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

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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Bibliographic Details
Main Authors: Omid Khalaj, Moslem Ghobadi, Ehsan Saebnoori, Alireza Zarezadeh, Mohammadreza Shishesaz, Bohuslav Mašek, Ctibor Štadler, Jiří Svoboda
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
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
Online Access:https://doaj.org/article/b0a1633d0b4c4ec6938a6845154e3dba
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https://doaj.org/article/b0a1633d0b4c4ec6938a6845154e3dba

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