Published 2023-04-30
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Abstract
In recent decades, computer graphics have significantly advanced, with fluid simulation emerging as a crucial area for creating realistic visual effects in films and games. Viscoelastic fluid simulation presents unique challenges due to its complex behaviors, such as fluctuations and vortices, which demand sophisticated methods for greater realism. This study examines the role of efficient algorithms in dynamic viscoelastic fluid simulation, highlighting their importance in reducing computation time and memory consumption while enhancing realism. Despite current algorithms' limitations in fully capturing the complexities of viscoelastic fluids, this paper proposes improvements to address these issues, making them more suitable for 3D animation applications. The future of fluid simulation is poised to benefit from developments in GPU acceleration, distributed computing, and machine learning, promising even more realistic and immersive animations.