- 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",
