Use of Artificial Neural Networks in Steelmaking Oxygen Converters - Farage David, Felipe
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Decarburization is the most important reaction in the primary refining process via Oxygen Converter, since it can govern the productivity of an entire melt shop. Thus, the control of the main variables of this process such as the end time of oxygen blowing and the final carbon content of the bath is of utmost importance. For that, this book deals with the development of a mathematical model, using tools of artificial intelligence such as artificial neural nets (RNAs), to predict these variables from the analysis of the oxygen converter outlet gases. The model calculates the end blow time and…mehr

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Produktbeschreibung
Decarburization is the most important reaction in the primary refining process via Oxygen Converter, since it can govern the productivity of an entire melt shop. Thus, the control of the main variables of this process such as the end time of oxygen blowing and the final carbon content of the bath is of utmost importance. For that, this book deals with the development of a mathematical model, using tools of artificial intelligence such as artificial neural nets (RNAs), to predict these variables from the analysis of the oxygen converter outlet gases. The model calculates the end blow time and the final carbon content in the liquid steel and it showed good correlation with real data from a steel mill.
Autorenporträt
Professor do Instituto Federal de Minas Gerais, é pesquisador líder do Grupo de Pesquisa do CNPq denominado "Núcleo de Pesquisa em Processos e Produtos Siderúrgicos". Possui experiência na área Siderúrgica como engenheiro pesquisador da Gerdau S.A. na área de desenvolvimento de novos aços.