Analyzing Combined Effects of Inclination Angle Stretching Sheet with Porous Media On Fe3O4+C2H6O2 Nanofluid Flow

The angle of inclination of a porous stretching sheet has a significant impact on fluid flow and heat transfer characteristics. It alters boundary layer thickness, skin friction, and heat transfer rate, playing a crucial role in various engineering applications such as cooling systems, material processing, and aerodynamics. The goal of this research is to examine how the inclination angle of the stretching sheet and the intensity of the MF impact the flow and heat transfer properties of a nanofluid. The nanofluid under consideration is a mixture of Fe3O4 nanoparticles and C2H6O2, which is a common heat transfer fluid. The Hartmann number (Ha) serves as a crucial dimensionless parameter, highlighting the magnetic field's influence relative to viscous forces in the fluid. The numerical approach, utilizing the Boundary Element Method (BEM) in MATLAB software, allows for detailed analysis and simulation. The objective is to explore how altering the IA of the stretching sheet and varying the magnetic field strength impact fluid dynamics and thermal characteristics. Through numerical simulations and potential experimental validations, the study aims to provide insights into optimizing these parameters for enhanced heat transfer applications. The research intends to contribute to the understanding of the interplay between these factors, elucidating their combined effects on heat transfer efficiency, boundary layer behavior, and velocity distribution within the nanofluid flow. By analyzing these interactions, researchers seek to identify optimal conditions for maximizing heat transfer rates, crucial for various engineering and industrial applications where efficient heat dissipation or transfer is paramount. This comprehensive analysis bridges theoretical considerations with practical implications, offering valuable insights for designing and optimizing systems involving nanofluid under magnetic field influence and porous surfaces.

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Publication Details

Journal
Journal of Advanced Research in Numerical Heat Transfer
Published
2025-05-06
DOI
https://doi.org/10.37934/arnht.35.1.6887
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
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article

Analyzing Combined Effects of Inclination Angle Stretching Sheet with Porous Media On Fe3O4+C2H6O2 Nanofluid Flow

Tumbanath Samantara, Debasis Mishra
Journal of Advanced Research in Numerical Heat Transfer
Nanofluid Flow and Heat Transfer
article

Analyzing Combined Effects of Inclination Angle Stretching Sheet with Porous Media On Fe3O4+C2H6O2 Nanofluid Flow

Tumbanath Samantara, Debasis Mishra
article en

Abstract

The angle of inclination of a porous stretching sheet has a significant impact on fluid flow and heat transfer characteristics. It alters boundary layer thickness, skin friction, and heat transfer rate, playing a crucial role in various engineering applications such as cooling systems, material processing, and aerodynamics. The goal of this research is to examine how the inclination angle of the stretching sheet and the intensity of the MF impact the flow and heat transfer properties of a nanofluid. The nanofluid under consideration is a mixture of Fe3O4 nanoparticles and C2H6O2, which is a common heat transfer fluid. The Hartmann number (Ha) serves as a crucial dimensionless parameter, highlighting the magnetic field's influence relative to viscous forces in the fluid. The numerical approach, utilizing the Boundary Element Method (BEM) in MATLAB software, allows for detailed analysis and simulation. The objective is to explore how altering the IA of the stretching sheet and varying the magnetic field strength impact fluid dynamics and thermal characteristics. Through numerical simulations and potential experimental validations, the study aims to provide insights into optimizing these parameters for enhanced heat transfer applications. The research intends to contribute to the understanding of the interplay between these factors, elucidating their combined effects on heat transfer efficiency, boundary layer behavior, and velocity distribution within the nanofluid flow. By analyzing these interactions, researchers seek to identify optimal conditions for maximizing heat transfer rates, crucial for various engineering and industrial applications where efficient heat dissipation or transfer is paramount. This comprehensive analysis bridges theoretical considerations with practical implications, offering valuable insights for designing and optimizing systems involving nanofluid under magnetic field influence and porous surfaces.

Journal of Advanced Research in Numerical Heat TransferVol. 35(1)
Centurion University of Technology and Management (IN)
Openalex Percentile: Top 91%
Nanofluid Flow and Heat Transfer
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