Modeling and prediction of hot deformation flow curves
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Tipus de documentArticle
Data publicació2012-01
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Abstract
The modeling of hot flow stress and prediction of flow curves for unseen deformation conditions
are important in metal-forming processes because any feasible mathematical simulation needs
accurate flow description. In the current work, in an attempt to summarize, generalize, and
introduce efficient methods, the dynamic recrystallization (DRX) flow curves of a 17-4 PH
martensitic precipitation hardening stainless steel, a medium carbon microalloyed steel, and a
304 H austenitic stainless steel were modeled and predicted using (1) a hyperbolic sine equation
with strain dependent constants, (2) a developed constitutive equation in a simple normalized
stress-normalized strain form and its modified version, and (3) a feed-forward artificial neural
network (ANN). These methods were critically discussed, and the ANN technique was found to
be the best for the modeling available flow curves; however, the developed constitutive equation
showed slightly better performance than that of ANN and significantly better predicted values
than those of the hyperbolic sine equation in prediction of flow curves for unseen deformation
conditions.
CitacióMirzadeh, H.; Cabrera, J.; Najafizadeh, A. Modeling and prediction of hot deformation flow curves. "Metallurgical and materials transactions A-Physical metallurgy and material", Gener 2012, vol. 43A, núm. 1, p. 108-123.
ISSN1073-5623
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