Numerical simulation of blood flow crossing the aortic arch

Rui Hung Kao, Wei Ling Chen, Chung Dann Kan, Tzong Shyng Leu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Aorta provides as the passageway for blood in supplying nutrients to human body is the vital organ for human. Whenever, aorta has pathologic change might be life threatening emergency due to massive blood loss. The most common encountering conditions are aortic aneurysm rupture and acute aortic dissection and the most lesions sites are located near the aortic arch. The etiology for these pathologic changes is closely related to the intra-aortic high-speed, high-pressure pulsatile blood flow. Study the blood flow and the hemodynamic change might help us to understand the pathologic change and further prevent its happening. Therefore, we tried to use the computational fluid dynamics methodology to understand the flow dynamics in the aorta crossing the aortic arch. The axial velocity profiles and secondary flow vectors were plotted at two time points during systolic phase. The primary axial flow velocity skewed from medial side of aorta to lateral side after pass through aortic arch and the secondary flow developed as counter-rotating vortices in the middle plane.

原文English
主出版物標題ICOT 2013 - 1st International Conference on Orange Technologies
頁面119-122
頁數4
DOIs
出版狀態Published - 2013 七月 12
事件1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan
持續時間: 2013 三月 122013 三月 16

出版系列

名字ICOT 2013 - 1st International Conference on Orange Technologies

Other

Other1st International Conference on Orange Technologies, ICOT 2013
國家Taiwan
城市Tainan
期間13-03-1213-03-16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • 引用此

    Kao, R. H., Chen, W. L., Kan, C. D., & Leu, T. S. (2013). Numerical simulation of blood flow crossing the aortic arch. 於 ICOT 2013 - 1st International Conference on Orange Technologies (頁 119-122). [6521172] (ICOT 2013 - 1st International Conference on Orange Technologies). https://doi.org/10.1109/ICOT.2013.6521172