Abstract
Fine structures consisting of a mixture of extremely thin bainite plates embedded in a matrix of austenite, are now a commercial proposition. Whereas the phase transformation theory for such structures is fairly well established, the understanding of their mechanical properties is not. The present work is an attempt to express the fracture toughness of such steels using a neural network method exploiting data available for martensitic and ordinary bainitic steels. It is demonstrated that in spite of uncertainties, the model captures reasonable trends and is able to estimate unseen experimental results on the nanostructured bainite.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
