Development of Machine Learning Models to Evaluate the Toughness of OPH Alloys

Oxide Precipitation-Hardened (OPH) alloys are a new generation of Oxide Dispersion-Strengthened (ODS) alloys recently developed by the authors. The mechanical properties of this group of alloys are significantly influenced by the chemical composition and appropriate heat treatment (HT). The main ste...

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Autores principales:	Omid Khalaj, Moslem Ghobadi, Ehsan Saebnoori, Alireza Zarezadeh, Mohammadreza Shishesaz, Bohuslav Mašek, Ctibor Štadler, Jiří Svoboda
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Oxide Precipitation-Hardened (OPH) alloys tensile test toughness artificial neural network (ANN) particle swarm optimization ANFIS Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85
Acceso en línea:	https://doaj.org/article/b0a1633d0b4c4ec6938a6845154e3dba
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Development of Machine Learning Models to Evaluate the Toughness of OPH Alloys

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