AI assisted steel cleanness evaluation: Predicting the morphology of La-traced non-metallic inclusions using backscattered-electron images-Reference-Cited by-同舟云学术

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AI assisted steel cleanness evaluation: Predicting the morphology of La-traced non-metallic inclusions using backscattered-electron images

Published:2024-01 Issue: Volume:28 Page:2247-2257
ISSN:2238-7854
Container-title:Journal of Materials Research and Technology
language:en
Short-container-title:Journal of Materials Research and Technology

Author:

Thiele Kathrin^ORCID,Musi Robert^ORCID,Prohaska Thomas,Irrgeher Johanna^ORCID,Michelic Susanne K.^ORCID

Publisher

Elsevier BV

Subject

Metals and Alloys,Surfaces, Coatings and Films,Biomaterials,Ceramics and Composites

Reference38 articles.

1. Effects of inclusions on very high cycle fatigue properties of high strength steels;Li;Int Mater Rev,2012

2. Effect of inclusions and microstructural characteristics on the mechanical properties and fracture behavior of a high- strength low- alloy steel;Ray;JMEP,1995

3. Effect of impurity level and inclusions on the ductility and toughness of an ultra-high-strength steel;Tervo;Mater Sci Eng, A,2017

4. Influence of inclusions on initiation of pitting corrosion and stress corrosion cracking of X70 steel in near-neutral pH environment;Wang;Corrosion Sci,2019

5. Control of DWI steel cleanness by lanthanum tracing of deoxidation inclusions, ladle slag treatment and a methodical approach,1997

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