The Computational Fluid Dynamic (CFD) Modeling of the Horizontal Single Belt Casting (HSBC) Processing of Al-Mg-Sc-Zr Alloy Strips

Ge, Sa; Isac, Mihaiela; Guthrie, R. I. L.

doi:10.1007/s11663-015-0375-1

Cited by 9 publications

(2 citation statements)

References 10 publications

(26 reference statements)

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“…Zhao et al studied slag entrainment by benchmarking an water-oil experiment using VOF and simulating the formation of slag eyes, and detachment mechanisms of slag droplets depending on the casting speed. 29) Similar investigations have been done to track motion of the molten metal/slag interface in electroslag remelting (ESR), 105) in horizontal belt casting, 106) and in continuous casting of steel billets. 107,108) The latter investigated the effect of nozzle misalignment on the flow pattern and surface motion in a billet mold 107) and on shell thickness, using a solidification model.…”

Section: Volume Of Fluid (Vof) Modelmentioning

confidence: 99%

Mathematical Modeling of Multiphase Flow in Steel Continuous Casting

2019

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This paper reviews multiphase flow models for continuous casting of steel from classical models to recent methods. These multiphase flow models are classified into six groups in this paper: quasi-multiphase models, multi-fluid models, moving grid methods, interface tracking methods, particle based models/ methods and hybrid models. For each model, the governing equations are summarized and the inherent advantages and disadvantages are discussed. Example applications of each model are presented from previous literature, illustrating typical results and accuracy that can be obtained. The objective of this paper is to guide readers to choose an appropriate multiphase flow model for their application. Argon gas bubble effects on the flow pattern can be modeled with simple mixture models, Eulerian-Eulerian models, Multiple size group models which also track bubble size distributions, and Discrete-Phase Models (DPM). Gas pockets and slug flow, which can occur inside the nozzle are more complex, and hybrid models which combine different models together, such as Eulerian-Eulerian, level-set, Volume of Fluid (VOF), and DPM, appear promising. The shape of the slag/steel interfacial profile, level fluctuations, and slag entrainment can be modeled with free surface methods, such as moving grid, VOF, or other interface tracking methods. Particle transport and entrapment, including inclusions and gas bubbles can be added via DPM models and also require a capture criterion model. Solidification and meniscus phenomena require flow models coupled with heat transfer and solidification.

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Section: Volume Of Fluid (Vof) Modelmentioning

confidence: 99%

Mathematical Modeling of Multiphase Flow in Steel Continuous Casting

2019

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“…Ge et al used CFD to simulate the process of horizontal single belt casting for a metallic alloy. 14 They did not provide any discussion on the determination of the constant and applied a value of 10 5 kg/m 3 s, set by default in the commercial software ANSYS Fluent. Eickhoff et al re-implemented the enthalpy-porosity model in ANSYS Fluent, 15 in order to take into account the non-linearity of the liquid fraction as a function of the temperature for the material they studied.…”

Section: Introductionmentioning

confidence: 99%

CFD Modeling of the Melting Behavior of a Fayalitic Slag

Obiso

Yasuda

Voigt

et al. 2022

JOM

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The melting behavior of a fayalitic slag was investigated with computational fluid dynamics and validated with experimental data. A heating microscope was employed to perform a typical ash melting behavior (AMB) test, in order to gain information about the melting behavior of the slag. The numerical approach is based on using the volume of fluid (VOF) method, in order to track the interface between the slag and the gas phases, and on the enthalpy–porosity model, in order to simulate the slag as a phase change material (PCM). The combined VOF-PCM model was therefore applied to perform a parameter study on the mushy zone constant $$A_{\rm mushy}$$ A mushy , which enters the equations of the enthalpy–porosity sub-model and is an a priori unknown. The goal of the investigation was to determine the correct value for $$A_{\rm mushy}$$ A mushy , by comparing the numerical results to the AMB test.

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