<p>The bioconvective flow of hybrid nanofluids has garnered significant attention due to their enhanced heat and mass transfer capabilities, particularly in biomedical and healthcare applications. This study examines the unsteady bioconvective flow of Casson hybrid nanofluid (SWCNT-MWCNT/Blood) in a squeezing horizontal channel influenced by an inclined, time-dependent magnetic field, quadratic thermal radiation, and first-order chemical reaction. Using similarity transformations, the governing nonlinear partial differential equations (PDEs) are reduced to ordinary differential equations (ODEs) and solved semi-analytically via the homotopy analysis method (HAM). Numerous emergent parameters affect flow phenomena, which are shown graphically. The study reveals that the thermal profile within the channel escalates with a boost in the magnetic parameter, inclination angle, and nanoparticle volume percentage increase. The heat transmission rate is positively correlated with the volume fraction of nanoparticles and thermal radiation. Specifically, when radiation parameter takes the value from 1 to 2, the hear transfer rate improves approximately <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="44345_2025_24_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="23" /> </InlineMediaObject> <EquationSource Format="TEX">\(6\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>6</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>. Similarly, increasing the nanoparticle volume fraction from 0.01 to 0.1 enhances the heat transfer rate by around <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="44345_2025_24_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="31" /> </InlineMediaObject> <EquationSource Format="TEX">\(38\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>38</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>. Blade-shaped nanoparticles outperform spherical and platelet-shaped counterparts by improving heat transfer efficiency. Augmenting the Schmidt number and chemical reaction parameter intensifies the mass transfer in the flow process. This mathematical model is useful in studying the delivery of drugs in the human body and also it has wide applications in biomedical and healthcare industries.</p>

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Shape-driven heat transfer analysis in non-linear radiative casson bioconvective hybrid nanofluid flow in squeezing channel with inclined MHD

  • Seetalsmita Samal,
  • Surender Ontela

摘要

The bioconvective flow of hybrid nanofluids has garnered significant attention due to their enhanced heat and mass transfer capabilities, particularly in biomedical and healthcare applications. This study examines the unsteady bioconvective flow of Casson hybrid nanofluid (SWCNT-MWCNT/Blood) in a squeezing horizontal channel influenced by an inclined, time-dependent magnetic field, quadratic thermal radiation, and first-order chemical reaction. Using similarity transformations, the governing nonlinear partial differential equations (PDEs) are reduced to ordinary differential equations (ODEs) and solved semi-analytically via the homotopy analysis method (HAM). Numerous emergent parameters affect flow phenomena, which are shown graphically. The study reveals that the thermal profile within the channel escalates with a boost in the magnetic parameter, inclination angle, and nanoparticle volume percentage increase. The heat transmission rate is positively correlated with the volume fraction of nanoparticles and thermal radiation. Specifically, when radiation parameter takes the value from 1 to 2, the hear transfer rate improves approximately \(6\%\) 6 % . Similarly, increasing the nanoparticle volume fraction from 0.01 to 0.1 enhances the heat transfer rate by around \(38\%\) 38 % . Blade-shaped nanoparticles outperform spherical and platelet-shaped counterparts by improving heat transfer efficiency. Augmenting the Schmidt number and chemical reaction parameter intensifies the mass transfer in the flow process. This mathematical model is useful in studying the delivery of drugs in the human body and also it has wide applications in biomedical and healthcare industries.