High-Resolution Characterization of Deformation Induced Martensite in Large Areas of Fatigued Austenitic Stainless Steel Using Deep Learning

High-Resolution Characterization of Deformation Induced Martensite in Large Areas of Fatigued Austenitic Stainless Steel Using Deep Learning

This paper aims to demonstrate a novel technique enabling the accurate visualization and fast mapping of deformation-induced α′-martensite produced during cyclic straining of a metastable austenitic stainless steel, refined by reversion annealing to different grain sizes. The technique is based on e...

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Bibliographic Details
Main Authors: Šárka Mikmeková, Jiří Man, Ondřej Ambrož, Patrik Jozefovič, Jan Čermák, Antti Järvenpää, Matias Jaskari, Jiří Materna, Tomáš Kruml
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Metals
Subjects:
scanning electron microscopy (SEM)
austenitic stainless steel
low cycle fatigue
deformation induced martensite
deep learning
Online Access:https://www.mdpi.com/2075-4701/13/6/1039

Internet

https://www.mdpi.com/2075-4701/13/6/1039

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