Heat Transfer Enhancement in Porous Media Systems

Heat transfer enhancement in porous media systems encompasses the study and optimisation of fluid and thermal interactions within materials containing interconnected voids. By embedding solid structures such as metal foams, wire meshes or packed particles into flow passages, it is possible to increase surface area, induce complex flow paths and exploit non-Darcy flow effects. These modifications elevate convective heat transfer rates, moderate temperature gradients and can reduce thermal resistance in industrial applications ranging from electronic cooling to energy recovery. Central to this field are coupled momentum and energy equations that account for viscous dissipation, inertial forces and, where relevant, magnetic or buoyancy effects. Recent advances combine high-fidelity simulations with experimental data to pinpoint optimal porous geometries and operating conditions, thereby informing the design of compact, high-performance heat exchangers with global significance in sustainable energy and advanced manufacturing.

Research from Nature Portfolio

Recent studies have demonstrated the potential of artificial-intelligence-augmented simulation to accelerate the analysis of nanofluid flow in porous conduits. A hybrid approach combined computational fluid dynamics with an adaptive network-based fuzzy inference system, further enhanced by a differential-evolution trainer, to learn velocity distributions of Al₂O₃–water nanofluid in a porous pipe. The model successfully predicted detailed flow fields on a mesh several orders of magnitude finer than the training grid, without requiring additional CFD calculations. Such integration of machine learning with classical porous-media models offers a route to fast, accurate prediction of thermal performance in complex geometries.

Heat Transfer Enhancement in Porous Media Systems publication trend

The graph below shows the total number of articles in heat transfer enhancement in porous media systems across all publications each year (not limited to Nature Index journals).

Technical terms

Porosity: The volumetric fraction of void space within a porous material through which fluid can flow.

Darcy–Brinkman–Forchheimer model: An extended momentum-exchange formulation that incorporates viscous, inertial and permeability effects in porous flows.

Nusselt number: A dimensionless parameter expressing the ratio of convective to conductive heat transfer at a surface.

Local thermal equilibrium: The assumption that solid and fluid phases within a porous medium share the same temperature at each point.

References

1. Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results. Scientific Reports (2021).
2. Thermal management of the central processing unit cooling system using a cylindrical metal foam heat sink under the influence of magnetohydrodynamic nanofluid flow. International Journal of Numerical Methods for Heat &amp Fluid Flow (2023).
3. Experimental and Numerical Analysis of Forced Convection in a Horizontal Tube Partially Filled with a Porous Medium under Local Thermal Equilibrium Conditions. Water (2022).
4. Flow and Heat Transfer Study of an Annulus Partially Filled with Metallic Foam on Two Wall Surfaces Subject to Asymmetrical Heat Fluxes. Arabian Journal for Science and Engineering (2023).