Speaker
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Abstract
Simulating the inclusion removal process in a tundish requires the consideration of large range of time and length scales.[1.] Because of both the steel and argon inlet, small timesteps as well as a fine mesh are required due to turbulence. On the other hand, the cleaning process itself takes comparatively long times to reach a steady state and consequently large computational costs are required for a full simulation.
However, the recurrent nature of the turbulent flow allows to approximate its evolution in an efficient, physically sound way called recurrence CFD.[2., 3.] Starting from a short high-fidelity time series, further predictions are made based on iteration of the method of analogues, i.e. it is assumed that similar states evolve in a similar fashion. This also holds for the cell-to-cell transport behavior of the flow, [4.] which makes it possible to describe the dynamics of passive species without the need to solve the Navier-Stokes equations. Hence, computational costs are massively reduced and process-relevant durations may be simulated.
References
- D.-Y. Sheng, Mathematical modelling of multiphase flow and inclusion behavior in a single-strand tundish, Metals 10 (9) (2020). doi:10.3390/met10091213
- T. Lichtenegger, S. Pirker, Recurrence CFD - a novel approach to simulate multiphase flows with strongly separated time scales, Chem. Eng. Sci. 153 (2016) 394–410. doi:10.1016/j.ces.2016.07.036
- T. Lichtenegger, S. Abbasi, S. Pirker, Transport in turbulent, recurrent flows: Time-extrapolation and statistical symmetrization, Chem. Eng. Sci. 259 (2022) 117795. doi:10.1016/j.ces.2022.117795
- S. Pirker, T. Lichtenegger, Efficient time-extrapolation of single- and multiphase simulations by transport based recurrence CFD (rCFD), Chem. Eng. Sci. 188 (2018) 65–83. doi:10.1016/j.ces.2018.04.059
| Speaker Country | Austria |
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