The flow of power law fluids in elastic networks and porous media

TL;DR

This paper introduces a novel, efficient pore-scale network model for simulating power law fluid flow in elastic tubes, accounting for non-Newtonian rheology and tube distensibility, validated through various tests.

Contribution

It presents the first model combining non-Newtonian fluid behavior with elastic tube mechanics, offering an exact, easy-to-implement, and computationally efficient approach.

Findings

Model accurately describes shear-dependent flow in elastic networks.

Incorporates non-Newtonian effects and tube distensibility.

Demonstrates advantages over existing models in accuracy and efficiency.

Abstract

The flow of power law fluids, which include shear thinning and shear thickening as well as Newtonian as a special case, in networks of interconnected elastic tubes is investigated using a residual based pore scale network modeling method with the employment of newly derived formulae. Two relations describing the mechanical interaction between the local pressure and local cross sectional area in distensible tubes of elastic nature are considered in the derivation of these formulae. The model can be used to describe shear dependent flows of mainly viscous nature. The behavior of the proposed model is vindicated by several tests in a number of special and limiting cases where the results can be verified quantitatively or qualitatively. The model, which is the first of its kind, incorporates more than one major non-linearity corresponding to the fluid rheology and conduit mechanical properties, that is non-Newtonian effects and tube distensibility. The formulation, implementation and performance indicate that the model enjoys certain advantages over the existing models such as being exact within the restricting assumptions on which the model is based, easy implementation, low computational costs, reliability and smooth convergence. The proposed model can therefore be used as an alternative to the existing Newtonian distensible models; moreover it stretches the capabilities of the existing modeling approaches to reach non-Newtonian rheologies.