Model of Ladle Nozzle Opening based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{Kovacic:2012:IMT,
  author =       "Miha Kovacic and Beno Jurjovec and Luka Krajnc",
  title =        "Model of Ladle Nozzle Opening based on Genetic
                 Programming",
  booktitle =    "20th Jubilee Conference on Materials and Technology",
  year =         "2012",
  editor =       "Matjaz Godec and Crtomir Donik and Irena Paulin and 
                 Aleksandra Kocijan",
  address =      "Portoro, Slovenia",
  month =        "17-19 " # oct,
  publisher =    "Institute of Metals and Technology, Ljubljana,
                 Slovenia",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://konferenca2012.imt.si/fileadmin/dokumenti/20.konferenca/Book_of_abstracts.pdf",
  abstract =     "Store Steel Ltd. faces a huge problem with ladle
                 nozzle opening during the production of a wide variety
                 of steel grades. After the ladle treatment the steel
                 melt is poured from the ladle through the sliding gate
                 and the nozzle into the tundish on the continuous
                 casting machine. Due to often cloggings the ladle
                 nozzle must be opened with the oxygen which can cause
                 melt pollution. The purpose of this paper is to present
                 the attempt for reducing ladle nozzle openings. In this
                 attempt genetic programming method was used. The
                 experimental data on 115 consequently casted heats was
                 used. The steelmaking technology, number of heats in
                 the sequence, ladle treatment time, inner and outer
                 ladle nozzle wear, ladle number, ladle wear, operator
                 number and melt chemical composition (Al, C, Mn and Si)
                 were taken into account for the prediction of ladle
                 nozzle opening. The best genetically developed model
                 for ladle nozzle opening prediction correctly predicts
                 107 out of 115 situations of opening the ladle. The
                 results of the genetic programming based modelling have
                 been used in practice for the changing of several
                 steelmaking technologies.",
  notes =        "Institut za kovinske materiale in tehnologije,
                 Ljubljana, Lepi pot 11, Ljubljana, Slovenija

                 See also \cite{kovacic:2014:MT} KomPlasTech 2013
                 \cite{Kovacic:2013:KomPlasTech} and
                 \cite{Kovacic:2013:CMMS}
                 http://komplastech.agh.edu.pl/utils.php?op=abstract_list
                 31 Ladle nozzle opening and genetic programming
                 Kovacic, Miha;Jurjovec, Beno;Krajnc, Luka Conference
                 Main Stream",
}

Genetic Programming entries for Miha Kovacic Beno Jurjovec Luka Krajnc

Citations