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Application of the genetic algorithm to estimate the parameters related to the kinetics of the reduction of the iron ore, coal mixture

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Abstract

A novel methodology has been developed to calculate the kinetic parameters associated with reduction of ore-coal composite mixtures and to describe the time course of reduction of hematite to iron. The empirical parameters, namely, the three sets of activation energies and frequency factors, have been estimated by employing an evolutionary optimization tool, the genetic algorithm (GA). The model prediction matches well with the experimental literature data. The estimated activation energies are higher than the corresponding intrinsic values, indicating the role of heat transfer in the process.

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Authors and Affiliations

  1. the Department of Metallurgical & Materials Engineering, Indian Institute of Technology, 721 302, Kharagpur, India

    Amit Kumar (Undergraduate Student) & G. G. Roy (Associate Professor)

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  1. Amit Kumar
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  2. G. G. Roy
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Kumar, A., Roy, G.G. Application of the genetic algorithm to estimate the parameters related to the kinetics of the reduction of the iron ore, coal mixture. Metall Mater Trans B 36, 901–904 (2005). https://doi.org/10.1007/s11663-005-0094-0

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  • DOI: https://doi.org/10.1007/s11663-005-0094-0

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