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

Kumar, A; Roy, G G

doi:10.1007/s11663-005-0094-0

Title: 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.

Authors:

Kumar, A; Roy, G G ^[1]

Indian Institute of Technology, Kharagpur (India)

Publication Date:: Thu Dec 01 00:00:00 EST 2005

OSTI Identifier:: 20700968

Resource Type:: Journal Article

Journal Name:: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Additional Journal Information:: Journal Volume: 36; Journal Issue: 6; Journal ID: ISSN 1073-5615

Country of Publication:: United States

Language:: English

Subject:: 01 COAL, LIGNITE, AND PEAT; ALGORITHMS; REDUCTION; IRON ORES; COAL; MIXTURES; IRON; ACTIVATION ENERGY; CHEMICAL REACTION KINETICS; HEAT TRANSFER

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                    Kumar, A, and 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.  United States: N. p., 2005. 
        Web.  doi:10.1007/s11663-005-0094-0.

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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.  United States.  https://doi.org/10.1007/s11663-005-0094-0

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                    Kumar, A, and Roy, G G. 2005.  
        "Application of the genetic algorithm to estimate the parameters related to the kinetics of the reduction of the iron ore, coal mixture".  United States.  https://doi.org/10.1007/s11663-005-0094-0.

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@article{osti_20700968,

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

  author       = {Kumar, A and Roy, G G},

  abstractNote = {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.},

  doi          = {10.1007/s11663-005-0094-0},

  url          = {https://www.osti.gov/biblio/20700968},
  journal      = {Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science},

  issn         = {1073-5615},

  number       = 6,

  volume       = 36,

  place        = {United States},

  year         = {Thu Dec 01 00:00:00 EST 2005},

  month        = {Thu Dec 01 00:00:00 EST 2005}

}

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