Preliminary communication

Application of artificial intelligence methods for prediction of steel mechanical properties

Z. Jančíková ; Faculty of Metallurgy and Material Engineering, VŠB – Technical University of Ostrava, Czech Republic
V. Roubíček ; Faculty of Metallurgy and Material Engineering, VŠB – Technical University of Ostrava, Czech Republic
D. Juchelková ; Faculty of Metallurgy and Material Engineering, VŠB – Technical University of Ostrava, Czech Republic

Abstract

The target of the contribution is to outline possibilities of applying artificial neural networks for the prediction of mechanical steel properties after heat treatment and to judge their perspective use in this field. The achieved models enable the prediction of final mechanical material properties on the basis of decisive parameters influencing these properties. By applying artificial intelligence methods in combination with mathematic-physical analysis methods it will be possible to create facilities for designing a system of the continuous rationalization of existing and also newly developing industrial technologies.

Keywords

metallurgy; steel; mechanical proporties; neural networks; model

Hrčak ID:

26044

URI

https://hrcak.srce.hr/26044

Publication date:

1.10.2008.

Article data in other languages: croatian

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