Constitutive modeling for the dynamic recrystallization evolution of AZ80 magnesium alloy based on stress–strain data

Quan, Guo-zheng; Shi, Yu; Wang, Yixin; Kang, Beom-Soo; Ku, Tae-Wan; Song, Woo‐Jin

doi:10.1016/j.msea.2011.07.064

Cited by 121 publications

(44 citation statements)

References 15 publications

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“…It is universally acknowledged that stress-strain data play important roles in many studies, for instance, inverse analysis of the stress-strain curve to determine work hardening (WH) and dynamic recovery (DRV) 33 , modelling for dynamic recrystallization evolution 34 , construction of processing maps 35 and ductile fracture criteria 36 , etc. In the previous studies, Sun et al and Sabokpa et al only predicted flow stress data of unknown temperature at the certain strain and strain rate 6,12,30,[37][38][39] .…”

Section: Modelling the Hot Flow Behaviors Of Az80 Alloy By Bp-ann Andmentioning

confidence: 99%

“…These specimens were compressed with a height reduction 60% at the temperatures of 523, 573, 623, and 673 K, and the strain rates of 0.01, 0.1, 1, and 10 s -1 , and then the specimens were rapidly water quenched to retain the microstructures obtained at elevated temperatures. In these compression tests, a computer equipped with an automatic data acquisition system was used to monitor the nominal stress and nominal strain continuously, and then these data were converted into true stress and true strain according to the following formulae: , where N ε is the nominal strain, N σ the nominal stress, T σ the true stress, and T ε the true strain 34 . The true compressive stress-strain curves of AZ80 magnesium alloy at different temperatures and strain rates were illustrated in Figure 2.…”

Section: Acquisition Of Experimental Stress-strain Data and Their Chamentioning

confidence: 99%

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Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations

et al. 2015

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Hot compressions of as-cast AZ80 magnesium alloy in a wide temperature range of 523-673 K and strain rate range of 0.01-10 s -1 with a height reduction of 60% were conducted by a Gleeble-1500 thermo-mechanical test simulator. The hot flow behaviors show highly non-linear intrinsic relationships with temperature, strain and strain rate. In order to model the complicated flow behaviors, error back-propagation algorithm, a representative method to minimize the target error, was selected to train the artificial neural network. A comparative study was made on the predictabilities of the improved Arrhenius-type and BP-ANN model by using two standard statistical parameters including correlation coefficient (R) and average absolute relative error (AARE). Comparison results show that the well-trained BP-ANN has higher prediction accuracy. Three highlight applications were presented. Firstly, the strain-stress data volume was expanded by BP-ANN predictions above experimental conditions. Secondly, the expanded data were applied in the simulations of isothermal compressions, and high simulation accuracy for the load-stroke curve was achieved. Thirdly, a three-dimensional (3D) interaction space of stress, strain, temperature and strain rate was constructed based on the intensive data, which supplies the stress data to arbitrary temperature, strain rate, and strain.

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Section: Modelling the Hot Flow Behaviors Of Az80 Alloy By Bp-ann Andmentioning

confidence: 99%

Section: Acquisition Of Experimental Stress-strain Data and Their Chamentioning

confidence: 99%

Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations

et al. 2015

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“…The correlation between the hot deformation parameters, such as strain rate, deformation temperature and flow stress can be described by hyperbolic-sine Arrhenius type equation 17 .…”

Section: Constitutive Equation Of the Peak Flow Stressmentioning

confidence: 99%

The improved arrhenius model with variable parameters of flow behavior characterizing for the as-cast AZ80 magnesium alloy

Quan

Shi

et al. 2013

Mat. Res.

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In order to study the hot working behaviour of as-cast AZ80 magnesium alloy, a series of isothermal upsetting tests with height reduction of 60% were performed at the temperature range of 523-673 K and the strain rate range of 0.01-10 s -1 on a servo-hydraulic Gleeble-1500 machine simulator. Based on the regression analysis for Arrhenius type equation of flow stress, the activation energy of deformation was determined to be Q = 168.6606 KJ·mol -1 , and material constants A, n and α in the equation also were calculated respectively to predict the peak stress during hot deformation. A 7 th order polynomial was used to represent the influence of strain on these parameters (i.e Q, lnA, n and α). The Arrhenius equation was further developed by taking account of the effect of strain on the flow stress to describe the flow behavior during the whole experimental temperature and strain rate range. Then comparison between the predicted results and test results shows that the correlation coefficient and average absolute relative error is 0.99 and 6.63%, respectively. The flow stress predicted by developed equation can give an accurate and precise description of the flow behaviour for AZ80 magnesium alloy.

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“…Owing to these desirable properties, magnesium alloys are attractive in electronic, aeronautical and transportation industries [1][2][3] . Accordingly a thorough investigation of high temperature plastic deformation behavior of magnesium alloys is highly necessitated.…”

Section: Introductionmentioning

confidence: 99%

An investigation into the dissolution characteristics of γ precipitates in Mg-3Al-Zn alloy

2014

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In non-equilibrium conditions, the coring phenomena may occur in the α-Mg solid solution and γ-Mg 17 Al 12 phase forms in the microstructure of AZ magnesium alloy series. This eutectic phase may introduce detrimental effect on workability of wrought alloys. In the present work, the dissolution characteristics of γ phase have been investigated in AZ31 wrought magnesium alloy. Considering the eutectic temperature of AZ31 alloy, the homogenization treatment was executed in temperature range of 300-437 °C (i.e., somewhat below eutectic melting temperature of γ precipitate) and 437-500 °C (i.e., higher eutectic melting temperature of γ precipitate) for different durations. A thorough microstructural investigation and also thermodynamic calculations were executed. The results indicated that the dissolution rate of γ phase is very low even at temperatures just below the eutectic point of the alloy, whereas it dramatically increases at temperatures higher than eutectic point. Moreover, it is suggested that partial melting of γ phase due to eutectic melting reaction (α+γ→L) may lead to reduced formability.

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Constitutive modeling for the dynamic recrystallization evolution of AZ80 magnesium alloy based on stress–strain data

Cited by 121 publications

References 15 publications

Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations

Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations

The improved arrhenius model with variable parameters of flow behavior characterizing for the as-cast AZ80 magnesium alloy

An investigation into the dissolution characteristics of γ precipitates in Mg-3Al-Zn alloy

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