Study of nanoparticle morphology effect on fluid flow between two active parallel plates

Area of Science:

• Fluid Dynamics
• Heat Transfer
• Nanotechnology

Background:

• Nanofluid thermophysical properties depend heavily on nanoparticle morphology.
• Accurate modeling is crucial for predicting flow and heat transfer in thermal systems.
• Magnetohydrodynamics (MHD) and porous media are key in advanced thermal management.

Purpose of the Study:

• To investigate MHD nanofluid flow between parallel plates in a porous medium.
• To analyze the impact of nanoparticle morphology on momentum and heat transfer.
• To incorporate quadratic thermal radiation and convective boundary conditions.

Main Methods:

• Utilized morphology-dependent models for various nanoparticle shapes (spherical, brick, cylindrical, platelet).
• Transformed governing equations using similarity transformations.
• Solved using the Tchebichef polynomial collocation method and verified with Runge-Kutta-Fehlberg method.
• Employed Levenberg-Marquardt artificial neural networks for field prediction.

Main Results:

• Increased magnetic field strength and porous resistance significantly suppress fluid velocity.
• Higher thermal radiation and Biot numbers lead to enhanced temperature fields.
• Nanoparticle morphology influences both momentum and heat transfer characteristics.

Conclusions:

• The study provides a robust framework for analyzing nanofluid behavior under MHD and porous conditions.
• Results offer valuable insights for optimizing thermal management technologies.
• Morphology-dependent models are essential for accurate nanofluid performance prediction.