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Unsteady nanofluid flow over a cone featuring mixed convection and variable viscosity
Zubair Mustafa1, T Javed1, T Hayat2
1Department of Mathematics and Statistics, International Islamic University, Islamabad, 44000, Pakistan.
Heliyon
|June 19, 2023
Summary
This study analyzes unsteady nanofluid flow with magnetohydrodynamics (MHD) and mixed convection. Key findings reveal how buoyancy, viscosity, and unsteadiness impact fluid dynamics and heat transfer over a cone.
Area of Science:
- Fluid Dynamics
- Heat Transfer
- Nanotechnology
Background:
- Understanding fluid flow with complex phenomena like MHD and mixed convection is crucial for engineering applications.
- Nanofluids offer enhanced thermal properties, making their flow behavior a significant research area.
- Convective heat and mass transfer over curved surfaces are relevant in various industrial processes.
Purpose of the Study:
- To investigate the unsteady flow of nanofluid over a cone incorporating magnetohydrodynamics (MHD) and mixed convection.
- To analyze the influence of variable viscosity and viscous dissipation on the flow characteristics.
- To determine the effects of key parameters on skin friction and heat/mass flux.
Main Methods:
- The Homotopy Analysis Method (HAM) was employed to solve the governing partial differential equations.
- Numerical computations were performed to analyze the impact of various parameters.
- Graphical and tabular representations were used to illustrate the results.
Main Results:
- Increased buoyancy force parameter leads to higher surface drag in both x and y directions.
- Variable viscosity parameter causes a reduction in tangential and azimuthal velocities.
- Fluid temperature decreases with the unsteady parameter but rises with the Eckert number.
Conclusions:
- The study provides insights into the complex interplay of MHD, mixed convection, and variable properties in unsteady nanofluid flow.
- Results highlight the sensitivity of flow behavior and heat transfer to parameters like buoyancy and viscosity.
- The findings are valuable for optimizing designs in heat exchangers and other thermal systems involving nanofluids.
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