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Pré-Publication, Document De Travail Année : 2023

Investigating Chemical Heterogeneity in Inclusion Population: A multi-variate Population Balance Model Study in Gas-Stirred Ladles

Thibault Quatravaux
Jean-Pierre Bellot

Résumé

Achieving high mechanical performance in metallic materials requires precise control of the inclusion population, and the treatment of liquid steel in gas-stirred ladles is crucial for inclusion cleanliness in specialty steels. Tracking inclusion properties, such as size, chemical composition, etc. is crucial in modeling of inclusion behavior during liquid metal treatment. A comprehensive multi-variate population balance model (PBM) is developed to track the temporal evolution of the inclusion population inside the ladle. The model is developed by incorporating micro-mechanisms such as aggregation of inclusions, upward sedimentation of inclusions, interception of inclusions by rising bubbles, and capture of inclusions in the slag at the top. The bivariate population balance equation is solved using a weighted finite volume scheme to account for the chemical heterogeneity of inclusions. The simulation results, when applied to an industrial gas-stirred ladle operation, show the efficiency of this modelling approach and offer a way to quantify the respective roles of different mechanisms on inclusion removal rate. Furthermore, the PBM has produced new results for multi-component inclusion systems, including the distribution of inclusions with respect to their chemical components.
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Dates et versions

hal-04197561 , version 1 (06-09-2023)

Identifiants

  • HAL Id : hal-04197561 , version 1

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Ashok Kumar Das, Jean-Sébastien Kroll-Rabotin, Thibault Quatravaux, Jean-Pierre Bellot. Investigating Chemical Heterogeneity in Inclusion Population: A multi-variate Population Balance Model Study in Gas-Stirred Ladles. 2023. ⟨hal-04197561⟩
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