2003
DOI: 10.1002/srin.200300160
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Numerical and Physical Simulation of Tundish Fluid Flow Phenomena

Abstract: The fluid flow in a continuous casting tundish is numerically and physically simulated by means of water models. Results of residence time distribution (RTD) measurements and laser-optical measurements (Laser Doppler Anemometry -LOA, Digital Particle Image Velocimetry -DPIV) are used to validate the numerical results for water before the numerical simulation is transferred to the steel melt. The investigations are focused on both steady-state and transient casting conditions. To reduce vortexing and turbulence… Show more

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Cited by 48 publications
(36 citation statements)
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“…Former investigations [22] show that in geometrically similar models, the characteristic flow structures for Re > Re critical (Re critical = 2300) remain unchanged. Therefore, investigations with a reduced volume flow rate (Re = 4100) are carried out.…”
Section: Water Model Studymentioning
confidence: 92%
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“…Former investigations [22] show that in geometrically similar models, the characteristic flow structures for Re > Re critical (Re critical = 2300) remain unchanged. Therefore, investigations with a reduced volume flow rate (Re = 4100) are carried out.…”
Section: Water Model Studymentioning
confidence: 92%
“…However, some investigations [25] demonstrate that this model does not give sufficient results for all cases. Former investigations [18,21,22,[26][27][28] showed that the overall flow phenomena in the tundish are well described by steady-state numerical simulations using the RANS equations combined with the realizable k-e model from Shih et al [29] This model is a good compromise between accuracy and simulation time. The realizable k-e model is based on the Boussinesq approximation, which says that the Reynolds stresses are a function of the mean gradients of velocity similar to the molecular stress.…”
Section: Mathematical Modelingmentioning
confidence: 96%
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“…14) Q. Hou et al 15) have compared the standard and Renormalization group (RNG) 16) k-ε turbulence models in a case of swirling flow tundish. H. Odenthal et al [17][18][19] have used Realizable k-ε model 20) which is an advance model of standard k-ε model. They found good approximation by using RANS equation combined with the realizable k-ε model.…”
Section: Introductionmentioning
confidence: 99%