Abstract
In computational fluid dynamics a lot of theoretical and numerical effort is made to have a method with the ability to correctly simulate fluid-structure interaction, free surfaces, as well as evolve multiple components and phases within a system. Traditionally, commercial and open source software is based on meshes where the implementation of open boundaries and interfaces is not trivial. A particle method, the Smooth Particle Hydrodynamics (SPH), has the advantage of being mesh free and the ability to treat open surfaces. This paper presents a study of the characteristics and capacity of the GPUSPH open source software to simulate a fluid injection through a fork injector submerged in a tank. The objective of this system is to study the formation of vortices and the oscillations of the free surface in the tank, an open problem in continuous metal casting industry. A system similar to that described by [3] and [12] has been simulated to study the velocity field inside the tank and compare with previous results. Our fiducial simulation reproduce the qualitative behavior observed in physical and numerical experiments [3,4,5,6,7,8,9, 12]. However, in order to reproduce the dynamics of water near the nozzle more than a million particles are required leading to somewhat higher computational cost in comparison to the mesh based methods.
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Acknowledgment
The authors gratefully acknowledge the developers of GPUSPH code for making it publicly available, as well as the facilities of the “Laboratory of Applied Mathematics and High-Performance Computing (ABACUS)” of the Mathematics Department of CINVESTAV-IPN where simulations were performed.
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Gabbasov, R., González-Trejo, J., Real-Ramírez, C.A., Molina, M.M., la Torre, F.Cd. (2019). Evaluation of GPUSPH Code for Simulations of Fluid Injection Through Submerged Entry Nozzle. In: Torres, M., Klapp, J. (eds) Supercomputing. ISUM 2019. Communications in Computer and Information Science, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-38043-4_18
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