Title

Calculation of Critical Temperatures by Empirical Formulae

Journal title

Archives of Metallurgy and Materials

Yearbook

2016

Issue

No 2 June

Authors

Trzaska, J.

Divisions of PAS

Nauki Techniczne

Publisher

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences

Date

2016

Identifier

DOI: 10.1515/amm-2016-0167 ; e-ISSN 2300-1909

Source

Archives of Metallurgy and Materials; 2016; No 2 June

References

Sourmail (2005), A model for predicting the Ms temperatures of steels Materials, Computational Science, 34, 213. ; Grange (1946), The Temperature Range of Martensite Formation Transactions, AIME, 167. ; Trzaska (2013), Calculation of the steel hardness after continuous cooling of Materials Science and, Archives Engineering, 61, 87. ; Pawłowski (2011), Critical points of hypoeutectoid steel - prediction of the pearlite dissolution finish temperature Ac of Achievements in Materials and Manufacturing, Journal Engineering, 49, 331. ; Steven (1956), The temperature of formation of martensite and bainite in low - alloy steels Some effects of chemical composition of the Iron and Steel, Journal Institute, 183. ; Nehrenberg (1946), The Temperature Range of Martensite Formation Transactions, AIME, 167. ; Trzaska (2014), Calculation of volume fractions of microstructural components in steels cooled from the austenitizing temperature of Achievements in Materials and Manufacturing, Journal Engineering, 65, 38. ; Vermeulen (1996), der Prediction of martensite start temperature using artificial neural networks Ironmaking and, Steelmaking, 23, 433. ; Trzaska (2007), Modelling of CCT diagrams for engineering and constructional steels of Materials Processing, Journal Technology, 192. ; Dobrzański (2004), Application of neural networks for prediction of critical values of temperatures and time of the supercooled austenite transformations of Materials Processing, Journal Technology, 155. ; Dobrzański (2004), Application of neural network for the prediction of continuous cooling transformation diagrams Materials, Computational Science, 30, 251. ; Andrews (1965), Empirical formulae for the calculation of some transformation temperatures of the Iron and Steel, Journal Institute, 203. ; Garcia (2007), de Artificial neural network modeling for the prediction of critical transformation temperatures in steels of Materials, Journal Science, 42, 5391.