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Neural Network Analysis of Tensile Properties of Austempered Ductile Iron


Austempered ductile iron is an excellent material and it possesses attractive properties as high strength, ductility and toughness. In this paper the neural technique was applied to the analysis of the ultimate tensile strength, the yield strength and elongation of austempered ductile iron (ADI). Estimation of the mechanical properties of austempered ductile cast iron (ADI) was curried as a function of chemical composition and heat treatment conditions (austenitizing temperature, austenitizing time, austempering temperature and austempering time). A ‘committee’ model was used to increase the accuracy of the predictions. The model was validated by comparison its predictions with data of tensile tests experiments on austempered samples of ductile cast iron. The model successfully reproduces experimentally determined ultimate tensile strength and elongation and it can be exploited in the predictions of tensile properties in the design of chemical composition of cast irons and their heat treatments.

Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Nauka o materiałach, Funkcjonalne i inteligentne materiały