A Novel FE/MC-based Mathematical Model of Mushy Steel Deformation with GPU Support

The paper presents the results of work leading to the construction of a spatial hybrid model based on finite element (FE) and Monte Carlo (MC) methods allowing the computer simulation of physical phenomena accompanying the steel sample testing at temperatures that are characteristic for soft-reducti...

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Bibliographic Details
Published in:Archives of metallurgy and materials 2022-01, Vol.67 (2), p.735-742
Main Authors: Hojny, M, Dębiński, T
Format: Article
Language:English
Subjects:
Computation
Computer simulation
extra-high temperatures
fem
Finite element method
gpu
Grain growth
Graphics processing units
Incompressibility
Mathematical analysis
Mathematical models
Melting
monte carlo
Resistance heating
soft-reduction
Steel
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Summary:The paper presents the results of work leading to the construction of a spatial hybrid model based on finite element (FE) and Monte Carlo (MC) methods allowing the computer simulation of physical phenomena accompanying the steel sample testing at temperatures that are characteristic for soft-reduction process. The proposed solution includes local density variations at the level of mechanical solution (the incompressibility condition was replaced with the condition of mass conservation), and at the same time simulates the grain growth in a comprehensive resistance heating process combined with a local remelting followed by free/controlled cooling of the sample tested. Simulation of grain growth in the entire computing domain would not be possible without the support of GPU processors. There was a 59-fold increase in the computing speed on the GPU compared to single-threaded computing on the CPU. The study was complemented by examples of experimental and computer simulation results, showing the correctness of the adopted model assumptions.
ISSN:1733-3490
2300-1909
DOI:10.24425/amm.2022.137812