Fast multiple-fluid simulation using Helmholtz free energy
Multiple-fluid interaction is an interesting and common visual phenomenon we often
observe. In this paper, we present an energy-based Lagrangian method that expands the
capability of existing multiple-fluid methods to handle various phenomena, such as
extraction, partial dissolution, etc. Based on our user-adjusted Helmholtz free energy
functions, the simulated fluid evolves from high-energy states to low-energy states, allowing
flexible capture of various mixing and unmixing processes. We also extend the original …
observe. In this paper, we present an energy-based Lagrangian method that expands the
capability of existing multiple-fluid methods to handle various phenomena, such as
extraction, partial dissolution, etc. Based on our user-adjusted Helmholtz free energy
functions, the simulated fluid evolves from high-energy states to low-energy states, allowing
flexible capture of various mixing and unmixing processes. We also extend the original …
Multiple-fluid interaction is an interesting and common visual phenomenon we often observe. In this paper, we present an energy-based Lagrangian method that expands the capability of existing multiple-fluid methods to handle various phenomena, such as extraction, partial dissolution, etc. Based on our user-adjusted Helmholtz free energy functions, the simulated fluid evolves from high-energy states to low-energy states, allowing flexible capture of various mixing and unmixing processes. We also extend the original Cahn-Hilliard equation to be better able to simulate complex fluid-fluid interaction and rich visual phenomena such as motion-related mixing and position based pattern. Our approach is easily integrated with existing state-of-the-art smooth particle hydrodynamic (SPH) solvers and can be further implemented on top of the position based dynamics (PBD) method, improving the stability and incompressibility of the fluid during Lagrangian simulation under large time steps. Performance analysis shows that our method is at least 4 times faster than the state-of-the-art multiple-fluid method. Examples are provided to demonstrate the new capability and effectiveness of our approach.
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