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Fluid flow and mixing in secondary metallurgy
Author(s) -
Oeters Franz,
Pluschkell Wolfgang,
Steinmetz Eberhard,
Wilhelmi Herbert
Publication year - 1988
Publication title -
steel research
Language(s) - English
Resource type - Journals
eISSN - 1869-344X
pISSN - 0177-4832
DOI - 10.1002/srin.198801630
Subject(s) - ladle , mixing (physics) , mechanics , turbulence , flow (mathematics) , water model , tuyere , nozzle , tundish , fluid dynamics , plume , volumetric flow rate , metallurgy , materials science , chemistry , mechanical engineering , continuous casting , thermodynamics , blast furnace , engineering , physics , computational chemistry , quantum mechanics , molecular dynamics
Mixing in metallurgical vessels is determined by bulk flow, turbulence and diffusion. In this presentation, the main features of mixing liquid steel by gas stirring are discussed. The criteria for bubbling and jetting during gas injection are considered including interaction of powder load on flow regimes. It is of interest to know the domains of bubbling and jetting behaviour in order to minimize the effect of back attack which is responsible for additional wear of bottom linings and tuyere pipes. Quantitative information is given on velocity, the radius and the pumping capacity of the buoyant plume. The relations lead to the conclusion that the gas flow should be apportioned to two or more plugs in order to increase the efficiency of the pumping effect. Furthermore, the macroscopic flow pattern is substantially influenced by the ratio of height to diameter of the ladle. Especially at high ratios dead volumes near the ladle bottom are observed. Further examples for the influence of fluid flow on reactions, dispersing and separating in the ladle and tundish are given. At first approach, mixing time depends on the gas flow rate or on the specific power input. But the details are much more complicated. It is shown that the mixing process can be described by two types of models among others: the turbulent recirculation model and the model of partial volumes. The comparison of calculated concentration‐time‐dependencies with plant results confirms the practicability and usefulness of the model of partial volumes. It is also concluded that the water model results for ladles may be transferred to plant conditions. In total all examples that are discussed emphasize the great significance of model simulations and model calculations as instruments for process improvement and process development.