Abstract
Aiming at the parallel simulation of ice melting and the fast identification of ice surface particles, this paper proposes a parallel method based on particles. Before simulating ice melting, firstly, a strategy based on spatial hash grid is used to identify surface particles, and then the temperature of particles is updated by using the heat transfer calculation model of material's heat conduction properties, and the molten fluid is simulated by Smoothed Particle Hydrodynamics(SPH); finally, in order to further accelerate the simulation of heat transfer, the phase transition between ice and water, and the direct interaction between ice and fluid, The method is implemented by CUDA parallel computing. The experimental results show that: the strategy based on spatial hash grid is simpler and more accurate than the smoothed color field; the improved ice melting model can significantly improve the simulation efficiency while retaining high-quality details.
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Cheng, J., Liu, Z., Liu, T., Chai, Y. (2024). A Parallel Ice Melting Simulation Based on Particle. In: Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. BICA 2023. Studies in Computational Intelligence, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-50381-8_23
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DOI: https://doi.org/10.1007/978-3-031-50381-8_23
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