Original scientific paper

Hot forming of AISI A2 tool steel

T. Večko Pirtovšek ; Faculty of Natural Sciences, Ljubljana, Slovenia
I. Peruš ; Faculty of Civil and Geodetic Engineering, Ljubljana, Slovenia
G. Kugler ; Faculty of Natural Sciences, Ljubljana, Slovenia
R. Turk ; Faculty of Natural Sciences, Ljubljana, Slovenia
M. Terčelj ; Faculty of Natural Sciences, Ljubljana, Slovenia

Abstract

For further increase of economy of production of AISI A2 tool steel a study of possibility of expanding the hot working range and better prediction of flow stress has been carried out. By employing hot compression tests it was proved, that initial microstructures have influence on the lower limit and chemical composition on upper limit of hot working range. A CAE Neural Networks was applied to predict the flow stresses for intermediate values of strain rates and temperatures. For optimization purposes the activation energies and constants of the hyperbolic sine function for two temperatures ranges (850-1000°C and 1000-1150°C) were calculated.

Keywords

A2 tool steel; hot workability; activation energy; CAE neural networks

Hrčak ID:

26038

URI

https://hrcak.srce.hr/26038

Publication date:

1.10.2008.

Article data in other languages: croatian

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