What question did this study set out to answer?

To investigate the hemodynamic characteristics of an electro-magnetohydrodynamically modulated ternary hybrid nanofluid (Ag-GO-ZrO2/blood) flowing through a curved, tapered, and stenosed artery.

November 3, 2025International Journal of Numerical Methods for Heat &amp Fluid Flow

ANN-based computational framework for EMHD modulated ternary hybrid nanofluid (Ag-GO-ZrO2/blood) flow in a curved atherosclerotic artery

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To investigate the hemodynamic characteristics of an electro-magnetohydrodynamically modulated ternary hybrid nanofluid (Ag-GO-ZrO2/blood) flowing through a curved, tapered, and stenosed artery.
Formulated mathematical governing equations for Ag-GO-ZrO2/blood flow across diverging, nontapered, and converging curved arterial geometries under axial electric and azimuthal magnetic fields.
Simplified equations via mild-stenosis approximations and nondimensional scaling, obtaining analytical solutions with the DSolve module in Mathematica 12.3.
Implemented an artificial neural network (ANN) framework to predict wall shear stress (WSS) distributions across varying arterial configurations.
Blood flow velocity increased with higher ternary hybrid nanoparticle volume fraction but decreased as the ZrO2 volume fraction alone was elevated.
Wall shear stress and pressure gradient values were highest in diverging arteries relative to nontapered and converging arterial geometries.
The ANN model predicted wall shear stress with 99.92% testing and 99.37% validation accuracy for hybrid nanofluids, and 99.24% testing and 99.27% validation accuracy for ternary hybrid nanofluids.

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Implication

Computational study reveals hemodynamic alterations and accurate neural predictions for hybrid nanofluids in stenosed arteries, highlighting potential applications in targeted drug delivery.

Cite This Study

Singh et al. (2025) studied this question.

synapsesocial.com/papers/6aa5213ad3d41ccc68921951 https://doi.org/10.1108/hff-07-2025-0543

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Implication

Computational study reveals hemodynamic alterations and accurate neural predictions for hybrid nanofluids in stenosed arteries, highlighting potential applications in targeted drug delivery.

ANN-based computational framework for EMHD modulated ternary hybrid nanofluid (Ag-GO-ZrO2/blood) flow in a curved atherosclerotic artery

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Discussion

Implication

Cite This Study

ANN-based computational framework for EMHD modulated ternary hybrid nanofluid (Ag-GO-ZrO2/blood) flow in a curved atherosclerotic artery

Key Points

Discussion

Implication

Cite This Study

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