δTRIP steel
| Autor: | M. Murugananth, H. K. D. H. Bhadeshia, S. Chatterjee |
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| Rok vydání: | 2007 |
| Předmět: | |
| Zdroj: | Materials Science and Technology. 23:819-827 |
| ISSN: | 1743-2847 0267-0836 |
| DOI: | 10.1179/174328407x179746 |
| Popis: | A combination of neural networks and genetic algorithms has been used to design a TRIP assisted steel in which the silicon concentration is kept low. In this context, the steel has a novel microstructure consisting of δ ferrite dendrites and a residual phase which at high temperatures is austenite. This austenite can, with appropriate heat treatment, evolve into a mixture of bainitic ferrite and carbon enriched retained austenite. The steel has been manufactured and tested to reveal a tensile strength of ∼ 1 GPa and a uniform elongation of 23%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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