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    Area of Science:

    • Computational fluid dynamics
    • Computer graphics
    • Multiphase flow simulation

    Background:

    • Existing fluid solvers excel at individual effects (bubbling, wetting) but lack generality.
    • Computational fluid dynamics offers general models but struggles with high density ratios and Reynolds numbers for realistic simulations.
    • A gap exists in methods capable of simulating complex multiphase phenomena concurrently for applications like film production.

    Purpose of the Study:

    • To develop a general multiphase flow solver capable of simulating diverse behaviors simultaneously.
    • To improve upon existing kinetic-based approaches for enhanced stability and accuracy.
    • To address limitations in simulating high density ratios and Reynolds numbers required for realistic visual effects.

    Main Methods:

    • Proposed a kinetic model coupling Navier-Stokes equations with a conservative phase-field equation.
    • Implemented numerical improvements over existing kinetic-based fluid solvers.
    • Developed an embarrassingly parallel and conservative algorithm.

    Main Results:

    • The new solver demonstrates superior stability and generality for simulating multiphase flows.
    • Successfully captures complex behaviors like bubbling, glugging, wetting, and splashing concurrently.
    • Achieved accurate simulations comparable to real footage and previous methods, even under challenging real-life conditions.

    Conclusions:

    • The proposed kinetic model provides a robust and general solution for multiphase flow simulation.
    • The numerical improvements enhance stability and efficiency, making it suitable for demanding applications.
    • This method advances the state-of-the-art in simulating realistic fluid dynamics for computer graphics and scientific research.