A New Neural Networks Model for Calculating the Continuous Cooling Transformation Diagrams
Autor: | J. Trzaska |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: | |
Zdroj: | Archives of Metallurgy and Materials, Vol vol. 63, Iss No 4, Pp 2009-2015 (2018) |
Druh dokumentu: | article |
ISSN: | 2300-1909 |
DOI: | 10.24425/amm.2018.125137 |
Popis: | The article shows a new model of Continuous Cooling Transformation (CCT) diagrams of structural steels and engineering steels. The modelling used artificial neural networks and a set of experimental data prepared based on 550 CCT diagrams published in the literature. The model of CCT diagrams forms 17 artificial neural networks which solve classification and regression tasks. Neural model is implemented in a computer software that enables calculation of a CCT diagram based on chemical composition of steel and its austenitizing temperature. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |