Modeling of Hot Yield Stress Curves for Carbon Silicon Steel by Genetic Programming

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@Article{kovacic:2005:MMP,
  author =       "Miha Kovacic and Miran Brezocnik and Radomir Turk",
  title =        "Modeling of Hot Yield Stress Curves for Carbon Silicon
                 Steel by Genetic Programming",
  journal =      "Materials and Manufacturing Processes",
  year =         "2005",
  volume =       "20",
  number =       "3",
  pages =        "543--551",
  month =        may,
  keywords =     "genetic algorithms, genetic programming, Carbon
                 silicon steel, Hot yield stress curves",
  ISSN =         "1532-2475",
  URL =          "http://taylorandfrancis.metapress.com/openurl.asp?genre=article&eissn=1532-2475&volume=20&issue=3&spage=543",
  DOI =          "doi:10.1081/AMP-200053572",
  abstract =     "The shape of hot yield stress curves (surfaces) is
                 complicated because of the microstructural changes and
                 phase transformations that occur during the hot working
                 process. Such dependencies are difficult to describe
                 mathematically. In this article, modelling of hot yield
                 stress curves for carbon silicon steel (electric steel,
                 1.87%Si, 0.05?0.08%C) by genetic programming was
                 carried out. Strain rate, strain, and temperature were
                 the parameters monitored experimentally. On the basis
                 of the experimental data, a model for prediction of hot
                 yield stress curves was obtained by genetic
                 programming. The study showed that genetic programming
                 is a powerful prediction tool.",
  notes =        "A1 Faculty of Mechanical Engineering, University of
                 Maribor, Slovenia, Maribor

                 A2 Faculty of Natural Sciences and Engineering,
                 University of Ljubljana, Ljubljana, Slovenia",
}

Genetic Programming entries for Miha Kovacic Miran Brezocnik Radomir Turk

Citations