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<p>The present investigation examines the thermal transfer behavior of a Casson hybrid nanofluid (Au–Cu/blood) flowing through a stenosed artery, incorporating key physical effects such as viscous dissipation, permeability, and linear thermal radiation. Unlike prior studies limited to Newtonian fluids or single nanoparticles, the proposed model captures the shear-dependent, non-Newtonian behavior of blood and employs a thermally efficient hybrid nanoparticle suspension, enhancing heat transfer characteristics. A significant novelty of this work is the application of Response Surface Methodology (RSM) specifically to the skin friction coefficient, enabling the development of accurate regression models that correlate governing parameters with flow resistance. The RSM-based models demonstrate excellent predictive performance, with a coefficient of determination (R<sup>2</sup>) exceeding 99.99%, confirming high reliability. Sensitivity analysis reveals that the permeability parameter exerts the most pronounced influence on skin friction, highlighting key physical mechanisms controlling flow behavior. This integrated approach, combining a physiologically realistic arterial flow model with advanced statistical optimization, provides a robust framework for understanding flow resistance and thermal regulation in complex arterial systems, with potential applications in biomedical and engineering domains. This approach may be used to heat exchangers, microfluidic devices, and bio-inspired cooling technologies that use non-Newtonian nanofluids in porous and thermally complicated settings.</p>

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Response surface and sensitivity analysis of entropy generation in Casson hybrid nanofluid flow through a stenosed artery

  • 期刊论文

  • 发表日期：

    2025年11月18日

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  • Sibhi Chakravarthi Ramamoorthi,
  • P. Bala Anki Reddy,
  • Kakelli Anil Kumar

摘要

The present investigation examines the thermal transfer behavior of a Casson hybrid nanofluid (Au–Cu/blood) flowing through a stenosed artery, incorporating key physical effects such as viscous dissipation, permeability, and linear thermal radiation. Unlike prior studies limited to Newtonian fluids or single nanoparticles, the proposed model captures the shear-dependent, non-Newtonian behavior of blood and employs a thermally efficient hybrid nanoparticle suspension, enhancing heat transfer characteristics. A significant novelty of this work is the application of Response Surface Methodology (RSM) specifically to the skin friction coefficient, enabling the development of accurate regression models that correlate governing parameters with flow resistance. The RSM-based models demonstrate excellent predictive performance, with a coefficient of determination (R2) exceeding 99.99%, confirming high reliability. Sensitivity analysis reveals that the permeability parameter exerts the most pronounced influence on skin friction, highlighting key physical mechanisms controlling flow behavior. This integrated approach, combining a physiologically realistic arterial flow model with advanced statistical optimization, provides a robust framework for understanding flow resistance and thermal regulation in complex arterial systems, with potential applications in biomedical and engineering domains. This approach may be used to heat exchangers, microfluidic devices, and bio-inspired cooling technologies that use non-Newtonian nanofluids in porous and thermally complicated settings.