Accelerated prediction of Vickers hardness of Co- and Ni-based superalloys from microstructure and composition using advanced image processing techniques and machine learning-Reference-Cited by-同舟云学术

Accelerated prediction of Vickers hardness of Co- and Ni-based superalloys from microstructure and composition using advanced image processing techniques and machine learning

Published:2020-09 Issue: Volume:196 Page:295-303
ISSN:1359-6454
Container-title:Acta Materialia
language:en
Short-container-title:Acta Materialia

Author:

Khatavkar Nikhil,Swetlana Sucheta,Singh Abhishek Kumar^ORCID

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference59 articles.

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4. Optimum microstructure combination for maximizing tensile strength in a polycrystalline superalloy with a two-phase structure;Osada;Acta Mater.,2013

5. Dislocation dynamics simulations of precipitation hardening in Ni-based superalloys with high γ’ volume fraction;Vattré;Intermetallics,2009

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