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3D Modeling of the Aggregation of Oxide Inclusions in a Liquid Steel Ladle: Two Numerical Approaches
Author(s) -
Daoud Ismael Lis Alves,
Rimbert Nicolas,
Jardy Alain,
Oesterlé Benoît,
Hans Stéphane,
Bellot JeanPierre
Publication year - 2011
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201000355
Subject(s) - ladle , materials science , mechanics , multiphase flow , population , quadrature (astronomy) , turbulence , oxide , liquid steel , computer simulation , mixing (physics) , population balance equation , nyström method , metallurgy , mathematics , engineering , mathematical analysis , integral equation , physics , demography , quantum mechanics , sociology , electrical engineering
The ladle treatment of liquid steel is mainly responsible for the steel cleanliness, since it generates as well as eliminates most of the oxide inclusions. Today, the combination of computational fluid dynamics and population balance modeling makes the numerical simulation of this complex three‐phase reactor possible. First, the comprehensive three‐dimensional turbulent multiphase flow model is developed to study the behavior of argon bubbles in liquid steel based on the geometry and operating conditions corresponding to the real industrial process. This simulation is validated by comparing the calculated mixing time with the experimental value predicted from ladle sampling. Then, the balanced equation for a population of oxide inclusions with aggregation mechanism is coupled with the hydrodynamic modeling. To obtain the solution of this equation two approaches are used: the classes method (CM) and the quadrature method of moments (QMOM). The simulation results show the equivalence of these methods and their respective advantages are presented.