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Original Articles

Process Control and Optimization of the AOD Process Using Genetic Algorithm

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Pages 401-408 | Published online: 07 Feb 2007

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Read on this site (4)

N. Chakraborti. (2005) Genetic algorithms in these changing steel times. Ironmaking & Steelmaking 32:5, pages 401-404.
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A. Kumar, D. Sahoo, S. Chakraborty & N. Chakraborti. (2005) Gas Injection in Steelmaking Vessels: Coupling a Fluid Dynamic Analysis with a Genetic Algorithms-Based Pareto-Optimality. Materials and Manufacturing Processes 20:3, pages 363-379.
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N. Chakraborti. (2004) Genetic algorithms in materials design and processing. International Materials Reviews 49:3-4, pages 246-260.
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Articles from other publishers (4)

Tero Vuolio, Ville-Valtteri Visuri, Sakari Tuomikoski, Timo Paananen & Timo Fabritius. (2018) Data-Driven Mathematical Modeling of the Effect of Particle Size Distribution on the Transitory Reaction Kinetics of Hot Metal Desulfurization. Metallurgical and Materials Transactions B 49:5, pages 2692-2708.
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Ville-Valtteri Visuri, Mika Järvinen, Aki Kärnä, Petri Sulasalmi, Eetu-Pekka Heikkinen, Pentti Kupari & Timo Fabritius. (2017) A Mathematical Model for Reactions During Top-Blowing in the AOD Process: Derivation of the Model. Metallurgical and Materials Transactions B 48:3, pages 1850-1867.
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Carlos Spinola, Carlos J. Galvez-Fernandez, Jose Munoz-Perez, Javier Jerrer, Jose Ma Bonelo & Julio Vizoso. (2006) An Empirical Model of the Decarburization Process in Stainless Steel Production. An Empirical Model of the Decarburization Process in Stainless Steel Production.
V. M. Sanchez-Corrales, J. A. Valera-Gonzalez, M. Perez-Tello & P. Flores-Perez. (2004) Mass balance calculations in copper flash smelting by means of genetic algorithms. JOM 56:12, pages 29-32.
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