Constitutive analysis in hot working

By H. Mcqueen, N. D. Ryan. 2002

987 citations recorded by the source corpus.

Subfields: Materials Chemistry, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/f26e0cbcc5476790c64017abd5ba461e8987388a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. H. Mirzadeh
2. N. Haghdadi
3. Hamid Reza Abedi
4. A. Zarei‐Hanzaki
5. A. R. Khalesian
6. A. Najafizadeh
7. J. Cabrera
8. S. Saadatkia

In Mechanical Engineering

1. H. Mirzadeh
2. A. Najafizadeh
3. N. Haghdadi
4. Hamid Reza Abedi
5. A. R. Khalesian
6. A. Zarei‐Hanzaki
7. J. Cabrera
8. S. Saadatkia

In Mechanics of Materials

1. H. Mirzadeh
2. N. Haghdadi
3. A. R. Khalesian
4. Hamid Reza Abedi
5. A. Zarei‐Hanzaki
6. A. Najafizadeh
7. J. Cabrera
8. S. Saadatkia

Citations in the corpus

• Artificial neural network modeling to predict the hot deformation behavior of an A356 aluminum alloy (2013, background): “The high temperat ure flow behavior modeling may be addressed through proper constitutive equations, which correlate the flow stress, strain, strain rate and temperat ure [8,9].”
• Prediction of the critical conditions for initiation of dynamic recrystallization (2010, background): “193 have been reported in the literature for 304 and 316 stainless steels, respectively [23,24].”