Analysis and Prediction of Residual Stresses in Nitrided Tool Steel

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  author =       "Bojan Podgornik and Vojteh Leskovsek and 
                 Miha Kovacic and Josef Vizintin",
  title =        "Analysis and Prediction of Residual Stresses in
                 Nitrided Tool Steel",
  journal =      "Materials Science Forum",
  year =         "2011",
  volume =       "681, Residual Stresses VIII",
  editor =       "Paolo Scardi and Cristy L. Azanza Ricardo",
  pages =        "352--357",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming,
                 Microhardness, Modelling, Plasma Nitriding, Residual
                 Stress, Tool Steel",
  ISSN =         "1662-9752",
  URL =          "",
  DOI =          "doi:10.4028/",
  size =         "6 pages",
  abstract =     "Plasma nitriding is a thermo-chemical process of high
                 importance for engineering components, which through
                 generation of near-surface compressive residual
                 stresses significantly improves wear and fatigue
                 resistance. A precise knowledge of the level and
                 distribution of residual stresses that exist in surface
                 engineered components is necessary for accurate
                 prediction of a component's fatigue resistance.
                 However, measurement of residual stress is not always
                 possible, especially in the case of industrial tools
                 and dies. Therefore, other methods for residual stress
                 evaluation and prediction are required by industry.
                 Results of this investigation show that residual stress
                 level and depth in plasma nitrided tool steel increase
                 by nitriding time and temperature. On the other hand,
                 experimental data show that residual steel distribution
                 in plasma nitrided tool steels can be determined on the
                 basis of microhardness depth distribution.",
  notes =        "p357 GP 'can give very accurate prediction of the
                 compressive residual stress level in nitrided

Genetic Programming entries for Bojan Podgornik Vojteh Leskovsek Miha Kovacic Josef Vizintin