A novel machine learning method to exploit EBSD and nanoindentation for TRIP steels microstructures analysis

A novel machine learning method to exploit EBSD and nanoindentation for TRIP steels microstructures analysis

The recognition of phases and microstructures in TRIP-assisted bainitic-ferritic steels is challenging and requires sophisticated techniques to gain insights and reveal mechanical features with nanoscale precision. EBSD and nanoindentation have been employed to assess the surface composition and the...

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Bibliographic Details
Main Authors: Federico Bruno, Georgios Konstantopoulos, Gianluca Fiore, Edoardo Rossi, Marco Sebastiani, Costas Charitidis, Luca Belforte, Mauro Palumbo
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Materials & Design
Subjects:
Machine learning
High-speed nanoindentation mapping
Correlative analysis
Steel
Microstructure
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524001461

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http://www.sciencedirect.com/science/article/pii/S0264127524001461

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