, despite some discrepancies in the velocity contours distribution, highlighting potential differences in how each method captures flow separation or recirculation areas. Despite some discrepancies in velocity contour distribution, which highlight potential differences in capturing flow separation or recirculation areas, the findings confirm that CFD simulations can effectively replicate the hemodynamics observed in carotid arteries and potentially other arterial segments. This study emphasizes the importance of integrating CFD simulations with experimental PIV data to validate and refine our understanding of arterial flow dynamics, significantly contributing to cardiovascular research and the development of interventions for arterial diseases. © 2024 The Author(s). Published by Universiti Malaysia Pahang Al-Sultan Abdullah Publishing. This is an open access article under the CC BY-NC 4.0 International license
format Article
author M. Noor, A. Fahmi Huwaidi
Johari, Nasrul Hadi
Basri, Adi Azriff
Xu, Xiao Yun
spellingShingle M. Noor, A. Fahmi Huwaidi
Johari, Nasrul Hadi
Basri, Adi Azriff
Xu, Xiao Yun
Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
author_facet M. Noor, A. Fahmi Huwaidi
Johari, Nasrul Hadi
Basri, Adi Azriff
Xu, Xiao Yun
author_sort M. Noor, A. Fahmi Huwaidi
title Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
title_short Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
title_full Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
title_fullStr Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
title_full_unstemmed Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
title_sort comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
publisher Universiti Malaysia Pahang
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/113486/1/113486.pdf
http://psasir.upm.edu.my/id/eprint/113486/
https://journal.ump.edu.my/ijame/article/view/10358
_version_ 1817844643894657024
score 13.223943

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