MODELING AND PREDICTION OF COMPOSITION PROPERTIES OF TITANIUM-BASED ALLOUYS MEANS OF ARTIFICIAL NEURAL NETWORKS

Nikolay Tonchev; Martin Ivanov

Scientific paper ID 1080 : 2014/3

MODELING AND PREDICTION OF COMPOSITION PROPERTIES OF TITANIUM-BASED ALLOUYS MEANS OF ARTIFICIAL NEURAL NETWORKS

Nikolay Tonchev1, Martin Ivanov2

This message is a recommendation for an approach for adequate prediction of the properties of titanium-based alloys with defined composition and mode for heat treatment.

Based on a priori determined optimal experimental compositions and beyond the used proxy database, an approximation is defined most accurately fulfilling the determined conditions.

The approximation is carried out by means of neural models. The approach allows for a more precise automated prediction of the alloy features according to the composition and the heat treatment of the alloy.

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металургично проектиране ANN моделиране оптимизация титанови сплавиmetallurgical design modelling ANN optimization titanium alloys.Nikolay Tonchev Martin Ivanov

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