Ladle-Nozzle Opening and Genetic Programming

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@Article{kovacic:2014:MT,
  author =       "Miha Kovacic and Beno Jurjovec and Luka Krajnc",
  title =        "Ladle-Nozzle Opening and Genetic Programming",
  journal =      "Materials and technology",
  year =         "2014",
  volume =       "48",
  number =       "1",
  pages =        "23--26",
  month =        jan # "-" # feb,
  publisher =    "Institute of Metals and Technology, Ljubljana,
                 Slovenia",
  keywords =     "genetic algorithms, genetic programming, secondary
                 metallurgy, ladle-nozzle opening, modelling, sekundarna
                 metalurgija, podziganje, modeliranje, genetsko
                 programiranje",
  ISSN =         "1580-2949",
  language =     "English",
  URL =          "http://mit.imt.si/Revija/izvodi/mit141/kovacic.htm",
  URL =          "http://mit.imt.si/Revija/izvodi/mit141/kovacic.pdf",
  size =         "4 pages",
  abstract =     "Store Steel Ltd. faces a huge problem with the ladle
                 nozzle opening during the production of a wide variety
                 of steel grades. After a 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 frequent clogging the ladle nozzle must
                 be opened with oxygen which can cause melt pollution.
                 The purpose of this paper is to present an attempt to
                 reduce ladle-nozzle openings. In this attempt the
                 genetic-programming method was used. The experimental
                 data on 115 consecutively cast heats was used. The
                 steel making-technology number, the batch sequence
                 number, the time spend for secondary metallurgy, the
                 sustainability of the upper-nozzle brick, the
                 sustainability of the nozzle seating block, the
                 sustainability of the lower-nozzle brick, the ladle
                 number, the sustainability of the ladle and of the
                 foreman of secondary metallurgy and the melt chemical
                 composition (Al, C, Mn and Si) were taken into account
                 for the prediction of the ladle-nozzle opening. The
                 best genetically developed model for the
                 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 to change several steelmaking
                 technologies",
  abstract_sc =  "Store Steel, d. o. o., se spopada s tezavo podziganja
                 izlivka ponve pri izdelavi ogromnega stevila razlicnih
                 kvalitet jekla. Po obdelavi na ponovcni peci se taline
                 skozi drsno zapiralo in izlivek prelije v vmesno
                 ponovco na kontinuirni livni napravi. Zaradi pogostega
                 masenja se izlivki odpirajo s kisikovim kopjem, kar
                 lahko povzroca onesnazenje taline. Namen studije je bil
                 zmanjsati stevilo podziganj. Uporabljena je bila metoda
                 genetskega programiranja. Pri napovedovanju podziganja
                 smo upostevali stevilko tehnoloskega postopka izdelave
                 jekla, zaporedno stevilko sarze pri sekvenci, cas
                 sekundarne metalurgije, vzdrznost zunanjega izlivka ter
                 ponovce, ponovcarja in kemicno sestavo taline (Al, C,
                 Mn in Si). Najboljsi genetsko dobljeni model je
                 napovedal 107 od 115 dejansko izvrsenih podziganj.
                 Rezultati modeliranja z genetskim programiranjem so
                 privedli do sprememb vec tehnologij izdelave jekla.",
  notes =        "MTAEC9 48(1)23(2014)
                 http://www.imt.si/materiali-tehnologije/",
}

Genetic Programming entries for Miha Kovacic Beno Jurjovec Luka Krajnc

Citations