A highly wear resistant nanostructured bainitic steel with accelerated transformation kinetics

A coupled Calculation of Phase Diagrams (CALPHAD), machine learning, and data mining approach was used to design a new, highly wear-resistant nanostructured bainitic steel. Arc melting of the designed compositions, dilatometry, and advanced microscopy indicate that the designed steel had a nanoscale...

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Hlavní autoři:	Rangasayee Kannan, Yiyu Wang, Tomas Grejtak, Bryan Lim, Peeyush Nandwana
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-03-01
Edice:	Journal of Materials Research and Technology
Témata:	Superbainite Alloy design CALPHAD Data mining Wear
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2238785425004399
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