Constitutive equation and dynamic recovery mechanism of high strength cast Al-Cu-Mn alloy during hot deformation

Shi, Dongjin; Zhang, Fan; He, Ziyu; Zhan, Zhaolin; Gao, Wei; Li, Zulai

doi:10.1016/j.mtcomm.2022.104199

Cited by 9 publications

(2 citation statements)

References 50 publications

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“…By regulating DRX, the high temperature deformation can eliminate a number of defects, effectively refine the prior austenite grains and martensitic structure, adjust the grain distribution and improve the mechanical properties of materials [2,3]. The stored energy of deformation increases continuously as the deformation of materials increases.…”

Section: Introductionmentioning

confidence: 99%

Dynamic recrystallization behavior and processing maps of 5CrNiMoV steel during hot deformation

Li¹,

Bu²,

Han³

et al. 2023

Mater. Res. Express

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Hot deformation tests of 5CrNiMoV steel were performed at deformation temperatures of 700 to 870 °C and strain rates of 0.001 to 0.1 s-1 using the DIL 805D thermomechanical simulator. The critical strain and volume fraction models of Dynamic Recrystallization (DRX) were constructed based on the work hardening theory. The results showed that the critical strain of DRX decreases with increasing deformation temperature and decreasing strain rate, which implies that DRX occurs easily at higher temperatures and lower strain rates. The average DRX grain size model was established to predict grain size changes during hot deformation. Based on the hot processing maps that were constructed using the Dynamic Material Model (DMM) and microstructure observation, the optimum hot working parameters for 5CrNiMoV steel are a deformation temperature of 800–870 °C, a strain rate of 0.001–0.05 s-1.

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Section: Introductionmentioning

confidence: 99%

Dynamic recrystallization behavior and processing maps of 5CrNiMoV steel during hot deformation

Li¹,

Bu²,

Han³

et al. 2023

Mater. Res. Express

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show abstract

“…The extent and intensity of the above phenomena strongly depend on three macroscopic quantities, namely the strain ε, the strain rate . ε, and the temperature T [9][10][11][12]. Considering the large size of blocks, a purely experimental approach, based on trial and error, cannot be used by industry, and therefore, reliable predictive tools, such a finite element analysis (FEA) codes, have been developed and are commercially available.…”

Section: Introductionmentioning

confidence: 99%

Interpolation and Extrapolation Performance Measurement of Analytical and ANN-Based Flow Laws for Hot Deformation Behavior of Medium Carbon Steel

Mha

Dhondapure

Jahazi

et al. 2023

Metals

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In the present work, a critical analysis of the most-commonly used analytical models and recently introduced ANN-based models was performed to evaluate their predictive accuracy within and outside the experimental interval used to generate them. The high-temperature deformation behavior of a medium carbon steel was studied over a wide range of strains, strain rates, and temperatures using hot compression tests on a Gleeble-3800. The experimental flow curves were modeled using the Johnson–Cook, Modified-Zerilli–Armstrong, Hansel–Spittel, Arrhenius, and PTM models, as well as an ANN model. The mean absolute relative error and root-mean-squared error values were used to quantify the predictive accuracy of the models analyzed. The results indicated that the Johnson–Cook and Modified-Zerilli–Armstrong models had a significant error, while the Hansel–Spittel, PTM, and Arrhenius models were able to predict the behavior of this alloy. The ANN model showed excellent agreement between the predicted and experimental flow curves, with an error of less than 0.62%. To validate the performance, the ability to interpolate and extrapolate the experimental data was also tested. The Hansel–Spittel, PTM, and Arrhenius models showed good interpolation and extrapolation capabilities. However, the ANN model was the most-powerful of all the models.

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Electron Backscatter Diffraction Investigation on Microstructure Evolution of TiB2(p)/Al-Cu Composite after Single-Pass Equal Channel Angular Pressing for Formability Assessment

Yang,

Wang,

Jarfors

et al. 2024

J. of Materi Eng and Perform

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Constitutive equation and dynamic recovery mechanism of high strength cast Al-Cu-Mn alloy during hot deformation

Cited by 9 publications

References 50 publications

Dynamic recrystallization behavior and processing maps of 5CrNiMoV steel during hot deformation

Dynamic recrystallization behavior and processing maps of 5CrNiMoV steel during hot deformation

Interpolation and Extrapolation Performance Measurement of Analytical and ANN-Based Flow Laws for Hot Deformation Behavior of Medium Carbon Steel

Electron Backscatter Diffraction Investigation on Microstructure Evolution of TiB2(p)/Al-Cu Composite after Single-Pass Equal Channel Angular Pressing for Formability Assessment

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