A critical review of experimental results and constitutive descriptions for metals and alloys in hot working

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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.”
Hot tensile deformation behaviors and fracture characteristics of a typical Ni-based superalloy (2014, background): “Generally, material flow behaviors during the hot forming processes (such as rolling, forging, and extrusion) are often complex [1].”
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].”
Constitutive modelling of plasticity of fcc metals under extremely high strain rates (2012, methodology): “The regular-pressure models, as reviewed by Chaboche (2008) and Lin and Chen (2011), include the widely used Johnson-Cook (JC) model (1985), the Khan-Huang-Liang (KHL) model (Khan and Huang, 1992; Khan and Liang, 1999; Khan et al., 2004) and the Hollomon/Voce (H/V) model (Sung et al., 2010).”