Dimensionless Groups by Entropic Similarity

TL;DR

This paper introduces a new class of dimensionless groups based on entropic similarity, analyzing processes through entropy production and flow rates to enhance understanding of fluid phenomena and expand traditional dimensional analysis.

Contribution

It proposes entropic similarity as a new framework for deriving dimensionless groups, including many traditional ones and new groups, for fluid mechanics and related fields.

Findings

Many traditional dimensionless groups can be derived via entropic similarity.

A large number of new dimensionless groups are identified.

The approach broadens the scope of dimensional analysis in science and engineering.

Abstract

We propose an additional category of dimensionless groups based on the principle of {\it entropic similarity}, defined by ratios of (i) entropy production terms; (ii) entropy flow rates or fluxes; or (iii) information flow rates or fluxes. Since all processes involving work against friction, dissipation, diffusion, dispersion, mixing, separation, chemical reaction, gain of information or other irreversible changes are driven by (or must overcome) the second law of thermodynamics, it is appropriate to analyse these processes directly in terms of competing entropy-producing and transporting phenomena and the dominant entropic regime, rather than indirectly in terms of forces. In this study, we derive entropic groups for a wide variety of phenomena relevant to fluid mechanics, classified into diffusion and chemical reaction processes, dispersion mechanisms and wave phenomena. It is shown that many dimensionless groups traditionally derived by kinematic or dynamic similarity (including the Reynolds number) can also be recovered by entropic similarity -- albeit with a different entropic interpretation -- while a large number of new dimensionless groups are also identified. The analyses significantly expand the scope of dimensional analysis and similarity arguments for the resolution of new and existing problems in science and engineering.