Capillary flow dynamics of power-law fluids in root-like networks: effects of gravity, rheology, and structural complexity

15 May 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The capillary driven flow of non-Newtonian fluids into networks is a complex phenomenon with multiple applications in biological systems, industry and engineering. In this work, we extend the classical Lucas-Washburn scenario, where a Newtonian fluid is driven by capillary forces through a single cylindrical vertical tube, by considering the flow of a non-Newtonian power-law fluid through a self-similar root-like branching network, without neglecting hydrostatic effects. We develop a theoretical model that assumes axisymmetric flow in each network branch, and find a complex generalized form for the classical square-root Lucas-Washburn relation between filled length and time: $L\propto t^{1/2}$. The model is validated by comparing our theoretical results with data from experiments and numerical simulations available in the literature. We identify two flow regimes, equilibrium and overflow. In the equilibrium regime the flow asymptotically approaches an equilibrium filling limit, and in the overflow regime the fluid fills the entire network in a finite time. We show that the regime flow is determined by ratio between capillary and hydrostatic forces. Furthermore, we describe an optimal geometrical configuration that maximizes fluid transport across the network. We show that non-Newtonian rheological features play a significant role in the flow dynamics. Finally, we show that the power-law rheology and the structural geometrical complexity, change the simple Lucas-Washburn power-law relation to a fairly complex signomial one. The capillary flow of shear-thinning fluids is significantly faster than shear-thickening ones, but also much more sensitive perturbations on the physical parameters of interest. These insights provide a framework for designing bio-inspired fluidic systems and optimizing capillary-driven engineering applications, such as smart textiles, biomedical microfluidics devices, and enhanced oil recovery.

Keywords

Capillary flow
power-law fluids
root-like self-similar networks
Lucas-Washburn relation
Optimal flow.

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.