Non-similar solution development for entropy optimized flow of Jeffrey liquid

Area of Science:

• Fluid Dynamics
• Nanomaterial Science
• Heat Transfer

Background:

• Investigating mixed convection is crucial for applications involving heat and mass transfer.
• Nanomaterials offer unique thermal properties, making their flow behavior significant.
• Entropy optimization provides a framework for analyzing irreversibility in fluid systems.

Purpose of the Study:

• To analyze mixed convection in a dissipative nanofluid flow towards a stretching Riga sheet.
• To incorporate Brownian diffusion and thermophoresis effects in the nanofluid model.
• To optimize the system based on entropy generation.

Main Methods:

• Utilizing constitutive relations for Jeffrey materials.
• Developing non-similar solutions for the governing differential equations.
• Employing the Optimal Homotopy Asymptotic Method (OHAM) for convergent series solutions.

Main Results:

• Graphical analysis of the impact of pertinent variables on flow characteristics.
• Quantification of heat and mass transfer rates under mixed convection.
• Assessment of entropy generation minimization.

Conclusions:

• The study provides a comprehensive analysis of nanofluid flow with mixed convection and entropy optimization.
• OHAM proves effective for solving complex, non-similar fluid dynamics problems.
• Understanding these phenomena is vital for designing efficient thermal systems.