Optimisation of Operator Support Systems through Artificial Intelligence for the Cast Steel Industry: A Case for Optimisation of the Oxygen Blowing Process Based on Machine Learning Algorithms

Álvaro Ojeda Roldán (Corresponding Author), Gert Gassner, Martin Schlautmann, Luis Enrique Acevedo Galicia, Doru Stefan Andreiana, Mikko Heiskanen, Carlos Leyva Guerrero, Fernando Dorado Navas, Alejandro Del Real Torres

Research output: Contribution to journalArticleScientificpeer-review

5 Downloads (Pure)

Abstract

The processes involved in the metallurgical industry consume significant amounts of energy and materials, so improving their control would result in considerable improvements in the efficient use of these resources. This study is part of the MORSE H2020 Project, and it aims to implement an operator support system that improves the efficiency of the oxygen blowing process of a real cast steel foundry. For this purpose, a machine learning agent is developed according to a reinforcement learning method suitable for the dynamics of the oxygen blowing process in the cast steel factory. This reinforcement learning agent is trained with both historical data provided by the company and data generated by an external model. The trained agent will be the basis of the operator support system that will be integrated into the factory, allowing the agent to continue improving with new and real experience. The results show that the suggestions of the agent improve as it gains experience, and consequently the efficiency of the process also improves. As a result, the success rate of the process increases by 12%.
Original languageEnglish
Article number34
JournalJournal of Manufacturing and Materials Processing
Volume6
Issue number2
DOIs
Publication statusPublished - 12 Mar 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Artificial intelligence
  • Cast steel
  • Machine learning
  • Oxygen blowing process
  • Q-learning
  • Reinforcement learning
  • Training

Fingerprint

Dive into the research topics of 'Optimisation of Operator Support Systems through Artificial Intelligence for the Cast Steel Industry: A Case for Optimisation of the Oxygen Blowing Process Based on Machine Learning Algorithms'. Together they form a unique fingerprint.

Cite this