Scale-Adaptive Simulation of Transient Two-Phase Flow in Continuous-Casting Mold
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Scale-adaptive simulation (SAS) of the transient gas–liquid two-phase flow in a laboratory-scale continuous-casting mold is presented. The main objective is to investigate the applicability of the scale-adaptive unsteady Reynolds-averaged Navier–Stokes turbulent model (URANS SAS) for predicting the transient multiscale turbulent structures in a two-phase flow. Good quantitative agreements with the experimental data and the large eddy simulation (LES) results are obtained both for the time-averaged velocity field and for the transient turbulent characteristics. The introduction of the von Karman length-scale into the turbulence-scale equation allows the SAS model to dynamically adjust to the resolved turbulent structures. The LES-like pulsating behavior of the air gas and the large-scale liquid eddy magnitudes in the unsteady regions of flow field are captured by the SAS model. The classical − 5/3 law of power spectrum density (PSD) of the axial velocity is kept properly for the single-phase turbulent flow. For two-phase flow, the decay of PSD is too steep at the high-frequency region; the predicted PSD obtained with SAS is damped stronger than that estimated by LES. The SAS model offers an attractive alternative to the existing LES approach or to the other hybrid RANS/LES models for strongly unsteady flows.
This work was financially supported by the Fundamental Research Funds for the Central Universities of China (No. N162504009), the National Natural Science Foundation of China (Nos. 51604070 and 51574068) and the China Scholarship Council (No. 201706085027). The financial supports by the RHI-Magnesita AG; the Austrian Federal Ministry of Economy, Family, and Youth; and the National Foundation for Research, Technology, and Development within the framework of the Christian Doppler Laboratory for Advanced Process Simulation of Solidification and Melting are gratefully acknowledged.
- 4.A.N. Kolmogorov: Dokl. Akad. Nauk SSSR, 1941, vol. 32, pp. 16-18.Google Scholar
- 16.D. Creech: Master’s thesis, University of Illinois at Urbana Champaign, Urbana, IL, 1999.Google Scholar
- 20.J. O. Hinze: Turbulence. McGraw-Hill Publishing Co., New York, 1975.Google Scholar
- 22.Q. Yuan, T. Shi, S.P. Vanka, and B.G. Thomas: Computational Modeling of Materials, Warrendale, PA, Minerals and Metals Processing, 2001, pp. 491–500.Google Scholar
- 26.K. Timmel, C. Kratzsch, A. Asad, D. Schurmann, R. Schwarze, and S. Eckert: IOP Conference Series: Materials Science and Engineering, 2017, vol. 228, p. 012019. https://doi.org/10.1088/1757-899x/228/1/012019.
- 33.C. Kratzsch, A. Asad and R. Schwarze: J. Manuf. Sci. Prod., 2015, vol. 15, pp. 49-57.Google Scholar
- 37.F.R. Menter: AIAA Paper #93-2906, 24th Fluid Dynamics Conference, July 1993.Google Scholar
- 43.J.C.R. Hunt, A.A. Wray, and P. Moin: Center for Turbulence Research Report, 1988, pp. 193–208.Google Scholar