Modelling of cooling of coiled strips in bell-type annealing furnaces using artificial intelligence methods

Jolanta Talar, Jan Kusiak

AGH University of Science and Technology.

DOI:

https://doi.org/10.7494/cmms.2004.3.0059

Abstract:

The objective of the paper is evaluation of effectiveness of the artificial intelligence methods in modelling of cooling process in bell-type annealing furnaces. Artificial neural networks (ANN) and expert system (ES) – based on the ID3 algorithm – were applied to the approximation of cooling curves in bell-type annealing furnaces. The results of the artificial intelligence approach were compared with the linear and non-linear regression methods. The results of modelling of cooling process by the classical model of heat exchange are also presented in the paper.

Cite as:

Talar, J., Kusiak, J. (2004). Modelling of cooling of coiled strips in bell-type annealing furnaces using artificial intelligence methods. Computer Methods in Materials Science, 4(3), 98 – 104. https://doi.org/10.7494/cmms.2004.3.0059

Article (PDF):

Keywords:

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