Abstract
Melt flow patterns and turbulence inside a slide-gate throttled submerged entry nozzle (SEN) were studied using Detached–Eddy Simulation (DES) model, which is a combination of Reynolds–Averaged Navier–Stokes (RANS) and Large–Eddy Simulation (LES) models. The DES switching criterion between RANS and LES was investigated to closely reproduce the flow structures of low and high turbulence regions similar to RANS and LES simulations, respectively. The melt flow patterns inside the nozzle were determined by k–ε (a RANS model), LES, and DES turbulent models, and convergence studies were performed to ensure reliability of the results. Results showed that the DES model has significant advantages over the standard k–ε model in transient simulations and in regions containing flow separation from the nozzle surface. Moreover, due to applying a hybrid approach, DES uses a RANS model at wall boundaries which resolves the extremely fine mesh requirement of LES simulations, and therefore it is computationally more efficient. Investigation of particle distribution inside the nozzle and particle adhesion to the nozzle wall also reveals that the DES model simulations predict more particle–wall interactions compared to LES model.
Recommended Citation
M. Mohammadi-Ghaleni et al., "Computational Fluid Dynamics Study of Molten Steel Flow Patterns and Particle-Wall Interactions Inside a Slide-Gate Nozzle by a Hybrid Turbulent Model," Metallurgical and Materials Transactions B, vol. 47, no. 5, pp. 3056 - 3065, Springer Boston, Oct 2016.
The definitive version is available at https://doi.org/10.1007/s11663-016-0729-3
Department(s)
Materials Science and Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Second Research Center/Lab
Peaslee Steel Manufacturing Research Center
Keywords and Phrases
Computational fluid dynamics; Flow patterns; Flow separation; Navier Stokes equations; Reconfigurable hardware; Steel foundry practice; Turbulence; Model simulation; Molten steel flow; Particle adhesion; Particle distributions; Submerged entry nozzles; Switching criterion; Transient simulation; Turbulent models; Nozzles
International Standard Serial Number (ISSN)
1073-5615
Document Type
Article - Journal
Document Version
Accepted Manuscript
File Type
text
Language(s)
English
Rights
© 2016 Springer Boston, All rights reserved.
Publication Date
01 Oct 2016
Included in
Materials Science and Engineering Commons, Numerical Analysis and Scientific Computing Commons
Comments
The authors would like to acknowledge the funding support from the Kent D. Peaslee Steel Manufacturing Research Center (PSMRC).