Spontaneous phase separation of ternary fluid mixtures

Area of Science:

• Computational fluid dynamics
• Soft matter physics
• Chemical engineering

Background:

• Understanding spontaneous phase separation in multicomponent fluid mixtures is crucial for various industrial processes.
• Previous theoretical models based on linear stability analysis often fail to fully explain observed phase separation behaviors in ternary systems.

Purpose of the Study:

• To computationally investigate the spontaneous phase separation of ternary fluid mixtures.
• To develop a phenomenological model that accurately describes the phase separation mechanisms and their prevalence.
• To identify the dominant mechanisms driving phase separation in ternary systems.

Main Methods:

• Utilizing the lattice Boltzmann method for computational simulations.
• Analyzing phase separation in ternary fluid mixtures with both equal and unequal surface tensions.
• Developing and validating a phenomenological model against simulation results.

Main Results:

• Identified four basic mechanisms governing ternary fluid phase separation pathways.
• Demonstrated that linear stability analysis is insufficient to explain observed simulation results.
• Developed a phenomenological model that successfully captures composition regimes for each mechanism.
• Highlighted the significant role of minor component enrichment and instability at the fluid-fluid interface.

Conclusions:

• The study provides a novel classification and predictive model for ternary fluid phase separation.
• The findings emphasize the unique interfacial phenomena in ternary mixtures compared to binary ones.
• The developed model offers a more accurate approach to understanding and predicting phase behavior in complex fluid systems.