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article · International Journal of Thermofluids

Mathematical model analysis for hydromagnetic flow of micropolar nanofluid with heat and mass transfer over inclined surface

202318 citationsOpen accessDebre Tabor University

In plain language

This research analyses a mathematical model to examine how thermophysical conditions affect the behaviour of a micropolar nanofluid flowing over an inclined, exponentially stretching surface. The physical process is represented through partial differential equations, which are transformed into dimensionless ordinary differential equations and solved using an optimal homotopy analysis method. The model evaluates how changes in continuous parameters influence linear momentum, angular momentum, heat transfer, and mass diffusion. Findings demonstrate that heat exchange rates rise alongside higher values of the micropolar parameter, Soret number, and buoyancy forces. Additionally, wall shear stress intensifies with increases in the micropolar parameter, Dufour number, Soret number, buoyancy, heat release, chemical reaction, and thermophoresis. Meanwhile, mass transfer rates, represented by the Sherwood number, increase with stronger surface stretching, medium porosity, Dufour number, chemical reaction, buoyancy, heat release, and Schmidt number.

Key takeaways

  • Heat exchange rates increase when the micropolar parameter, Soret number, and buoyancy forces are raised.
  • The rate of couple stress grows with higher micropolar values, surface shrinking, inclination angle, and heat sink parameters.
  • Wall shear stress is strengthened by increases in the micropolar parameter, Dufour number, Soret number, buoyancy forces, heat release, chemical reaction, and thermophoresis effects.
  • Mass transfer rates grow with larger values for surface stretching, medium porosity, Dufour number, chemical reaction, buoyancy forces, heat release, and Schmidt number.

Why it matters

Understanding how micropolar nanofluids interact with inclined surfaces under complex magnetic, thermal, and chemical conditions helps scientists predict fluid behaviour, drag, and energy transfer. These mathematical models provide theoretical insights into the precise factors that control heat dissipation and material diffusion, supporting foundational knowledge in fluid mechanics and thermal engineering.

Commercialisation angle

The abstract does not indicate an application pathway.

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Abstract

In this study, a mathematical model analysis is made to figure out the impacts of relevant thermophysical effects on the rates of micropolar nanofluid transport phenomena near an inclined exponentially stretching surface. The flow phenomena are described mathematically using partial differential equations and simplified to dimensionless ordinary differential forms via suitable transformation variables. The resulting nonlinear coupled differential equations are then solved by using the optimal homotopy analysis method and the validity of the method is verified in convergence and comparative analysis. The rates of linear momentum, angular momentum, heat exchange and mass diffusion characteristics are investigated against continuous variations of pertinent parameters. Graphical elucidations are preferred to present the results of the study in detail. It was found that the rate of heat exchange is intensified with increasing values of micropolar parameter, Soret number and forces of buoyancy. Also, the rate of couple stress grows for higher estimation of micropolar parameter, surface shrinking, angle of inclination and heat sink parameter values. Further, the wall shear stress is strengthened for increasing values of the micropolar parameter, Dofour number, Soret number, buoyancy forces, heat release, chemical reaction and thermophoresis effects. On the other hand, the Sherwood number is enlarged with higher values of surface stretching parameter, medium porosity, Dufour number, chemical reaction, forces of buoyancy, heat release and Schmidt number.

Research topics

  • Nanofluid Flow and Heat Transfer
  • Heat Transfer Mechanisms
  • Heat Transfer and Optimization

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DOI: 10.1016/j.ijft.2023.100541

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