An optimized constitutive model and microstructure characterization of a homogenized Al-Cu-Li alloy during hot deformation

Long, Shijun; Wu, Danchen; Shu-yan, Wang; Yu-peng, Jiang; Run-ze, Xia; Li, Shi-shan; Zhou, Yuting; Peng, Peng; Dai, Qing

doi:10.1016/j.jallcom.2022.167290

Cited by 16 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adiabatic correction factor η is calculated by Eq. ( 8 ) 29 , 30 : where is the strain rate, is the reference strain rate and with a value of 1 s −1 . Gholamzadeh and Karimi Taheri 31 proposed Eq.…”

Section: Resultsmentioning

confidence: 99%

Investigation of deformation behavior and strain-induced precipitations in Al–Zn–Mg–Cu alloys across a wide temperature range

Zhang,

Zuo,

Yang

et al. 2024

Sci Rep

View full text Add to dashboard Cite

This study explores the hot deformation behavior of Al–Zn–Mg–Cu alloy through uniaxial hot compression (200 °C–450°C) using the Gleeble-1500. True stress–strain curves were corrected, and three models were established: the Arrhenius model, strain compensated (SC) Arrhenius model, and strain compensated recrystallization temperature (RT) segmentation-based (TS-SC) Arrhenius model. Comparative analysis revealed the limited predictive accuracy of the SC Arrhenius model, with a 25.12% average absolute relative error (AARE), while the TS-SC Arrhenius model exhibited a significantly improved to 9.901% AARE. Material parameter calculations displayed variations across the temperature range. The SC Arrhenius model, utilizing an average slope method for parameter computation, failed to consider temperature-induced disparities, limiting its predictive capability. Hot processing map, utilizing the Murty improved Dynamic Materials Model (DMM), indicated optimal conditions for stable forming of the Al–Zn–Mg–Cu alloy. Microstructural analysis revealed MgZn2 precipitation induced by hot deformation, with crystallographic defects enhancing nucleation rates and precipitate refinement.

show abstract

Section: Resultsmentioning

confidence: 99%

Investigation of deformation behavior and strain-induced precipitations in Al–Zn–Mg–Cu alloys across a wide temperature range

Zhang,

Zuo,

Yang

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Arrhenius model is currently the most commonly used model for calculating and analyzing the relationship between the flow stress σ of alloys and various parameters such as strain rate (ɛ) and temperature (T). The constitutive equations for ɛ mainly fall into three categories: (1), (2), and (3) [24,45,46].…”

Section: Prediction Of Rheological Stresses By the Intrinsic Equationsmentioning

confidence: 99%

Prediction of flow stress in Mg-3Dy alloy based on constitutive equation and PSO-SVR model

Liu,

Feng,

Liu

et al. 2024

Mater. Res. Express

View full text Add to dashboard Cite

This study conducted hot compression experiments on as-cast Mg-3Dy alloy under deformation parameters of 380-470℃ and 0.001-1s-1. The microstructure of the alloy was observed using EBSD, and the flow stress of the Mg-3Dy alloy was predicted using the Arrhenius model and the particle swarm optimization-support vector regression (PSO-SVR) model. The organizational analysis results showed that the main recrystallization mechanism in the alloy is the discontinuous dynamic recrystallization (DDRX) mechanism. The generation of twins in the alloy was mostly the result of local stress action. The optimal processing window for this alloy was determined to be 380-470 °C and 0.001-0.01 s-1 through the thermal processing map. The prediction accuracies of the Arrhenius model and PSO-SVR model were evaluated using the correlation coefficient R2 and mean squared error MSE. The results showed that the PSO-SVR model significantly outperforms the Arrhenius model in prediction accuracy, with R2 value of 0.99982 and MSE of 0.074.

show abstract

“…Wang et al have studied the dynamic precipitation behavior of Al-Cu-Li alloy at deformation temperatures of 300 • C and 400 • C and strain rates of 0.01 s −1 and 0.1 s −1 , finding that the precipitated phase will not affect the recrystallization mechanism but will significantly change the dynamic recrystallization fraction [15]. At the same time, it has been long believed that the coarse insoluble phases in Al-Cu-Li alloy can promote particle stimulated nucleation (PSN) and significantly increase the volume fraction of dynamic recrystallization and flow stress at low temperatures (<400 • C) [16].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Recrystallization Nucleation Mechanism and Precipitation Behavior of Homogeneous Al-Zn-Mg-Cu Alloy during Hot Deformation

Zhao,

Cao,

Fang

et al. 2024

Metals

View full text Add to dashboard Cite

The hot deformation behavior of Al-Zn-Mg-Cu alloy was investigated by flow stress curves in isothermal hot compression experiments with deformation temperatures of 350–450 °C and strain rates of 0.01 s−1 to 1 s−1, and the constitutive equation of homogeneous alloy was obtained. At the same time, the dynamic recrystallization and precipitation behavior during hot deformation and the relationship between them and the Z parameters were studied by using EBSD and TEM. DRV is the main mechanism of dynamic softening. With the decrease in Z parameter, the softening mechanism changes from dynamic recovery to discontinuous dynamic recrystallization or continuous dynamic recrystallization. At a higher Z parameter, the dislocation density and precipitated phase density are also higher because the high dislocation density provides heterogeneous nucleation sites of the precipitated phase. A large number of precipitates in the alloy also inhibit the nucleation and growth of dynamic recrystallization by hindering dislocation movement and grain boundary migration.

show abstract

An optimized constitutive model and microstructure characterization of a homogenized Al-Cu-Li alloy during hot deformation

Cited by 16 publications

References 42 publications

Investigation of deformation behavior and strain-induced precipitations in Al–Zn–Mg–Cu alloys across a wide temperature range

Investigation of deformation behavior and strain-induced precipitations in Al–Zn–Mg–Cu alloys across a wide temperature range

Prediction of flow stress in Mg-3Dy alloy based on constitutive equation and PSO-SVR model

Dynamic Recrystallization Nucleation Mechanism and Precipitation Behavior of Homogeneous Al-Zn-Mg-Cu Alloy during Hot Deformation

Contact Info

Product

Resources

About