Microstructural based models for bcc and fcc metals with temperature and strain rate dependency

By George Z. Voyiadjis, F. Abed. 2005

325 citations recorded by the source corpus.

Subfields: Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/fb0a03954b23e03d540b1a0cb4e5df2ef01cd36c

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In Materials Chemistry

1. N. Haghdadi
2. Hamid Reza Abedi
3. A. Zarei‐Hanzaki
4. O. Sabokpa
5. C. Gao
6. Liangchi Zhang
7. Kim-Meow Liew
8. Z. Lei

Citations in the corpus

• Constitutive modelling of plasticity of fcc metals under extremely high strain rates (2012, background): “Voyiadjis and Abed (2005b) considered the effect of”
• Artificial neural network modeling to predict the high temperature flow behavior of an AZ81 magnesium alloy (2012, background): “In this regard, a considerable amount of researches have been conducted employing the analytical [10,11], phenomenological [12–15] and empirical constitutive models [16] to predict the flow behavior of materials at elevated temperatures.”