University of Oulu

Alatarvas, T., Vuolio, T., Heikkinen, E., Shu, Q. and Fabritius, T. (2020), Prediction of Inclusion State in Molten Steel by Morphology and Appearance of Inclusions in Liquid Steel Samples. steel research int., 91: 1900424. doi:10.1002/srin.20190042

Prediction of inclusion state in molten steel by morphology and appearance of inclusions in liquid steel samples

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Author: Alatarvas, Tuomas1; Vuolio, Tero1; Heikkinen, Eetu-Pekka1;
Organizations: 1Process Metallurgy Research Unit, University of Oulu, P.O. Box 4300, FI–90014 Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2019121848670
Language: English
Published: John Wiley & Sons, 2020
Publish Date: 2020-10-17
Description:

Abstract

Inclusions are unwanted but to some extent inevitable in molten and solid steel. Usually solid inclusions are considered to be the most harmful. Inclusions can be converted into a less detrimental form with calcium treatment. The success of calcium treatment can be evaluated by analyzing the state of the inclusion population. The state of inclusions is usually determined by computational thermodynamics making use of the chemical composition of inclusions and system conditions. In this process, liquid and solid inclusions are usually distinguished. Herein, a classification procedure which combines computational thermodynamics and data‐driven reasoning is presented. The objective of this work is to study the predictability of the inclusion state based on its appearance and morphological properties. As a result, Al₂O₃–CaO–MgO–CaS inclusions are classified as liquid and solid ones based on their aspect ratio, equivalent circle diameter, and mean gray value with a recall of 82.7% and precision of 84.9%, by making use of a logistic regression‐based classifier.

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Series: Steel research international
ISSN: 1611-3683
ISSN-E: 1869-344X
ISSN-L: 1611-3683
Volume: 91
Issue: 2
Article number: 1900424
DOI: 10.1002/srin.201900424
OADOI: https://oadoi.org/10.1002/srin.201900424
Type of Publication: A1 Journal article – refereed
Field of Science: 215 Chemical engineering
Subjects:
Funding: This research was carried out under the Academy of Finland, project no. 311934 (Genome of Steel).
Academy of Finland Grant Number: 311934
Detailed Information: 311934 (Academy of Finland Funding decision)
Copyright information: © 2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is the peer reviewed version of the following article: Alatarvas, T., Vuolio, T., Heikkinen, E., Shu, Q. and Fabritius, T. (2020), Prediction of Inclusion State in Molten Steel by Morphology and Appearance of Inclusions in Liquid Steel Samples. steel research int., 91: 1900424. doi:10.1002/srin.20190042. doi:10.1002/srin.201900424, which has been published in final form at https://doi.org/10.1002/srin.201900424. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.