Use of Artificial Neural Networks in Steelmaking Oxygen Converters: Prediction of the end of blow and the final carbon content of liquid steel. - Couverture souple
Synopsis
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.
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Use of Artificial Neural Networks in Steelmaking Oxygen Converters
Edité par
Sciencia Scripts Mai 2020, 2020
ISBN 10 : 6200928231
ISBN 13 : 9786200928238
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 60 pp. Englisch. N° de réf. du vendeur 9786200928238
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Farage David, F: Use of Artificial Neural Networks in Steelm
Edité par
Sciencia Scripts, 2020
ISBN 10 : 6200928231
ISBN 13 : 9786200928238
Neuf
Couverture souple
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Use of Artificial Neural Networks in Steelmaking Oxygen Converters
Edité par
Sciencia Scripts Mai 2020, 2020
ISBN 10 : 6200928231
ISBN 13 : 9786200928238
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. N° de réf. du vendeur 9786200928238
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Use of Artificial Neural Networks in Steelmaking Oxygen Converters : Prediction of the end of blow and the final carbon content of liquid steel.
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9786200928238
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Use of Artificial Neural Networks in Steelmaking Oxygen Converters | Prediction of the end of blow and the final carbon content of liquid steel.
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Taschenbuch. Etat : Neu. Use of Artificial Neural Networks in Steelmaking Oxygen Converters | Prediction of the end of blow and the final carbon content of liquid steel. | Felipe Farage David | Taschenbuch | 60 S. | Englisch | 2020 | Sciencia Scripts | EAN 9786200928238 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 118554697
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