A new constitutive model and hot processing map of 5A06 aluminum alloy based on high-temperature rheological behavior and higher-order gradients

Wang, Jing; Xiao, Guiqian; Zhang, Jiansheng

doi:10.1016/j.mtcomm.2023.106502

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…The Hensel-Spittel (HS) equation is frequently utilized in simulations for hot forming, including the widely recognized Forge NxT 4.0 software, owing to its uncomplicated structure and readily obtainable parameters [22][23][24]. Equation (1) shows the general structure of the HS model.…”

Section: Constitutive Modelmentioning

confidence: 99%

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Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Sun,

Qin,

Liu

et al. 2024

Materials

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To obtain the optimal hot deformation process, the rheological and dynamic recrystallization behaviors of A100 steel were researched through isothermal compression tests. Firstly, a Hensel-Spittel constitutive model was established based on the stress–strain curves. Secondly, dynamic recrystallization percentage and grain size models were established to identify the necessary conditions for complete dynamic recrystallization. Finally, microstructural analysis was employed to validate the accuracy of the recrystallization model. The results indicate that the flow stress is highly sensitive to both the strain rate and the temperature, and the HS model demonstrates a high predictive accuracy, with a correlation coefficient of 0.9914. There exists a contradictory relationship between decreasing the average grain size and increasing the recrystallization percentage. The higher the percentage of dynamic recrystallization, the larger the average grain size tends to be. This situation should be avoided when devising the actual processing procedures. The optimal hot working processes for achieving complete dynamic recrystallization and a smaller average grain size are as follows: a strain equal to or greater than 0.6, a temperature between 1193 and 1353 K, and a strain rate between 0.1 and 1 s−1.

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Section: Constitutive Modelmentioning

confidence: 99%

“…The correlation coefficients and the average errors are displayed in Figure 4. and readily obtainable parameters [22][23][24]. Equation (1) shows the general structure of the HS model.…”

Section: Constitutive Modelmentioning

confidence: 99%

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Sun,

Qin,

Liu

et al. 2024

Materials

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“…On the other hand, an instability map was also acquired, which is capable of avoiding the flow instability regions. Taking the comprehensive influence of these two kinds of maps, a processing map can be established [31]. Figure 9 displays the processing maps of AA7075 at various strains from 0.4 to 1.39.…”

Section: The Analysis Of Processing Mapmentioning

confidence: 99%

Deformation Behavior and Processing Maps of 7075 Aluminum Alloy under Large-Strain Thermal Compression

Xia,

Ye,

Qiu

et al. 2023

Materials

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The investigation of thermal deformation behavior plays a significant role in guaranteeing the overall performance of alloy materials. In this manuscript, a series of isothermal compression tests at different temperatures (300, 350, 400, and 450 °C) and strain rates (0.001, 0.01, 0.1, and 1 s−1) were conducted to study the thermal deformation behavior of 7075 aluminum alloy. Subsequently, processing maps at a strain from 0.4 to 1.39 were established according to the stress–strain data obtained from various deformation parameters. The microstructural evolution of the target alloy was observed with an optical microscope and transmission electron microscope. The results reveal the unstable regions are located at (360–450 °C, 0.04–1 s−1) and (300–315 °C, 0.01–0.22 s−1). Precipitation particles, pinned dislocations, and highly dislocated areas can be observed in the microstructure of the alloy in the unstable regions. This is a potential crack and defect formation point. The identified optimum processing parameters are located at (375–450 °C, 0.001–0.03 s−1), with a maximum dissipation efficiency of 0.6.

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“…While the hot processing map is a useful tool to determine the hot process parameters based on the true stress–strain data 18 , 20 . For example, Wang et al 21 established hot processing map of 5A06 aluminum alloy and found that the optimum hot working range of 5A06 aluminum alloy was 350 °C–427 °C and 0.01 s −1 –1 s −1 . Li et al 22 established hot processing map of 7A65 aluminum alloy and analyzed the optimum hot working range as 360 °C–440 °C and 0.1 s −1 –0.5 s −1 and the microstructure evolution of 7A65 aluminum alloy during hot compression was explained by EBSD (Electron back scatter diffraction).…”

Section: Introductionmentioning

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

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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.

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A new constitutive model and hot processing map of 5A06 aluminum alloy based on high-temperature rheological behavior and higher-order gradients

Cited by 4 publications

References 19 publications

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Deformation Behavior and Processing Maps of 7075 Aluminum Alloy under Large-Strain Thermal Compression

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

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