Hybrid Machine Learning Techniques and Computational Mechanics: Estimating the Dynamic Behavior of Oxide Precipitation Hardened Steel

Hybrid Machine Learning Techniques and Computational Mechanics: Estimating the Dynamic Behavior of Oxide Precipitation Hardened Steel

A new generation of Oxide Dispersion Strengthened (ODS) alloys called Oxide Precipitation Hardened (OPH) alloys, has recently been developed by the authors. The excellent mechanical properties can be improved by optimizing the chemical composition in combination with heat treatment. However, the beh...

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Bibliographic Details
Main Authors: Omid Khalaj, Mohammad Behdad Jamshidi, Ehsan Saebnoori, Bohuslav Masek, Ctibor Stadler, Jiri Svoboda
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Oxide precipitation hardened (OPH) steels
tensile strength
artificial neural network (ANN)
particle swarm optimization
ANFIS
Fe–Al–O
Online Access:https://ieeexplore.ieee.org/document/9620029/

Internet

https://ieeexplore.ieee.org/document/9620029/

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