Modeling of Hot Yield Stress Curves for Carbon Silicon Steel by Genetic Programming
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- @Article{kovacic:2005:MMP,
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author = "Miha Kovacic and Miran Brezocnik and Radomir Turk",
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title = "Modeling of Hot Yield Stress Curves for Carbon Silicon
Steel by Genetic Programming",
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journal = "Materials and Manufacturing Processes",
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year = "2005",
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volume = "20",
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number = "3",
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pages = "543--551",
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month = may,
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keywords = "genetic algorithms, genetic programming, Carbon
silicon steel, Hot yield stress curves",
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ISSN = "1532-2475",
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URL = "http://taylorandfrancis.metapress.com/openurl.asp?genre=article&eissn=1532-2475&volume=20&issue=3&spage=543",
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DOI = "doi:10.1081/AMP-200053572",
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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.",
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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