Computational Modelling of Thixotropic Multiphase Fluids

TL;DR

This paper introduces a numerical model for simulating thixotropic multiphase fluids, capturing their complex, time-dependent viscosity and phase interactions to better understand their behavior in various applications.

Contribution

It presents a novel computational approach that models microstructural evolution and rheological behavior in thixotropic multiphase systems, validated against benchmark cases.

Findings

Model accurately predicts multiphase behavior under static and dynamic conditions.

Thixotropic dynamics significantly influence system rheology and phase interactions.

The approach offers insights into aging and recovery processes in complex fluids.

Abstract

Multiphase systems are ubiquitous in engineering, biology, and materials science, where understanding their complex interactions and rheological behavior is crucial for advancing applications ranging from emulsion stability to cellular phase separation. This study presents a numerical methodology for modeling thixotropic multiphase fluids, emphasizing the transient behavior of viscosity and the intricate interactions between phases. The model incorporates phase-dependent viscosities, interfacial tension effects, and the dynamics of phase separation, coalescence, and break-up, making it suitable for simulating systems with complex flow regimes. A key feature of the methodology is its ability to capture thixotropic behavior, where viscosity evolves over time due to microstructural changes induced by shear history. This approach enables the simulation of aging and recovery processes in materials such as gels, emulsions, and biological tissues. The model is rigorously validated against benchmark cases, demonstrating its accuracy in predicting multiphase systems under static and dynamic conditions. Subsequently, the methodology is applied to investigate systems with varying levels of microstructural evolution, revealing the impact of thixotropic dynamics on overall system behavior. The results provide new insights into the time-dependent rheology of multiphase fluids and highlight the versatility of the model for applications in industrial and biological systems involving complex fluid interactions.