HEATING MODELS USING ARTIFICIAL INTELLIGENCE

1 ŠPIČKA Ivo
Co-authors:
1 ZIMNÝ Ondřej 1 HEGER Milan 1 ŠPIČKOVÁ Dagmar
Institution:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, ivo.spicka@vsb.czondrej.zimny@vsb.cz, milan.heger@vsb.cz, dagmar.spickova.st@vsb.cz
Conference:
30th Anniversary International Conference on Metallurgy and Materials, Brno, Czech Republic, EU, May 26 - 28, 2021
Proceedings:
Proceedings 30th Anniversary International Conference on Metallurgy and Materials
Pages:
1421-1426
ISBN:
978-80-87294-99-4
ISSN:
2694-9296
Published:
15th September 2021
Proceedings of the conference have already been published in Scopus and we are waiting for evaluation and potential indexing in Web of Science.
Metrics:
375 views / 243 downloads
Abstract

The aim of the article is to show the use of artificial intelligence in improving the heating process in continuous industrial furnaces. To improve the heating in continuous furnaces, heating control based on models that consider the dimensions, material, and heating method can be used. These models can be built based on the classical description by differential or differential equations. The difficulties in solving them, especially considering the variable parameters of these equations, seem to be a reasonable possibility of using artificial intelligence tools, namely, genetic algorithms for parameter estimation and artificial neural networks, to create your own heating model.

Keywords: Metallurgy, furnaces, model, simulation, artificial intelligence

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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