The flow behavior modeling of cast A356 aluminum alloy at elevated temperatures considering the effect of strain
By N. Haghdadi, A. Zarei‐Hanzaki, Hamid Reza Abedi. 2012
186 citations recorded by the source corpus.
Abstract The flow stress behavior of cast A356 aluminum alloy has been studied by a set of isothermal hot compression tests. The compression tests were carried out in the temperature range of 400–540 °C and strain rates of 0.001, 0.01 and 0.1 s −1 up to a true strain of 0.6. The effects of temperature and strain rate on deformation behavior were represented by Zener–Hollomon parameter in an exponent type equation. Employing an Arrhenius-type constitutive equation, the influence of strain has been incorporated by considering the related materials’ constants as functions of strain. The accuracy of the developed constitutive equations has been evaluated using standard statistical parameters such as correlation coefficient and average absolute relative error. The results indicate that the strain-dependent constitutive equation can lead to a good agreement between the calculated and measured flow stresses in the relevant temperature range.
Subfields: Aerospace Engineering, Materials Chemistry, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/1122c785d5cd29d33aa85bb95945347d17de9a20
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In Aerospace Engineering
In Materials Chemistry
In Mechanics of Materials
Citations in the corpus
- Artificial neural network modeling to predict the high temperature flow behavior of an AZ81 magnesium alloy (2012, background): “Furthermore, the effects of temperature and strain rate on deformation behavior may also be represented by the Zener–Hollomon parameter (Z) in an exponent type equation [33,34].”
- Constitutive models for high-temperature flow behaviors of a Ni-based superalloy (2014, background): “Based on the recent researches, Lin and Chen [1] presented a critical review on constitutive descriptions for metals and alloys under hot working, and they divided the constitutive models into three categories, including the phenomenological models [16–48], physically-based models [49– 53] and artif”
- Artificial neural network modeling to predict the hot deformation behavior of an A356 aluminum alloy (2013, methodology): “As is previously reported by the present authors [14,27], the softening observed at 400 and 450 C is attributed to the dynamic recrystallization (DRX) at the vicinity of Si particles and/or coarsening and morphologi cal changes of Mg/Si precipita tes.”