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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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42891/ http://umpir.ump.edu.my/id/eprint/42891/1/Comparison%20of%20Velocity%20Profiles%20in%20Stented%20Carotid%20Artery%20Bifurcation.pdf |
| _version_ | 1848826728134213632 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:49:26Z |
| format | Article |
| id | ump-42891 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:49:26Z |
| publishDate | 2024 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | 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_short | 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 |
| topic | R Medicine (General) TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/42891/ http://umpir.ump.edu.my/id/eprint/42891/ http://umpir.ump.edu.my/id/eprint/42891/ http://umpir.ump.edu.my/id/eprint/42891/1/Comparison%20of%20Velocity%20Profiles%20in%20Stented%20Carotid%20Artery%20Bifurcation.pdf |