University of Oulu

Pauna, H., Aula, M., Huttula, M. and Fabritius, T. (2021), Quantifying the CaO and CaF2 content of industrial ladle furnace slag with optical emissions measured through the casting spout. steel research int.. Accepted Author Manuscript. https://doi.org/10.1002/srin.202100519

Quantifying the CaO and CaF₂ content of industrial ladle furnace slag with optical emissions measured through the casting spout

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Author: Pauna, Henri1; Aula, Matti1; Huttula, Marko2;
Organizations: 1Process Metallurgy Research Unit, P.O. Box 4300, FI-90014, University of Oulu, Finland
2Nano and Molecular Systems Research Unit, P.O. Box 3000, FI-90014, University of Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2021101551246
Language: English
Published: John Wiley & Sons, 2021
Publish Date: 2022-10-05
Description:

Abstract

CaO and CaF₂ are important slag constituents and additive materials in secondary metallurgy. Optimization of the quantity of these compounds has a key role in adjusting the slag chemistry for optimal refining properties. In this study, the CaO and CaF₂ content of the slag has been analyzed with optical emissions from an industrial ladle furnace measured through the casting spout. Molecular optical emissions from CaO and CaF were observed directly from the molten bath and the arc, whereas atomic emission lines from the slag components were detected in the arc spectra. Optical emissions from CaO, CaF, and atomic calcium lines have been correlated with the CaO and CaF₂ content of the slag. The CaO and CaF₂ content of the slag could be evaluated from the spectra ranging from 10 to 41 min before the X-ray fluorescence (XRF) analysis was finished. The mean differences between the OES and XRF analysis were 0.59 % and 0.61 % for CaF₂, and 2.19 % and 0.67 % for CaO when using the spectra from the molten bath and the arc, respectively. The method has the potential to work as an in situ online measurement system due to real-time data acquisition and fast computation times.

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Series: Steel research international
ISSN: 1611-3683
ISSN-E: 1869-344X
ISSN-L: 1611-3683
Volume: In press
DOI: 10.1002/srin.202100519
OADOI: https://oadoi.org/10.1002/srin.202100519
Type of Publication: A1 Journal article – refereed
Field of Science: 114 Physical sciences
116 Chemical sciences
Subjects:
Funding: We acknowledge the support of the Research Fund for Coal and Steel under grant agreement No. 709923, Academy of Finland for Genome of Steel grant No. 311934, Business Finland for grant No. 4478/31/2019.
Academy of Finland Grant Number: 311934
Detailed Information: 311934 (Academy of Finland Funding decision)
Copyright information: This article is protected by copyright. All rights reserved