Blood Flow of Au-Nanofluid Using Sisko Model in Stenotic Artery with Porous Walls and Viscous Dissipation Effect

Nanofluids are extremely useful to investigators due to their greater heat transfer rates, which have significant applications in multiple industries. The primary objective of this article is to look into the effect of viscous dissipation in Sisko nano liquid flow with gold Au nanoparticles on a porous stenosis artery. Heat transfer properties were explored. Blood was utilized as a base fluid for nanoparticles. To renovate the governing nonlinear PDEs into nonlinear ODEs, appropriate transformations were used. The bvp4c-based shooting method, via MATLAB, was used to determine the numerical results of the nonlinear ODEs. Furthermore, flow forecasts for each physical quantity were explored. To demonstrate the physical influences of flow constraints versus presumed flow fields, physical explanations were used. The findings demonstrated that the velocity contour improved as the volume fraction, curvature, power law index, and material parameter upsurged. For the Prandtl number, the volume fraction of nanoparticles, the index of the power law, and the temperature profile of the nanofluid declined. Furthermore, the drag force and transfer of the heat were also investigated as explanations for influences on blood flow. Further, the Nusselt number reduced and the drag force enhanced as the curvature parameter values increased. The modeling and numerical solutions play an impressive role in predicting the cause of atherosclerosis.

Automated summary

This article investigates the effect of viscous dissipation on Sisko nano liquid flow with gold Au nanoparticles in a porous stenosis artery. Heat transfer properties are explored using blood as the base fluid for nanoparticles. Nonlinear PDEs are transformed into nonlinear ODEs, and numerical results are obtained using the bvp4c-based shooting method in MATLAB. Flow forecasts and physical explanations are provided to demonstrate the physical influences of flow constraints. The findings show that the velocity contour improves with increasing volume fraction, curvature, power law index, and material parameter. The Prandtl number, volume fraction of nanoparticles, power law index, and temperature profile of the nanofluid decrease. The drag force and heat transfer are also investigated as explanations for influences on blood flow. Additionally, the Nusselt number decreases and the drag force increases with higher curvature parameter values. The modeling and numerical solutions play an important role in predicting the cause of atherosclerosis.