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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 Fl...

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Main Authors: A. Fahmi Huwaidi, M. Noor, Nasrul Hadi, Johari, Adi Azriff, Basri, Xu, Xiao Yun
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2024
Subjects:
R Medicine (General)
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/42891/1/Comparison%20of%20Velocity%20Profiles%20in%20Stented%20Carotid%20Artery%20Bifurcation.pdf
http://umpir.ump.edu.my/id/eprint/42891/
https://doi.org/10.15282/ijame.21.2.2024.16.0879
https://doi.org/10.15282/ijame.21.2.2024.16.0879
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spelling my.ump.umpir.428912024-11-07T06:30:30Z http://umpir.ump.edu.my/id/eprint/42891/ Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements A. Fahmi Huwaidi, M. Noor Nasrul Hadi, Johari Adi Azriff, Basri Xu, Xiao Yun R Medicine (General) TJ Mechanical engineering and machinery 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 obtainedvia 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. Universiti Malaysia Pahang 2024-06-20 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/42891/1/Comparison%20of%20Velocity%20Profiles%20in%20Stented%20Carotid%20Artery%20Bifurcation.pdf A. Fahmi Huwaidi, M. Noor and Nasrul Hadi, Johari and Adi Azriff, Basri 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 (IJAME), 21 (2). pp. 11386-11397. ISSN 2229-8649 (Print); 2180-1606 (Online). (Published) https://doi.org/10.15282/ijame.21.2.2024.16.0879 https://doi.org/10.15282/ijame.21.2.2024.16.0879
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic R Medicine (General)
TJ Mechanical engineering and machinery
spellingShingle R Medicine (General)
TJ Mechanical engineering and machinery
A. Fahmi Huwaidi, M. Noor
Nasrul Hadi, Johari
Adi Azriff, Basri
Xu, Xiao Yun
Comparison of velocity profiles in stented carotid artery bifurcation between computational fluid dynamics and particle image velocimetry measurements
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 obtainedvia 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.
format Article
author A. Fahmi Huwaidi, M. Noor
Nasrul Hadi, Johari
Adi Azriff, Basri
Xu, Xiao Yun
author_facet A. Fahmi Huwaidi, M. Noor
Nasrul Hadi, Johari
Adi Azriff, Basri
Xu, Xiao Yun
author_sort A. Fahmi Huwaidi, M. Noor
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://umpir.ump.edu.my/id/eprint/42891/1/Comparison%20of%20Velocity%20Profiles%20in%20Stented%20Carotid%20Artery%20Bifurcation.pdf
http://umpir.ump.edu.my/id/eprint/42891/
https://doi.org/10.15282/ijame.21.2.2024.16.0879
https://doi.org/10.15282/ijame.21.2.2024.16.0879
_version_ 1822924740278353920
score 13.235796

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