Computer simulation of microstructure transformation in heat treatment processes

• Autorzy: Smoljan B. , Smokvina Hanza S. , Tomašić N. , Iljkić D.
• Języki publikacji: EN

Abstrakty

EN

Purpose: Most often used methods for prediction of austenite decomposition are described and analysed. Design/methodology/approach: The austenite decomposition prediction is usually based on continuous cooling transformation (CCT) diagrams. The next method is based on semi-empirical approach based on the Scheil's additivity rule. The third method is based on time, t8/5, relevant for microstructure transformation measured on Jominy-specimen. Very good results are obtained by artificial neural network (ANN) with learning rule based on the error backpropagation algorithm. Findings: By the comparison of application ability of investigated methods in mathematical modelling and computer simulation of austenite decomposition during the cooling of low-alloyed steel, it can be concluded that everyone method gives different results, and minimum variation in elemental composition and history of cooling may produce extremely different results in microstructure portion. Very good results were achieved by the method, which applies the Jominy-test results. In this method the additivity rule and specific performance of Jominy-test has been combined. Research limitations/implications: The investigation was performed on low-alloyed steels. Practical implications: The results of prediction of microstructure transformations could be used for prediction of mechanical properties after a heat treatment and of generation of stresses and strains during a heat treatment. Originality/value: The ability and applicability of potential methods of austenite decomposition prediction in general mathematical modelling of heat treatment of steel are carried out. The finding of this paper will be so useful in development new algorithms in mathematical modelling and computer simulation of heat treatment of low-alloyed steels.

Słowa kluczowe

EN

artificial intelligence methods; computer simulation; microstructure transformation; cooling; additivity rule

PL

metody sztucznej inteligencji; symulacja komputerowa; przekształcenia mikrostruktury; chłodzenie; zasada addytywności

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2007
• Tom: Vol. 24, nr 1
• Strony: 275--282
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Smoljan B.

autor

Smokvina Hanza S.

autor

Tomašić N.

autor

Iljkić D.

• Department of Materials Science and Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, HR-51000 Rijeka, Croatia,

Bibliografia

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