Prediction of 42CrMo steel flow stress at high temperature and strain rate

By Y. Lin, Ming-Song Chen, J. Zhong. 2008

291 citations recorded by the source corpus.

Subfields: Materials Chemistry, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/a9a0734308deb85463287283f3399022bae4100b

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. N. Haghdadi
2. A. Zarei‐Hanzaki
3. D. Wen
4. Hamid Reza Abedi
5. Y. Lin
6. J. Deng
7. Jian Chen
8. Guan Liu

In Mechanics of Materials

1. N. Haghdadi
2. D. Wen
3. A. Zarei‐Hanzaki
4. Hamid Reza Abedi
5. Y. Lin
6. J. Deng
7. Jian Chen
8. Guan Liu

Citations in the corpus

• Hot tensile deformation behaviors and fracture characteristics of a typical Ni-based superalloy (2014, background): “During the hot forming process, there are several types of metallurgical phenomena in metals and alloys with low or medium stacking fault energy, such as the dynamic recrystallization (DRX) [2–4], static recrystallization (SDRX) [5–7], and metadynamic recrystallization (MDRX) [8–11], which result in”
• Artificial neural network modeling to predict the high temperature flow behavior of an AZ81 magnesium alloy (2012, background): “The high-temperature deformation behavior of metallic materials is always accompaniedwith various interconnectingmetallurgical phenomena such as work hardening, dynamic recovery (DRV), dynamic recrystallization (DRX) and flow instability [5–9].”