Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models

By Wenwen Peng, W. Zeng, Qingjiang Wang, Hanqing Yu. 2013

137 citations recorded by the source corpus.

Subfields: Materials Chemistry, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/621874a9f0e46fa5b64deafc8da0ddd1c2170614

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. J. Deng
2. D. Wen
3. Jian Chen
4. Y. Lin
5. Guan Liu
6. Xiao-Min Chen

In Mechanics of Materials

1. D. Wen
2. J. Deng
3. Y. Lin
4. Jian Chen
5. Guan Liu
6. Xiao-Min Chen
7. Ming-Song Chen

Citations in the corpus

• Constitutive models for high-temperature flow behaviors of a Ni-based superalloy (2014, background): “In addition, a number of researchers developed some artificial neural network constitutive models to predict the high-temperature flow behaviors of 42CrMo steel [54], as-cast Ti–6Al–2Zr– 1Mo–1V alloy [55], A356 aluminum alloy [56], as-cast Ti60 titanium alloy [57], and 12Cr3WV steel [58].”