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<p>This study presents the magnetohydrodynamic Jeffery–Hamel flow of a nanofluid. The flow starts from a point source or sink between converging or diverging channels with stretching or shrinking walls. The Buongiorno nanofluid model is also discussed in this study on account for Brownian motion and thermophoresis. The main objective of the study is to discuss the impact of Brownian motion, thermophoresis, viscous dissipation, Joule heating, and an inclined magnetic field on distinct flow profiles. The governing equations are reduced to nonlinear ordinary differential equations using similarity transformations and then solved numerically using the in-built bvp4c MATLAB solver. The outcomes are matched with earlier study, and a good agreement is noted. This confirms the accuracy of the numerical method. The numerical findings indicate that the magnetic field and wall stretching affect the drag force, heat transfer, and mass transfer in the nanofluid flow. The rate of heat transfer rises when the&#xa0;magnetic parameter, Brownian motion, thermophoresis, and viscous effects increase. Mass transfer depends on the Schmidt number and nanoparticle movement. These outcomes offer better knowledge of the combined repercussions of magnetic and diffusion parameters in Jeffery–Hamel nanofluid flow through converging and diverging channels.</p>

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MHD Jeffery–Hamel flow of a Buongiorno nanofluid in non-parallel channels

  • 期刊论文

  • 发表日期：

    2026年7月31日

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  • Prachi Gupta,
  • Sharad Sinha,
  • Prasun Choudhary,
  • Kavita Jat,
  • Ravi Ratn Gaur,
  • Surekha Jain

摘要

This study presents the magnetohydrodynamic Jeffery–Hamel flow of a nanofluid. The flow starts from a point source or sink between converging or diverging channels with stretching or shrinking walls. The Buongiorno nanofluid model is also discussed in this study on account for Brownian motion and thermophoresis. The main objective of the study is to discuss the impact of Brownian motion, thermophoresis, viscous dissipation, Joule heating, and an inclined magnetic field on distinct flow profiles. The governing equations are reduced to nonlinear ordinary differential equations using similarity transformations and then solved numerically using the in-built bvp4c MATLAB solver. The outcomes are matched with earlier study, and a good agreement is noted. This confirms the accuracy of the numerical method. The numerical findings indicate that the magnetic field and wall stretching affect the drag force, heat transfer, and mass transfer in the nanofluid flow. The rate of heat transfer rises when the magnetic parameter, Brownian motion, thermophoresis, and viscous effects increase. Mass transfer depends on the Schmidt number and nanoparticle movement. These outcomes offer better knowledge of the combined repercussions of magnetic and diffusion parameters in Jeffery–Hamel nanofluid flow through converging and diverging channels.