University of Oulu

Pauna, H., Aula, M., Willms, T., Echterhof, T., Huttula, M., & Fabritius, T. (2022). Optical emission spectroscopy as a method to improve the process automation of electric arc furnaces and ladle furnaces. IFAC-PapersOnLine, 55(2), 78–83.

Optical emission spectroscopy as a method to improve the process automation of electric arc furnaces and ladle furnaces

Saved in:
Author: Pauna, H.1; Aula, M.2; Willms, T.3;
Organizations: 1Process Metallurgy Research Unit, P.O. Box 4300, FI-90014, University of Oulu, Finland
2Luxmet Ltd, Paavo Havaksen tie 5 D, 90570 Oulu, Finland
3RWTH Aachen University, Department of Industrial Furnaces and Heat Engineering, Kopernikusstrasse 10, 52074 Aachen, Germany
4Nano and Molecular Systems Research Unit, P.O. Box 3000, FI-90014, University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link:
Language: English
Published: Elsevier, 2022
Publish Date: 2022-06-14


The steel industry is on its way towards more environmentally friendly steelmaking. To achieve the ambitious goals of significant CO₂ emissions reduction, new processes, practices, sources of on-line data, and digitalization together with automation will be required. To address these issues, this paper discusses optical emission spectroscopy (OES) as an on-line data acquisition method for industrial electric arc furnaces and ladle furnaces. The current state of the OES as a measurement method in the steel industry together with prospects of new applications are presented with examples based on the authors’ prior research.

see all

Series: IFAC proceedings volumes
ISSN: 1474-6670
ISSN-E: 2405-8963
ISSN-L: 1474-6670
Volume: 55
Issue: 2
Pages: 78 - 83
DOI: 10.1016/j.ifacol.2022.04.173
Host publication editor: Cohen, Yuval
Conference: 14th IFAC Workshop on Intelligent Manufacturing Systems IMS 2022
Type of Publication: A4 Article in conference proceedings
Field of Science: 215 Chemical engineering
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, and Business Finland for grant No. 4478/31/2019.
Academy of Finland Grant Number: 311934
Detailed Information: 311934 (Academy of Finland Funding decision)
Copyright information: Copyright © The Authors. This is an open access article under the CC BY-NC-ND license (