TRIP steel

نویسنده

  • H. K. D. H. Bhadeshia
چکیده

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 d 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 y1 GPa and a uniform elongation of 23%.

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تاریخ انتشار 2007