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Journal of Computational and Applied Research in Mechanical Engineering - JCARME، جلد ۱۰، شماره ۱، صفحات ۱۸۳-۱۹۹
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عنوان انگلیسی The effect of turbulence model on predicting the development and progression of coronary artery atherosclerosis
چکیده انگلیسی مقاله A severe case of stenosis in coronary arteries results in turbulence in the blood flow which may lead to the formation or progression of atherosclerosis. This study investigated the turbulent blood flow in a coronary artery with rigid walls, as well as 80% single and double stenoses on blood flow. A finite element-based software package, ADINA 8.8, was employed to model the blood flow. The hemodynamic parameters of blood, such as the Oscillatory Shear Index (OSI) and the Mean Wall Shear Stress (Mean WSS) were obtained by both k-ε and k-ω turbulence models and then compared. According to the results, the negative pressure predicted by the k-ω turbulence model was several times greater than that by the k-ε turbulence model for both single and double stenoses. This, in turn, leads to the collapse of artery walls and irreparable injuries to the downstream extremity. Furthermore, the k-ω model predicted a larger reverse flow region in the post-stenotic region. In other words, the k-ω turbulence model predicts a larger part of the post-stenotic region to be prone to disease and the k-ε turbulence model predicted a higher rate of plaque growth. Moreover, the k-ω model predicted a much more intense reverse flow region than the k-ε model, which itself can lead to blood pressure disease.
کلیدواژه‌های انگلیسی مقاله Oscillatory shear index, Time-averaged wall shear stress, Axial pressure drop, Shear stress
نویسندگان مقاله Bahador Sharifzadeh |
Department of mechanical engineering, Najafabad branch, Islamic Azad University, Najafabad, Iran.

Rasool Kalbasi |
Department of mechanical engineering, Najafabad branch, Islamic Azad University, Najafabad, Iran.

Mehdi Jahangiri |
Department of Mechanical Engineering, Faculty of Technical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord 88137-33395, Iran

نشانی اینترنتی https://jcarme.sru.ac.ir/article_1177_7feee34ff41d6fdff5746a9d96c35a49.pdf
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