Residual Stress Field Analysis and Prediction in Nitrided Tool Steel
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Podgornik:2011:MMP,
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author = "Bojan Podgornik and Vojteh Leskovsek and
Miha Kovacic and Josef Vizintin",
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title = "Residual Stress Field Analysis and Prediction in
Nitrided Tool Steel",
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journal = "Materials and Manufacturing Processes",
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year = "2011",
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volume = "26",
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number = "9",
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pages = "1097--1103",
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keywords = "genetic algorithms, genetic programming, Forming,
Microhardness, Nitriding, Residual, Stresses, Tools",
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ISSN = "1042-6914",
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URL = "http://www.tandfonline.com/doi/abs/10.1080/10426914.2010.525573",
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DOI = "doi:10.1080/10426914.2010.525573",
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abstract = "Residual stresses are present in engineering
components as an unintended consequence of
manufacturing processes, but they are also deliberately
introduced to beneficial effect during surface
engineering procedures. Plasma nitriding is a process
of particular importance for forming tools and dies,
giving significant advantages in wear, and fatigue
resistance through the generation of near-surface
compressive residual stresses. A precise knowledge of
the level and distribution of residual stresses that
exist in engineering components is necessary for an
accurate design and prediction of a component's fatigue
resistance. However, measurement of residual stresses
is not always possible, which is especially true for
forming tools. Therefore, other methods for residual
stress evaluation and prediction are required.
Results of this investigation show that residual stress
level and depth in plasma nitrided tool steel increase
with nitriding time and temperature. On the other hand,
experimental data indicates that the residual stress
distribution in plasma nitrided tool steels can be
determined on the basis of microhardness depth
distribution. A minimum in the microhardness depth
profile derived over depth corresponds to the location
of the compressive residual stress maximum.
Furthermore, the residual stress level can be
extrapolated by using reference residual stress data
and genetic programming. In this way the residual
stress level and distribution can be obtained even for
components where measurement is not possible.",
- }
Genetic Programming entries for
Bojan Podgornik
Vojteh Leskovsek
Miha Kovacic
Josef Vizintin
Citations