Crack presence modeling after rolling by genetic programming

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@Article{Kovacic:2009:RMZ,
  author =       "Miha Kovacic and Katja Mackosek and Andrej Mihevc and 
                 Tomaz Marolt",
  title =        "Crack presence modeling after rolling by genetic
                 programming",
  title2 =       "Modeliranje prisotnosti razpok z genetskim
                 programiranjem",
  journal =      "RMZ - MATERIALS AND GEOENVIRONMENT",
  year =         "2009",
  volume =       "56",
  number =       "1",
  pages =        "24--29",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, steel,
                 cracks, modeling, jeklo, razpoke, modeliranje, genetsko
                 programiranje",
  ISSN =         "0035-9645",
  URL =          "http://www.rmz-mg.com/ENG_1.htm",
  URL =          "http://www.rmz-mg.com/letniki/rmz56/RMZ56_0024-0029.pdf",
  size =         "6 pages",
  abstract =     "The optimal material processing in steel industry is
                 difficult because of the multi-constituent and
                 multiphase character of the commercial steels, variety
                 of the possible processing paths, and plant specific
                 equipment characteristics. This paper shows
                 implementation of the genetic programming approach for
                 crack presence modeling after rolling. The data (110
                 samples covering 7 different steel grades) on diffusive
                 annealing, last pass rolling temperature, chemical
                 composition of steel (weight percent of Mn, Cr, Mo and
                 V), steel bar dimensions (width and thickness), heating
                 time of the first and the last batch billet were
                 collected during daily production. The manual
                 ultrasound method was used for crack detection. On the
                 basis of the monitored data a mathematical model for
                 crack presence was developed by genetic programming.
                 For the modeling it was adopt that after the rolling
                 the material was treated equally. According the
                 modeling results it is possible to assume that the
                 material processing after rolling is probably very
                 influential on crack occurrence.",
  abstract =     "Optimalna obdelava materiala v jeklarstvu je v
                 splo\u0161nem ote\u017eena zaradi raznolikosti
                 komercialnih jekel, mo\u017enih obdelovalnih procesov
                 in specifi\u010dne obdelovalne in procesne opreme. V
                 \u010dlanku je opisana uporaba metode genetskega
                 programiranja za modeliranje prisotnosti razpok v jeklu
                 po valjanju. Podatki (110 primerov, 7 razli\u010dnih
                 kvalitet) so zbrani med dnevno proizvodnjo: kemijska
                 sestava (masni procenti Mn, Cr, Mo in V), \u0161irina
                 in debelina palice ter \u010das ogrevanja prve in
                 zadnje gredice. Prisotnost napak smo ugotavljali z
                 ro\u010dnim ultrazvokom. Na podlagi monitoringa
                 podatkov je bil razvit matemati\u010dni model za
                 ugotavljanje prisotnosti razpok v jeklu. Pri
                 modeliranju smo predpostavili, da je bil postopek po
                 valjanju (ohlajevanje) za ves material enak. Rezultati
                 modeliranja ka\u017eejo na to, da je rokovanje po
                 valjanju izredno pomembno za pojav razpok.",
  notes =        "Store Steel Ltd.",
}

Genetic Programming entries for Miha Kovacic Katja Mackosek Andrej Mihevc Tomaz Marolt

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