Dynamic restoration mechanism and physically based constitutive model of 2050 Al–Li alloy during hot compression

Zhu, Rongfeng; Liu, Qing; Li, Jinfeng; Xiang, Sheng; Chen, Yong-lai; Zhang, Xu-hu

doi:10.1016/j.jallcom.2015.07.182

Cited by 79 publications

(15 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…20. As no obvious yield points on the high temperature stress-strain curves, flow stresses with plastic deformation up to 0.2% were taken as the initial yield stresses [31][32][33]. By differentiating Eq.…”

Section: Kinetic Model For Drv Dynamic Softeningmentioning

confidence: 99%

Analytical Descriptions of Dynamic Softening Mechanisms for Ti-13Nb-13Zr Biomedical Alloy in Single Phase and Two Phase Regions

Quan¹,

Wang²,

Li³

et al. 2017

Archives of Metallurgy and Materials

View full text Add to dashboard Cite

Dynamic softening behaviors of a promising biomedical Ti-13Nb-13Zr alloy under hot deformation conditions across dual phase α + β and single phase β regions were quantitatively characterized by establishing corresponding dynamic recovery (DRV) and dynamic recrystallization (DRX) kinetic models. A series of wide range hot compression tests on a Gleeble-3500 thermo-mechanical physical simulator were implemented under the strain rate range of 0.01-10 s −1 and the temperature range of 923-1173 K. The apparent differences of flow stress curves obtained in dual phase α + β and single phase β regions were analyzed in term of different dependence of flow stress to temperature and strain rate and different microstructural evolutions. Two typical softening mechanisms about DRV and DRX were identified through the variations of a series of stress-strain curves acquired from these compression tests. DRX is the dominant softeni ng mechanism in dual phase α + β range, while DRV is the main softening mechanism in single phase β range. The DRV kinetic model for single phase β region and the DRX kinetic model for dual phase α + β region were established respectively. In addition, the microstructures of the compressed specimens were observed validating the softening mechanisms accordingly.

show abstract

Section: Kinetic Model For Drv Dynamic Softeningmentioning

confidence: 99%

Analytical Descriptions of Dynamic Softening Mechanisms for Ti-13Nb-13Zr Biomedical Alloy in Single Phase and Two Phase Regions

Quan¹,

Wang²,

Li³

et al. 2017

Archives of Metallurgy and Materials

View full text Add to dashboard Cite

show abstract

“…On the basis of the theory of dislocation density and Avrami dynamics, a physical‐based constitutive model was established, which can accurately predict the relationship between flow stress and deformation parameters. [ 20–23 ] In the strain‐compensated Arrhenius‐type equation, the coupled effect of strain rate and temperature describes the role of Zener–Hollomon (Z–H) parameter ( Z ) in the prediction of heat flow stress. [ 24,25 ] Physical models have abundant information properties in understanding the mechanisms related to the dynamic deformation of materials.…”

Section: Introductionmentioning

confidence: 99%

The Flow Stress Behavior and Constitutive Model of Cr8Mo2SiV Tool Steel during Hot Deformation

Ren

et al. 2020

steel research int.

View full text Add to dashboard Cite

The uniaxial hot compression tests of Cr8Mo2SiV tool steel are conducted by thermomechanical simulator in a wide strain rate range of 0.005–5 s−1 and temperature range of 900–1150 °C to predict the hot deformation behavior. It is found that flow stress strongly depends on deformation temperature and strain rate under the mechanisms of dynamic softening and work hardening. Second, the Johnson–Cook model and modified Arrhenius‐type equation considering the compensation of strain are proposed for the estimation of flow stress of the tool steel. Subsequently, the validity of the established constitutive models is verified by standard statistical parameters including correlation coefficient (R) and average absolute relative error (AARE). Finally, the hot deformed microstructure is analyzed using the constitutive model with strong predictive ability. With the decrease in lnZ (Z is the Zener–Hollomon [Z–H] parameter) value from 43.5 to 32.7 s−1, microstructure evolution indicates that a remarkable increase in the high‐angle grain boundaries (misorientation more than 15°) from 19.1% to 32.6%, which also reflects the reliability of Z–H map in predicting dynamic recrystallization behavior under most thermal deformation conditions.

show abstract

“…We note that most of the published works are phenomenological or empirical in considering the influence of strain on the flow stresses. It is also worth noting that the continuous research interests has brought out new physical based constitutive models in the very recent studies [24,25]. However, to the best of our knowledge, very limited investigation has been reported on the ultra-high strength steel.…”

Section: Introductionmentioning

confidence: 99%

Constitutive Analysis on High-Temperature Flow Behavior of 3Cr-1Si-1Ni Ultra-High Strength Steel for Modeling of Flow Stress

Lei

Chen

Liu

et al. 2019

Metals

View full text Add to dashboard Cite

High-temperature plastic flow is the underlying process that governs the product quality in many advanced metal manufacturing technologies, such as extrusion, rolling, and welding. Data and models on the high-temperature flow behavior are generally desired in the design of these manufacturing processes. In this paper, quantitative constitutive analysis is carried out on 3Cr-1Si-1Ni ultra-high strength steel, which sheds light on the mathematic relation between the flow stress and the thermal-mechanical state variables, such as temperature, plastic strain, and strain rate. Particularly, the hyperbolic-sine equation in combination with the Zener-Hollomon parameter is shown to be successful in representing the effect of temperature and strain rate on the flow stress of the 3Cr-1Si-1Ni steel. It is found that the flow stress of the 3Cr-1Si-1Ni steel is significantly influenced by strain. The strain-dependence on flow stress is not identical at different temperatures and strain rates. In the constitutive model, the influence of strain in the constitutive analysis is successfully implemented by introducing strain-dependent constants for the constitutive equations. Fifth-order polynomial equations are employed to fit the strain-dependence of the constitutive constant. The proposed constitutive equations which considers the compensation of strain is found to accurately predict flow stress of the 3Cr-1Si-1Ni steel at the temperatures ranging from 800 °C to 1250 °C, strain rate ranging from 0.01/s to 10/s, and strain ranging from 0.05 to 0.6.

show abstract

Dynamic restoration mechanism and physically based constitutive model of 2050 Al–Li alloy during hot compression

Cited by 79 publications

References 39 publications

Analytical Descriptions of Dynamic Softening Mechanisms for Ti-13Nb-13Zr Biomedical Alloy in Single Phase and Two Phase Regions

Analytical Descriptions of Dynamic Softening Mechanisms for Ti-13Nb-13Zr Biomedical Alloy in Single Phase and Two Phase Regions

The Flow Stress Behavior and Constitutive Model of Cr8Mo2SiV Tool Steel during Hot Deformation

Constitutive Analysis on High-Temperature Flow Behavior of 3Cr-1Si-1Ni Ultra-High Strength Steel for Modeling of Flow Stress

Contact Info

Product

Resources

About