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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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| Опубликовано в: : | Materials (Basel) |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6888044/ https://ncbi.nlm.nih.gov/pubmed/31703355 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma12223668 |
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