Hot deformation behavior and processing map of as-cast AZ61 magnesium alloy

Xu, Yan; Hu, Lianxi; Deng, Tingquan; Ye, Lei

doi:10.1016/j.msea.2012.08.137

Cited by 63 publications

(20 citation statements)

References 30 publications

(40 reference statements)

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“…For instance, the activation energy of the present alloy is significantly higher than that of the most commercially important magnesium alloy AZ31, which was obtained to be about 147 kJ/mol [59]. Previously, it was reported that the rate-controlling mechanism might be identified according to the stress exponent (n) and the apparent activation energy (Q) [43,60].…”

Section:  mentioning

confidence: 73%

“…It is, therefore, critical to optimize the processing frame to secure the desired post-deformation properties, based on the knowledge of deformation mechanisms and microstructure evolution. It has been widely recognized that the processing map is an effective tool for optimizing hot working/processing parameters [43][44][45][46].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Since the values of n and Q are estimated to be 7.3 and 241 kJ/mol, respectively, cross-slip of screw dislocations is likely to be the rate controlling process due to the much higher apparent activation energy than that for self-diffusion (135 kJ/mol) [19,43,61].…”

Section:  mentioning

confidence: 99%

See 2 more Smart Citations

Hot deformation and processing map of an as-extruded Mg–Zn–Mn–Y alloy containing I and W phases

et al. 2015

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Section:  mentioning

confidence: 73%

Section: Accepted Manuscriptmentioning

confidence: 99%

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Hot deformation and processing map of an as-extruded Mg–Zn–Mn–Y alloy containing I and W phases

et al. 2015

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“…AZ61 alloy is a widely used wrought magnesium alloy because of its low cost and moderate properties. Many investigations have been carried out on its hot processing parameters and its deformation behavior [8][9][10][11][12][13] . The combined effect of the rare earth elements (mischmetal, abbreviated as Mm) and manganese (Mn) on the deformation behaviors of AZ61 magnesium alloy has rarely been reported.…”

Section: Introductionmentioning

confidence: 99%

Effect of Simultaneous Addition of Mn and Mischmetal on the High Temperature Deformation Behavior of AZ61 Magnesium Alloy

Chen

et al. 2017

Mater. Trans.

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The high temperature deformation behavior of a modi ed AZ61 magnesium alloy was investigated by means of an isothermal compression test on a Gleeble-2000D elevated temperature simulation tester at strain rates of 0.1 s −1 and 1 s −1 and deformation temperatures of 523 K, 623 K and 723 K. The microstructure evolutions and second phases of the experimental alloys were analyzed. Compared to the conventional alloy, the modi ed specimen shows a higher degree of dynamic softening and a lower deformation resistance. The improved deformability becomes more apparent when temperature decreases or strain rate increases, and it is attributed to a great reduction in Mg 17 Al 12 phase and to the formation of Al 4 RE and Al 10 RE 2 Mn 7 phases caused by the simultaneous addition of Mn and mischmetal.

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“…Therefore, empirical models do not need details about physical or chemical revolution involved during the deformation process. The Arrhenius-type constitutive model is recognized to be one of the most commonly used empirical models and has been successfully applied to various alloys, including magnesium alloys [9], titanium alloys [10,11], aluminum alloys [12] and steels [13]. In contrast, the artificial neural network (ANN) model does not refer to any mathematical model, and it only learns from examples and recognizes patterns from a series of inputs and outputs without any prior assumptions about their nature.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Constitutive Relationship of Al–0.62Mg–0.73Si Alloy Based on Artificial Neural Network

Han

Yan

Sun

et al. 2017

Metals

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Abstract:In this work, the hot deformation behavior of 6A02 aluminum alloy was investigated by isothermal compression tests conducted in the temperature range of 683-783 K and strain-rate range of 0.001-1 s −1 . According to the obtained true stress-true strain curves, the constitutive relationship of the alloy was revealed by establishing the Arrhenius-type constitutive model and back-propagation (BP) neural network model. It is found that the flow characteristic of 6A02 aluminum alloy is closely related to deformation temperature and strain rate, and the true stress decreases with increasing temperatures and decreasing strain rates. The hot deformation activation energy is calculated to be 168.916 kJ mol −1 . The BP neural network model with one hidden layer and 20 neurons in the hidden layer is developed. The accuracy in prediction of the Arrhenius-type constitutive model and BP neural network model is eveluated by using statistics analysis method. It is demonstrated that the BP neural network model has better performance in predicting the flow stress.

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Hot deformation behavior and processing map of as-cast AZ61 magnesium alloy

Cited by 63 publications

References 30 publications

Hot deformation and processing map of an as-extruded Mg–Zn–Mn–Y alloy containing I and W phases

Hot deformation and processing map of an as-extruded Mg–Zn–Mn–Y alloy containing I and W phases

Effect of Simultaneous Addition of Mn and Mischmetal on the High Temperature Deformation Behavior of AZ61 Magnesium Alloy

Modeling the Constitutive Relationship of Al–0.62Mg–0.73Si Alloy Based on Artificial Neural Network

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