Application of Genetic Algorithm in Optimization of the Carotid Artery Bifurcation to Minimize Risk of Atherosclerotic Plaque Formation in Turbulent Flow

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 274

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شناسه ملی سند علمی:

ISME27_739

تاریخ نمایه سازی: 8 مرداد 1398

چکیده مقاله:

All the nutrients that different organs of a human body need, such as food and oxygen, are supplied through the blood and countless blood arteries. This is a circulatory system with a large number of bifurcations so that even small members of the body to be involved in the process of feeding. However there are too many bifurcations in the body, some of them are of great importance. One of those cases is the carotid artery bifurcation, which receives blood directly from the aorta - through the neck – and delivers it to the head’s outer and inner (i.e. the brain) parts. Depending on the physiology of a human body, the internal carotid artery can be created at different angles and widths. This difference in geometry, can affect flow pattern of blood and may result to conditions for which the risk of deposition of cholesterol and suspended particles is high. The geometry of carotid bifurcation based on magnetic resonance images technology among several volunteers reveals that it can be variable in a great extent - from minimum to maximum with an average data that is called base geometry . In this paper, a parametric geometry is defined for bifurcation ofcarotid artery in order to arbitrarily change the geometry and study its effect on flow variables. For a transient turbulent flow, it has been shown that alow risk dimension is for internal carotid angle smaller than the base value (i.e. 29.0°). The optimum value is discovered to be 22.2° and9.2mm, respectively, for internal carotid angle and sinus bubble width. A criterion to show the risk of plaque formation is selected to be artery wall shear stress that has been shown for optimal geometry it is 7 and 9 percent higher than that for minimumand maximum geometries, respectively.

کلیدواژه ها:

Carotid artery ، Parametric geometry ، Genetic algorithm ، Low Reynolds turbulent flow

نویسندگان

Amir Bayatmako

Islamic Azad University, Jolfa International Branch

Muhammad Ali Ashjari

Islamic Azad University, Jolfa International Branch