A dissipative and entropy-optimized MHD nanomaterial mixed convective flow for engineering applications

Area of Science:

• Fluid dynamics
• Nanotechnology
• Heat transfer

Background:

• Nanomaterials are crucial in diverse industrial applications, including nuclear energy, manufacturing, and medicine.
• Understanding nanofluid behavior is essential for optimizing these applications.
• Magnetohydrodynamics (MHD) and the Darcy-Forchheimer model are key to analyzing such flows.

Purpose of the Study:

• To investigate the magnetohydrodynamic flow of a nanofluid over an inclined surface.
• To analyze the effects of radiation, magnetic fields, dissipation, and entropy generation.
• To apply the Buongiorno model for a comprehensive understanding of nanofluid properties.

Main Methods:

• Governing nonlinear equations were transformed into a dimensionless system.
• Adequate transformations were used for simplification.
• The NDSolve approach was employed for numerical computation.

Main Results:

• Mixed convection significantly enhances fluid velocity.
• The Hartman number inversely affects flow and temperature.
• Eckert number increases temperature, while thermophoresis decreases concentration.
• Radiation augments entropy generation; thermophoresis boosts thermal transport.

Conclusions:

• The study provides insights into nanofluid dynamics under various physical conditions.
• Findings are relevant for optimizing industrial processes involving nanomaterials.
• The interplay of different parameters influencing heat and mass transfer is clarified.