University of Oulu

Vuolio, T., Visuri, VV., Tuomikoski, S. et al. Metall and Materi Trans B (2018) 49: 2692. https://doi.org/10.1007/s11663-018-1318-4

Data-driven mathematical modeling of the effect of particle size distribution on the transitory reaction kinetics of hot metal desulfurization

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Author: Vuolio, Tero1; Visuri, Ville-Valtteri1; Tuomikoski, Sakari2;
Organizations: 1Process Metallurgy Research Unit, University of Oulu, P.O. Box 4300, 90014 Oulu, Finland
2SSAB Europe Oy, Rautaruukintie 155, P.O. Box 93, 92101 Raahe, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe201902256240
Language: English
Published: Springer Nature, 2018
Publish Date: 2019-06-25
Description:

Abstract

The aim of this work was to develop a prediction model for hot metal desulfurization. More specifically, the study aimed at finding a set of explanatory variables that are mandatory in prediction of the kinetics of the lime-based transitory desulfurization reaction and evolution of the sulfur content in the hot metal. The prediction models were built through multivariable analysis of process data and phenomena-based simulations. The model parameters for the suggested model types are identified by solving multivariable least-squares cost functions with suitable solution strategies. One conclusion we arrived at was that in order to accurately predict the rate of desulfurization, it is necessary to know the particle size distribution of the desulfurization reagent. It was also observed that a genetic algorithm can be successfully applied in numerical parameter identification of the proposed model type. It was found that even a very simplistic parameterized expression for the first-order rate constant provides more accurate prediction for the end content of sulfur compared to more complex models, if the data set applied for the modeling contains the adequate information.

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Series: Metallurgical and materials transactions. B, Process metallurgy and materials processing science
ISSN: 1073-5615
ISSN-E: 1543-1916
ISSN-L: 1073-5615
Volume: 49
Issue: 5
Pages: 2692 - 2708
DOI: 10.1007/s11663-018-1318-4
OADOI: https://oadoi.org/10.1007/s11663-018-1318-4
Type of Publication: A1 Journal article – refereed
Field of Science: 215 Chemical engineering
Subjects:
Funding: This work was conducted within the Flexible and Adaptive Operations in Metal Production (FLEX) research program funded by Business Finland.
Copyright information: © The Minerals, Metals & Materials Society and ASM International 2018. This is a post-peer-review, pre-copyedit version of an article published in Metall and Materi Trans B. The final authenticated version is available online at: https://doi.org/10.1007/s11663-018-1318-4.