Model-based identification and analysis of hot metal desulphurisation

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

Linnanmaa, auditorium L10. Remote connection: https://oulu.zoom.us/j/61781825657

Topic of the dissertation

Model-based identification and analysis of hot metal desulphurisation

Doctoral candidate

Master of Science (Tech.) Tero Vuolio

Faculty and unit

University of Oulu Graduate School, Faculty of Technology, Process Metallurgy Research Unit

Subject of study

Process Metallurgy

Opponent

Docent Mikko Helle, Åbo Akademi University

Custos

Professori Timo Fabritius, University of Oulu

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Modelling of hot metal desulphurisation

Sulphur is considered one of the main impurities in steel. Hot metal desulphurisation serves as the main unit process for sulphur removal in the production of steel. The main objective of this thesis is to identify the relevant phenomena and attributes needed to construct a mathematical model suitable for online use.

The study also includes a detailed literature review on the modelling of hot metal desulphurisation, which considers a categorisation of the existing models for the process, but also outlines the main uncertainties in the process that may decrease the prediction performance of the existing odels.

The results of this study show that in the case of lime-based hot metal desulphurisation, the major factors inducing variance in the end content of sulphur are related to the properties of the reagent.
Last updated: 29.1.2021