Hot deformation behavior and constitutive equation of a new type Al–Zn–Mg–Er–Zr alloy during isothermal compression

Wu, Hao; Wen, S.P.; Huang, Hui; Wu, X.L.; Gao, Kun; Wang, W.; Nie, Zuo Ren

doi:10.1016/j.msea.2015.10.122

Cited by 118 publications

(26 citation statements)

References 31 publications

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“…Generally, the relationship between true stress and processing parameters of the studied alloy are highly nonlinear. Moreover, similar deformation characteristics of the other alloys are also observed by many researchers [19][20][21]. …”

Section: Flow Behaviorsupporting

confidence: 85%

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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Section: Flow Behaviorsupporting

confidence: 85%

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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“…Similar with the property of other Al alloy, deformation temperature and strain rate have remarkable effect on the flow stress of both Cu/Al laminated composites and monometallic Al. And flow stress increases with increasing strain rate or decreasing deformation temperature [15,32,33]. What makes the Cu/Al laminated composite apart from monometallic Al is the variation tendency of flow stress.…”

Section: True Stress-true Strain Curvesmentioning

confidence: 99%

Hot Deformation Behaviour of Cu/Al Laminated Composites under Interface Constraint Effect

Liu¹,

Wang²,

Liang³

et al. 2018

Preprint

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Abstract:In order to understand the hot deformation behavior of novel Cu/Al laminated composites, isothermal hot compression tests were conducted by Gleeble-1500D thermo-mechanical simulator. And the effect of bonding interface, deformation temperature and strain rate on the deformation behavior was analyzed. Results show that under the interface constraint effect, soft Al layer trends to flow synchronously with hard Cu layer. And further microstructure examinations indicate the cooperative deformation capability of Cu/Al composites increases with increasing stain rate and decreasing deformation temperature. Strain hardening exponent, calculated based on the true stress-true strain data, also proves the effect of deformation temperature and strain rate on the cooperative deformation behavior. Meanwhile, unique composites structure allows the Al matrix to exhibit the characteristic of dynamic recrystallization during the hot deformation process. Lastly, strain compensated Arrhenius-type constitutive equation was employed to describe the coupling effect of temperature, strain rate and strain on the flow stress. Key words: Cu/Al laminated composites; deformation behavior; interface; microstructure; constitutive equation IntroductionWith the rapid development of modern industry, light-weight is an intense pursuit goal for more economical and green development at the basis of keeping original mechanical properties. Copper/aluminum (Cu/Al) laminated composites have been developed to meet these demands and several fabricate methods also have been presented in recent years [1][2][3][4][5]. Practices indicate that compared to monometallic copper or copper alloy, Cu/Al composites can reduce the weight of 40 ~ 50 %, save the cost of 30 ~ 50 % and keep almost consistent electrical and thermal conductivity [6]. Therefore, Cu/Al laminated composites have been utilized in a number of areas such as power, communication, architecture and aerospace [5,7]. Until now, numerous studies about Cu/Al composites are mainly focused on the fabricate technologies [1][2][3][4][5], thermal treatment crafts [8][9][10] and bonding mechanisms [11,12]. However, thermal mechanical machining such as hot rolling and tension also are necessary for Cu/Al composites in order to meet various industrial needs, to the authors' knowledge, related research is not available.For the hot deformation behavior of metal materials, the essence is dynamic competition between work hardening and dynamic softening (including dynamic recrystallization and dynamic recovery), and the process is significantly affected by deformation temperature, strain rate, microstructure and so on [13]. Until now, Arrhenius-type constitutive equation is a kind of commonly used mathematical model to describe the relationship between the flow stress and deformation temperature, strain rate and deformation activation energy during the hot deformation process [14]. And the hot deformation behaviors of constituent metals of Cu/Al laminated composites have been investigated respectively thro...

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“…It is well known that the constitutive model is affected not only by the deformation temperature and strain rate, but also by the strain in the hot deformation of metal materials [7,10,12,17,[29][30][31][32]. Therefore, the values of material coefficients (i.e.,  , A , n , Q ) of the constitutive equation are calculated under different strains in a range of 0.05 to 0.9 with the interval of 0.05 by the same method used previously.…”

Section: Arrhenius-type Constitutive Modelmentioning

confidence: 99%

“…Therefore, the values of material coefficients (i.e., α, A, n, Q) of the constitutive equation are calculated under different strains in a range of 0.05 to 0.9 with the interval of 0.05 by the same method used previously. These values were then used to fit the polynomial functions (Figure 6), and the variation of α, lnA, n and Q with true strain ε could be represented by a sixth order polynomial respectively, as shown in Equation (12). The coefficients of the sixth order polynomial functions are tabulated in Table 1: Thus, the improved Arrhenius type model with variable coefficients can be expressed as Equation (13).…”

Section: Arrhenius-type Constitutive Modelmentioning

confidence: 99%

Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model

2016

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Abstract:In order to predict hot deformation behavior of superalloy nimonic 80A, a back-propagational artificial neural network (BP-ANN) and strain-dependent Arrhenius-type model were established based on the experimental data from isothermal compression tests on a Gleeble-3500 thermo-mechanical simulator at temperatures ranging of 1050-1250˝C, strain rates ranging of 0.01-10.0 s´1. A comparison on a BP-ANN model and modified Arrhenius-type constitutive equation has been implemented in terms of statistical parameters, involving mean value of relative (µ), standard deviation (w), correlation coefficient (R) and average absolute relative error (AARE). The µ-value and w-value of the improved Arrhenius-type model are 3.0012% and 2.0533%, respectively, while their values of the BP-ANN model are 0.0714% and 0.2564%, respectively. Meanwhile, the R-value and ARRE-value for the improved Arrhenius-type model are 0.9899 and 3.06%, while their values for the BP-ANN model are 0.9998 and 1.20%. The results indicate that the BP-ANN model can accurately track the experimental data and show a good generalization capability to predict complex flow behavior. Then, a 3D continuous interaction space for temperature, strain rate, strain and stress was constructed based on the expanded data predicted by a well-trained BP-ANN model. The developed 3D continuous space for hot working parameters articulates the intrinsic relationships of superalloy nimonic 80A.

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Hot deformation behavior and constitutive equation of a new type Al–Zn–Mg–Er–Zr alloy during isothermal compression

Cited by 118 publications

References 31 publications

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

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

Hot Deformation Behaviour of Cu/Al Laminated Composites under Interface Constraint Effect

Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model

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