Naslov
Ductile iron microstructure prediction based on melt thermal analysis using artificial neural networks

Autori
Žmak, Irena ; Filetin, Tomislav ; Unkić, Faruk

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings, 48th International October Conference on Mining and Metallurgy / Štrbac, Nada ; Živković, Dragana - Bor : Tehnički fakultet u Boru Univerziteta u Beogradu, 2016, 289-292

ISBN
978-86-6305-047-1

Skup
The 48th International October Conference on Mining and Metallurgy

Mjesto i datum
Bor, Srbija, 28.09.2016. - 01.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial neural network ; ductile cast iron ; thermal analysis ; graphite

Sažetak
The paper presents the results of application of artificial neural networks in predicting the ductile iron graphite microstructure, i.e. nodularity and nodule count. The input parameters are the data acquired through thermal analysis of the melt, namely the ones that affect nodule formation the most: liquidus temperature, eutectic undercooling temperature, recalescence, solidus temperature, graphite factor 1 and graphite factor 2, near-solidus cooling rate, and eutectoid temperature. Good accordance between measured and predicted data is observed so the proposed neural network method can be successfully applied for predicting the graphite formation in ductile iron based on melt thermal analysis.

Izvorni jezik
Engleski

Znanstvena područja
Metalurgija, Strojarstvo, Temeljne tehničke znanosti

POVEZANOST RADA