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<p>In the present era, the investigation of heat and mass transfer phenomena has gotten the attention of various scientists due to its noteworthy application in engineering and technology. In this research paper, the porous stretching sheet is considered to examine the heat and mass transfer features of copper and alumina nanoparticles MHD micropolar flow of copper and alumina nanofluid with slip constraints. The flow is assumed with heat and mass flux constraints. In addition to this, the flow is examined with the effects of Brownian motion, thermophoresis, thermal radiation, chemical reactivity, and viscous dissipation. The computational data have been produced by using MATLAB built-in software in Mathematica 12. To obtain the dimensionless ODEs, suitable similarity transformations are used. A comparison table is added, which shows an excellent degree of convergence with previous published results. Some significant findings that are achieved from this study are that the temperature and heat transfer rate of hybrid nanofluid increase for escalating quantities of Eckert number, thermal radiation, and thermophoresis parameter. Also, the chemical reactivity factor causes a decrease in concentration profile and mass transfer rate.</p>

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Numerical analysis of MHD micropolar hybrid nanofluid flow past a porous stretching sheet with slips and convective boundary conditions

  • 期刊论文

  • 发表日期：

    2025年4月21日

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  • Zawar Hussain,
  • Sarfaraz Kamangar,
  • Amir Ibrahim Ali Arabi

摘要

In the present era, the investigation of heat and mass transfer phenomena has gotten the attention of various scientists due to its noteworthy application in engineering and technology. In this research paper, the porous stretching sheet is considered to examine the heat and mass transfer features of copper and alumina nanoparticles MHD micropolar flow of copper and alumina nanofluid with slip constraints. The flow is assumed with heat and mass flux constraints. In addition to this, the flow is examined with the effects of Brownian motion, thermophoresis, thermal radiation, chemical reactivity, and viscous dissipation. The computational data have been produced by using MATLAB built-in software in Mathematica 12. To obtain the dimensionless ODEs, suitable similarity transformations are used. A comparison table is added, which shows an excellent degree of convergence with previous published results. Some significant findings that are achieved from this study are that the temperature and heat transfer rate of hybrid nanofluid increase for escalating quantities of Eckert number, thermal radiation, and thermophoresis parameter. Also, the chemical reactivity factor causes a decrease in concentration profile and mass transfer rate.