Predictions of Conjugate Heat Transfer in Turbulent Channel Flow Using Advanced Wall-Modeled Large Eddy Simulation...

Area of Science:

• Computational fluid dynamics
• Heat transfer
• Turbulence modeling

Background:

• Conjugate heat transfer (CHT) involves coupled conduction and convection.
• Accurate CHT prediction is crucial for many engineering applications.
• Turbulent channel flow presents a benchmark for CHT simulations.

Purpose of the Study:

• To evaluate advanced wall-modeled large eddy simulation (LES) techniques for CHT in turbulent channel flow.
• To compare the accuracy and computational cost of different LES approaches.
• To identify efficient near-wall modeling strategies for CHT problems.

Main Methods:

• Wall-modeled LES techniques including zonal LES, improved delayed detached eddy simulation (IDDES), and wall function LES (WFLES).
• Comparison with direct numerical simulation (DNS) and wall-resolved LES data.
• Analysis of heat and fluid flow statistics, wall shear stresses, and Nusselt numbers.
• Entropy generation analysis to assess thermodynamic performance.

Main Results:

• Zonal LES, IDDES, and WFLES accurately predict heat and fluid flow statistics and wall parameters.
• IDDES, WFLES, and zonal LES offer significantly lower computational costs than wall-resolved LES.
• WFLES emerges as a promising near-wall modeling strategy due to its balance of accuracy and efficiency.
• Entropy generation analysis reveals distinct patterns in viscous and thermal contributions within solid and fluid regions.

Conclusions:

• Advanced wall-modeled LES methods are suitable for predicting CHT in turbulent channel flow.
• WFLES provides a computationally efficient and accurate approach for CHT simulations.
• The choice of LES technique impacts computational cost and implementation complexity.
• Entropy generation analysis offers insights into the thermodynamic irreversibility of CHT processes.