Numerical experiments on mathematical model of foaming with gas injection

Authors

  • Kyrylo Krasnikov
  • Mykyta Lyzhov

DOI:

https://doi.org/10.34185/1562-9945-1-132-2021-02

Keywords:

обчислювальна динаміка рідини, вільна поверхня, перетворювач кисню, газошлакова піна

Abstract

Oxygen converters are often used in steelmaking to remove carbon from pig iron by oxygen blowing and to melt metal scrap as step on the way for producing steel. Slag on the surface of melt inside convertor slows down gas bubbles, which makes great amount of emul-sion or foam. Sometime the level of foam can exceed the height of converter bath. To prevent this, metallurgists need to predict such situations and decrease gas blowing accordingly at dangerous periods of converting. After many years of using oxygen converters metallurgists get good experience and know safe modes of this process. However these modes can be im-proved by mathematical modeling, which takes popularity in our days because it has lower costs than real experiments in a plant or laboratory. Hydrodynamic processes in converter are complex so mathematical model needs to avoid oversimplification and to take into ac-count important details about them. In previous work model is presented with details about equations (Navier-Stokes) and boundary conditions. Numerical solution is simpler to get than analytical one for such complex model. To check adequacy of the model the following assumptions are used: total amount of gas must be conserved in a case of closed volume as well as field of pressure must increase correspondingly to received amount of gas; in case of moving free surface a level of foam must change accordingly to gas income and return to an initial value after all gas are gone from fluid.
Presented figure illustrate change of foam level in a case when gas comes to the melt during the first 20 seconds with linear decrease to zero at 20 second. Computational domain is represented by 72x144 cells. Computation performance decreases when level of foam grows, because more cells take part in solving. Other figures show gas field (quantity is rep-resented by color gradient) and speed field (drew by arrows with related length) for two cas-es: when volume is closed and when surface of melt is moving. In closed volume the men-tioned above assumptions are checked and correspondent chart with gas and pressure is presented. Thus a conclusion is made about qualitative adequacy of model. 2D visualization is made by computer program developed using popular language.

References

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Published

2021-03-08