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<p>This study examines the transport phenomenon of slip-dependent Williamson hybrid nanofluid flow over a wedge modulated by electric and magnetic fields. The electroosmotic and zeta potential effects, along with ohmic heating, are explored. The hybrid nanoparticles (AA7075 + AA7072), which emerged in methanol, are considered to increase the thermal conductivity. The computations are performed using the bvp4c inbuilt function in MATLAB software. The response surface methodology using central composite design is implemented in order to study the effect of several parameters on flow and heat transfer. The <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14880_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="21" /> </InlineMediaObject> <EquationSource Format="TEX">\(R^2\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>R</mi> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation> values for skin friction coefficient and Nusselt number are 99.96% and 100%, respectively. A reduction in fluid velocity is observed for increasing the Weissenberg number, while a reverse trend is followed by the temperature within the boundary layer. The heat transfer is found to be reduced with increasing nanoparticle volume fraction. Furthermore, the sensitivity analysis depicts that the nanoparticle volume fraction exerts the greatest effect on the skin friction coefficient and Nusselt number.</p>

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Electroosmotic modulation of slip-driven Williamson hybrid nanofluid: a sensitivity analysis

  • 期刊论文

  • 发表日期：

    2025年10月22日

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  • Renu Jindal,
  • Kushal Sharma

摘要

This study examines the transport phenomenon of slip-dependent Williamson hybrid nanofluid flow over a wedge modulated by electric and magnetic fields. The electroosmotic and zeta potential effects, along with ohmic heating, are explored. The hybrid nanoparticles (AA7075 + AA7072), which emerged in methanol, are considered to increase the thermal conductivity. The computations are performed using the bvp4c inbuilt function in MATLAB software. The response surface methodology using central composite design is implemented in order to study the effect of several parameters on flow and heat transfer. The \(R^2\) R 2 values for skin friction coefficient and Nusselt number are 99.96% and 100%, respectively. A reduction in fluid velocity is observed for increasing the Weissenberg number, while a reverse trend is followed by the temperature within the boundary layer. The heat transfer is found to be reduced with increasing nanoparticle volume fraction. Furthermore, the sensitivity analysis depicts that the nanoparticle volume fraction exerts the greatest effect on the skin friction coefficient and Nusselt number.