Increasing the tensile strength and elongation of 16MnCrS5 steel using genetic programming

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@Article{Kovacic:2017:MT,
  author =       "Miha Kovacic and Ana Turnsek and Darja Ocvirk and 
                 Gasper Gantar",
  title =        "Increasing the tensile strength and elongation of
                 16MnCrS5 steel using genetic programming",
  journal =      "Materials and Technology",
  year =         "2017",
  volume =       "51",
  number =       "6",
  pages =        "883--888",
  keywords =     "genetic algorithms, genetic programming, 16MnCrS5,
                 tensile strength, elongation, modelling, linear
                 regression",
  ISSN =         "1580-2949",
  URL =          "http://mit.imt.si/Revija/izvodi/mit176/kovacic.pdf",
  DOI =          "doi:10.17222/mit.2016.293",
  size =         "6 pages",
  abstract =     "Store Steel Ltd. is one of the largest spring-steel
                 producers in Europe. Store Steel makes more than 1400
                 steel grades of different chemical composition. Among
                 them is 16MnCrS5 steel. It is generally used for the
                 fabrication of case-hardened machine parts for various
                 applications (e.g., bars, rods, plates, strips,
                 forgings), where a combination of wear resistance,
                 toughness and dynamic strength is essential. These
                 properties can be easily correlated with tensile
                 strength, which depends on the chemical composition and
                 heat treatment after rolling. In addition, the
                 elongation should be taken into account. In the paper,
                 modeling of tensile strength and elongation with
                 genetic programming is presented and compared with
                 linear regression modelling. The chemical composition
                 data (content of C, Mn, S and Cr) and the
                 heat-treatment regime data (GKZ or BG annealing",
  notes =        "MTAEC9 UDK 620.172.2:621.3.015:519.7",
}

Genetic Programming entries for Miha Kovacic Ana Turnsek Darja Ocvirk Gasper Gantar

Citations