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<p>The thermally convective flow of hybrid nanofluid on a stretchable porous sheet is studied in the present analysis. The flow system is subjected to a uniform magnetic field in normal direction and the surface of the sheet rotates with an angular velocity that is acted upon by the effects of cross-diffusion (Soret and Dufour) and thermal radiation. Combining the high structural stability with extreme-pressure lubrication properties, a synergistic mixture of silicon dioxide (SiO<sub>2</sub>) and molybdenum disulfide (MoS<sub>2</sub>) nanoparticles (NPs) is added to PAO base oil to improve both thermal performance and friction control. A special class of exponential similarity transformations is introduced which renders the governing multi-dimensional partial differential equations (PDEs) mathematically accessible. They are solved numerically with the powerful MATLAB bvp4c algorithm that solves a coupled system of nonlinear ordinary differential equations (ODEs). The computational framework is well validated by a comprehensive grid independence mesh convergence test up to 250 grid points, ensuring complete mesh independence in the solutions. Numerically, the results of the numerical calculation show that the absolute value of the skin friction coefficient increases by a factor of 172.73% after a threefold increase in the Hartmann number, while the increase in the structural parameter shows the opposite effect and absolute value of the skin friction coefficient decreases by 6.59%. Moreover, an increase in the thermal radiation factor results in a dramatic absolute Nusselt number increase of 28.57%.</p>

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Numerical analysis of SiO2-MoS2/PAO hybrid nanofluid flow over a rotating porous stretching sheet with Soret–Dufour effects and exponential heating

  • 期刊论文

  • 发表日期：

    2026年7月11日

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  • Fuad S. Alduais,
  • Afrah Al-Bossly,
  • Anwar Saeed,
  • Gabriella Bognár

摘要

The thermally convective flow of hybrid nanofluid on a stretchable porous sheet is studied in the present analysis. The flow system is subjected to a uniform magnetic field in normal direction and the surface of the sheet rotates with an angular velocity that is acted upon by the effects of cross-diffusion (Soret and Dufour) and thermal radiation. Combining the high structural stability with extreme-pressure lubrication properties, a synergistic mixture of silicon dioxide (SiO2) and molybdenum disulfide (MoS2) nanoparticles (NPs) is added to PAO base oil to improve both thermal performance and friction control. A special class of exponential similarity transformations is introduced which renders the governing multi-dimensional partial differential equations (PDEs) mathematically accessible. They are solved numerically with the powerful MATLAB bvp4c algorithm that solves a coupled system of nonlinear ordinary differential equations (ODEs). The computational framework is well validated by a comprehensive grid independence mesh convergence test up to 250 grid points, ensuring complete mesh independence in the solutions. Numerically, the results of the numerical calculation show that the absolute value of the skin friction coefficient increases by a factor of 172.73% after a threefold increase in the Hartmann number, while the increase in the structural parameter shows the opposite effect and absolute value of the skin friction coefficient decreases by 6.59%. Moreover, an increase in the thermal radiation factor results in a dramatic absolute Nusselt number increase of 28.57%.