Prediction of Cyclic Stress–Strain Property of Steels by Crystal Plasticity Simulations and Machine Learning

In this study, a method for the prediction of cyclic stress–strain properties of ferrite-pearlite steels was proposed. At first, synthetic microstructures were generated based on an anisotropic tessellation from the results of electron backscatter diffraction (EBSD) analyses. Low-cycle fatigue exper...

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Detalles Bibliográficos
Autores principales: Miyazawa, Yuto, Briffod, Fabien, Shiraiwa, Takayuki, Enoki, Manabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888044/
https://www.ncbi.nlm.nih.gov/pubmed/31703355
http://dx.doi.org/10.3390/ma12223668

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888044/
https://www.ncbi.nlm.nih.gov/pubmed/31703355
http://dx.doi.org/10.3390/ma12223668

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