Haemodynamics behaviour in normal and stenosed renal artery using computational fluid dynamics

Shah Mohammed Abdul Khader, Adi Azriff, Cherian Johny, Raghuvir Pai, Mohammad Zuber, Kamarul Arifin Ahmad, Zanuldin Ahmad

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Atherosclerosis is a condition of plaque/fatty deposit on the walls of the artery resulting in obstruction to blood flow. Several researchers have studied the hemodynamic behaviour on patient-specific models. The aim of present study is to investigate the hemodynamic behaviour in 3D models of an idealistic abdominal aorta with renal branches based on (Computed Tomography) CT image. A new technique is used to develop the idealistic model from the single slice. Further, two more 3D models are generated by including stenosis in one renal branch and both renal branches separately. The investigation is focused on haemodynamics parameters such as flow field, pressure and Wall Shear Stress (WSS). The flow variables are monitored throughout pulsatile flow subjected to both resting and exercise cases. The obtained results from this fundamental study agree well with the available literature and can be useful for further studies.

Original languageEnglish
Pages (from-to)80-90
Number of pages11
JournalJournal of Advanced Research in Fluid Mechanics and Thermal Sciences
Volume51
Issue number1
Publication statusPublished - 01-11-2018

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Hemodynamics
Computational fluid dynamics
Pulsatile flow
Tomography
Shear stress
Flow fields
Blood
Deposits

All Science Journal Classification (ASJC) codes

  • Fluid Flow and Transfer Processes

Cite this

Khader, Shah Mohammed Abdul ; Azriff, Adi ; Johny, Cherian ; Pai, Raghuvir ; Zuber, Mohammad ; Ahmad, Kamarul Arifin ; Ahmad, Zanuldin. / Haemodynamics behaviour in normal and stenosed renal artery using computational fluid dynamics. In: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 2018 ; Vol. 51, No. 1. pp. 80-90.
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Haemodynamics behaviour in normal and stenosed renal artery using computational fluid dynamics. / Khader, Shah Mohammed Abdul; Azriff, Adi; Johny, Cherian; Pai, Raghuvir; Zuber, Mohammad; Ahmad, Kamarul Arifin; Ahmad, Zanuldin.

In: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, Vol. 51, No. 1, 01.11.2018, p. 80-90.

Research output: Contribution to journalArticle

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