The unifying theory of scaling in thermal convection: The updated prefactors

TL;DR

This paper updates the unifying theory of scaling in thermal convection by fitting new experimental data, confirming the theory's predictions across a broad parameter space, and discussing the adaptability of the model to different Reynolds number definitions.

Contribution

The paper provides an updated fit of the GL theory to extensive experimental data, demonstrating its validity and adaptability in describing thermal convection scaling.

Findings

The updated Nu(Ra,Pr) function agrees with most experimental and numerical data.

The theory accurately predicts the onset of the ultimate convection regime.

The GL coefficients can be adapted to different Reynolds number definitions without changing Nu(Ra,Pr).

Abstract

The unifying theory of scaling in thermal convection (Grossmann & Lohse (2000)) (henceforth the GL theory) suggests that there are no pure power laws for the Nusselt and Reynolds numbers as function of the Rayleigh and Prandtl numbers in the experimentally accessible parameter regime. In Grossmann & Lohse (2001) the dimensionless parameters of the theory were fitted to 155 experimental data points by Ahlers & Xu (2001) in the regime $3\times 10^7 \le Ra \le 3 \times 10^{9}$ and $4\le Pr \le 34$ and Grossmann & Lohse (2002) used the experimental data point from Qiu & Tong (2001) and the fact that Nu(Ra,Pr) is independent of the parameter a, which relates the dimensionless kinetic boundary thickness with the square root of the wind Reynolds number, to fix the Reynolds number dependence. Meanwhile the theory is on one hand well confirmed through various new experiments and numerical simulations. On the other hand these new data points provide the basis for an updated fit in a much larger parameter space. Here we pick four well established (and sufficiently distant) Nu(Ra,Pr) data points and show that the resulting Nu(Ra,Pr) function is in agreement with almost all established experimental and numerical data up to the ultimate regime of thermal convection, whose onset also follows from the theory. One extra Re(Ra,Pr) data point is used to fix Re(Ra,Pr). As Re can depend on the definition and the aspect ratio the transformation properties of the GL equations are discussed in order to show how the GL coefficients can easily be adapted to new Reynolds number data while keeping Nu(Ra,Pr) unchanged.