Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/102552
Type: Artigo de evento
Title: Development Of A Neural Network Coupled With A Mathematical Model To Optimize The Secondary Cooling Zones In The Continuous Casting Of Steel Billets [acoplamento De Técnicas De Redes Neurais E Modelagem Matemática Da Solidificação Para Aotimização Do Resfriamento Secundário No Processo De Lingotamento Contínuo De Aços]
Author: Fortaleza E.
Sotelo M.O.
Machado T.F.
Frick C.R.
Dos Santos C.A.
Spim Jr. J.A.
Garcia A.
Abstract: This work presents the insertion of an artificial intelligence technique (neural network) applied to continuous casting billet process. It was developed a neural network algorithm, which works linked to a mathematical model to determine the optimum values for the water flow rates in the secondary cooling zones. Firstly, the results obtained by the mathematical model were validated against experimental data (industrial) and a good agreement has been observed, in a second step these results were used by the neural network algorithm for determining optimum settings of water flow rates in the different sprays zones, which are conducive to the best quality of the solidified ingot. With the new set of values for flow rates, another simulation was carried out analyzing the solidification process during continuous casting in order to attain metallurgical restrictions concerning the reheating of strand surface temperature and metallurgical length.
Editor: 
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-1842472020&partnerID=40&md5=4fc85aec8725d378e3c20fe5d8da5fb0
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

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