Heat transfer in drop-laden turbulence

TL;DR

This study investigates heat transfer in turbulent flows laden with deformable drops using DNS and phase-field methods, revealing how Prandtl number influences heat transfer rates and demonstrating a universal rescaling behavior.

Contribution

The paper introduces a coupled DNS and phase-field simulation approach to analyze heat transfer in drop-laden turbulence across different Prandtl numbers, highlighting a universal rescaling law.

Findings

Higher Prandtl numbers slow heat transfer.

Drop deformation and dynamics influence heat transfer rates.

A universal rescaling law t/Pr^{2/3} describes temperature evolution.

Abstract

Heat transfer by large deformable drops in a turbulent flow is a complex and rich in physics system, in which drops deformation, breakage and coalescence influence the transport of heat. We study this problem coupling direct numerical simulations (DNS) of turbulence, with a phase-field method for the interface description. Simulations are run at fixed shear Reynolds and Weber numbers. To evaluate the influence of microscopic flow properties, like momentum/thermal diffusivity, on macroscopic flow properties, like mean temperature or heat transfer rates, we consider four different values of the Prandtl number, which is the momentum to thermal diffusivity ratio: Pr=1, Pr=2, Pr=4 and Pr=8. The drops volume fraction is Phi=5.4% for all cases. Drops are initially warmer than the turbulent carrier fluid, and release heat at different rates, depending on the value of Pr, but also on their size and on their own dynamics (topology, breakage, drop-drop interaction). Computing the time behavior of the drops and carrier fluid average temperatures, we clearly show that an increase of Pr slows down the heat transfer process. We explain our results by a simplified phenomenological model: we show that the time behavior of the drops average temperature is self similar, and a universal behavior can be found upon rescaling by t/Pr^2/3.