Soft annealing productivity optimization

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@Article{Kovacic:2011:RMZ,
  author =       "Miha Kovacic and Bozidar Sarler",
  title =        "Soft annealing productivity optimization",
  journal =      "RMZ -- Materials and Geoenvironment",
  year =         "2011",
  volume =       "58",
  number =       "1",
  pages =        "29--38",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, steel, soft
                 annealing, productivity, hardness, modeling jeklo,
                 mehko zarjenje, produktivnost, trdota, genetsko
                 programiranje, modeliranje",
  ISSN =         "1408-7073",
  URL =          "http://www.rmz-mg.com/letniki/rmz58/RMZ58_0029-0038.pdf",
  size =         "9 pages",
  abstract =     "The optimal thermo-mechanical processing in steel
                 industry is difficult because of the multi-constituent
                 and multiphase character of the commercial steels,
                 variety of multi-constituent the possible processing
                 paths, and plant specific equipment characteristics.
                 This paper shows successful implementation of the
                 genetic programming approach for increasing the furnace
                 conveyor speed and consequently productivity of the
                 heat treatment furnace in the soft annealing process.
                 The data (222 samples covering 24 different steel
                 grades) on a furnace conveyor speed, chemical
                 composition of steel (weight percent of C, Cr, Mo, Ni
                 and V) and Brinell hardness before and after the soft
                 annealing were collected during daily production. On
                 the basis of the monitored data a mathematical model
                 for the hardness after the soft annealing was developed
                 by genetic programming. According to the modeled
                 influences on the hardness, the higher furnace conveyor
                 speed was attempted in practice. The experimental
                 results of the hardness after the soft annealing with
                 the increased conveyor speed and the predictions of the
                 mathematical model were compared within the agreement
                 of 3.24percent. The productivity of the soft annealing
                 process increased (from the furnace conveyor speed 3.2
                 m/h to 7 m/h) as a consequence of the used
                 computational intelligence approach.",
  abstract =     "Izvlecek: Zaradi tezko dolocljivih lastnosti
                 komercialnih jekel, raznolikosti tehnoloskih poti in
                 specificne opreme je optimalno termomehansko
                 procesiranje v jeklarstvu izredno problematicno. V
                 clanku je predstavljena uporaba genetskega pogramiranja
                 z namenom povecati hitrost transportnega traku zarilne
                 peci in posledicno produktivnost zarilne peci in
                 procesa zarjenja samega. Med tipicno proizvodnjo so
                 bili zbrani podatki (222 vzorcev, 24 kvalitet jekla) o
                 hitrosti peci, kemijski sestavi jekla (masni delezi C,
                 Cr, Mo, Ni in V) ter trdota po Brinellu pred mehkim
                 zarjenju in po njem. Na podlagi zbranih podatkov je bil
                 izdelan matematicni model trdote po mehkem zarjenju z
                 metodo genetskega programiranja. Glede na izracunane
                 vplive na trdoto po mehkem zarjenju smo povecali
                 hitrost zarjenja. Po povecanju hitrosti zarjenja se
                 izmerjene trdote materiala ujemajo z izracunanimi v
                 povprecju 3,24-odstotno. Produktivnost mehkega zarjenja
                 se je povecala iz 3,2 m/h na 7 m/h kot posledica umetne
                 inteligence.",
  notes =        "In English

                 STORE STEEL, d. o. o., Store, Slovenia

                 University of Nova Gorica, Laboratory for Multiphase
                 Processes, Nova Gorica, Slovenia

                 Published in Ljubljana, Slovenija
                 http://www.rmz-mg.com/contents.htm",
}

Genetic Programming entries for Miha Kovacic Bozidar Sarler

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