δ-TRIP steel

S. Chatterjee, M. Murugananth and H. K. D. H. Bhadeshia

Abstract

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 about 1 GPa and a uniform elongation of 23%.

Materials Science and Technology 23 (2007) 819-827.

Podcast

A two-minute interview conducted by Mathew Peet, about the research documented in the paper.

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Computer program

MAP_STEEL_TRIP_AUSTENITE PROGRAM: To predict the retained austenite content and austenite carbon concentration in TRIP-assisted steels.

Micrographs

Fractographs of tensile test specimens


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