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A Study of the Blood Flow Using Newtonian and Non-Newtonian Approach in a Stenosed Artery

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Proceedings of International Conference on Trends in Computational and Cognitive Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1169))

Abstract

In the present work, a brief survey has been made on the Newtonian and non-Newtonian approach of blood flow in a step like stenosed artery. A comprehensive theoretical study on the relation between the shear rate and the viscosity of the fluid has been carried out in the case of each non-Newtonian model (e.g. Maxwell fluid model, Casson fluid model, Carreau model, etc.). In this paper, we have considered a backward-facing step for simulation of the blood flow by employing a few of the above-mentioned models. The simulation is performed by using the available CFD package.

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Abbreviations

\(\dot{\gamma _e}\) :

Total strain experienced by the spring

\(\dot{\gamma _v}\) :

Total strain experienced by the dashpot

\(\dot{\gamma }\) :

Strain rate

\(\lambda \) :

Relaxation time

\(\lambda _r\) :

Retardation time

\(\mu \) :

Viscosity of the fluid

\(\mu _0\) :

Zero shear viscosity

\(\mu _\infty \) :

Infinite shear viscosity

\(\mu _p\) :

Polymer viscosity

\(\mu _s\) :

Solvent viscosity

\(\nabla \) :

Vector differential operator

\(\overset{\nabla }{\tau }\) :

Upper convected time derivative of \(\tau \)

\(\rho \) :

Density of the fluid

\(\tau \) :

Stress

\(\tau _0\) :

Yield stress

\(\tau _e\) :

Stress in the spring

\(\tau _v\) :

Stress in the dashpot

f :

Body force of the fluid

G :

Shear modulus

H :

Hematocrit count

K :

Flow consistency index

n :

Flow behaviour index

P :

Pressure

t :

Time of flow

u :

Velocity of the fluid

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Correspondence to Mahesh Udupa .

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Udupa, M., Shankar Narayan, S., Saha, S. (2021). A Study of the Blood Flow Using Newtonian and Non-Newtonian Approach in a Stenosed Artery. In: Singh, P., Gupta, R.K., Ray, K., Bandyopadhyay, A. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1169. Springer, Singapore. https://doi.org/10.1007/978-981-15-5414-8_21

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