Hot Deformation Behavior, Dynamic Recrystallization, and Texture Evolution of Ti–22Al–25Nb Alloy

Wu, Yang; Kou, Hongchao; Tang, Bin; Li, Jinshan

doi:10.1002/adem.201700587

Cited by 22 publications

(8 citation statements)

References 29 publications

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“…In addition, the macroscopic flow behavior of alloys can effectively reflect the microscopic deformation mechanisms . Some studies have shown that the deformation mechanisms of Ti alloys are mainly dynamic recovery (DRV), dynamic recrystallization (DRX), platelet kinking/elongated, phase transformation, and dynamic globularization . Lin et al found that the higher dislocation density and obvious dislocation pileups can be noticed at the α/β interface, which induces the DRX nucleation of β grains at the α/β interface for a Ti‐55511 alloy with basket‐weave microstructures.…”

Section: Introductionmentioning

confidence: 99%

Hot Tensile Deformation Mechanism and Dynamic Softening Behavior of Ti–6Al–4V Alloy with Thick Lamellar Microstructures

Lin

Pang

et al. 2019

Adv Eng Mater

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The deformation mechanisms and dynamic softening behavior of a Ti–6Al–4V alloy with thick lamellar microstructures are studied by uniaxial hot tensile tests. The true stress first rapidly reaches a peak value because of the rapid dislocations proliferation and tangle, and then gradually decreases due to the dynamic softening with raising the deformation amount. The dynamic softening behavior is mainly induced by the severe dynamic globularization of lamellar α phases. The globularization of α phase is always accompanied by the formation of high‐angle grain boundaries (HAGBs). The fraction of globularized α phases increases with the increasing deformation temperature. The fracture mechanism is microvoid coalescence, i.e., in the initial stage of tensile deformation, the microvoids begin to emerge. With the increasing deformation amount, the number of microvoids increases, and the microvoids accumulate and accelerate to propagate until the final fracture. According to the experimental flow stress curves, a modified Arrhenius‐type equation and a Hensel–Spittel (HS) model are developed to forecast the flow stresses. The average absolute relative error of the established strain‐compensated Arrhenius‐type (SCAT) and HS models are 6.108% and 3.385%, respectively. Both models can be well used to describe the hot tensile flow characteristics of the Ti–6Al–4V alloy with thick lamellar microstructures.

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Section: Introductionmentioning

confidence: 99%

Hot Tensile Deformation Mechanism and Dynamic Softening Behavior of Ti–6Al–4V Alloy with Thick Lamellar Microstructures

Lin

Pang

et al. 2019

Adv Eng Mater

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“…By the increase of the strain rate, the flow softening phenomenon was observed at low temperatures. Flow softening followed by a steady state flow stress is due to the occurrence of dynamic re- covery and dynamic recrystallization; whereas a continuous descending flow curve is a sign of flow localization resulted in cracks and adiabatic shear bands [27][28]. Such conditions may exist in specimens deformed at 850°C-950°C with strain rates around 0.1 s À 1 , and section 3.3 will discuss these possibilities.…”

Section: Flow Stress Curvesmentioning

confidence: 99%

Hot deformation behavior and processing maps of iron‐nickel based superalloy

Fazilatpanah

Jahangiri

Khodabandeh

2019

Materialwissenschaft Werkst

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Hot deformation behavior of iron-nickel based superalloy (multimet N-155) was investigated by hot compression tests, carried out in the deformation temperature of 850°C-1150°C with strain rates of 0.001-0.1 s À 1 . The results showed that during the hot deformation of the alloy, under the same temperature, the flow stress rises with the increase of strain rate. At the same strain rate, the flow stress decreases with the increase of the temperature. The constitutive equations of the alloy that describe the flow stress as a function of strain rate and deformation temperature were established and the calculated apparent activation energy was 584.996 Kj/ mol. The results of metallographic analysis showed that the amount of dynamic recrystallization in the peak efficiency domain is higher than the other domains.The results also showed that by increase of deformation temperature and/or decrease of strain rate, the volume fraction of dynamic recrystallization increases. Processing maps under different strains were constructed for evaluation of flow instability regime and optimization of processing parameters. The optimum hot working window for alloy was obtained at the temperature range of 925°C-1050°C and strain rate of 0.001-0.003 s À 1 , with peak efficiency of 28 %.

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“…[1][2][3][4][5] Currently, suitable hot deformation can effectively refine grains and improve the mechanical properties of titanium alloys. [6][7][8][9] Nevertheless, the hot deformation parameters observably affect the microstructure evolution and mechanical properties, and the processing windows are relatively narrow. [10][11][12] Therefore, it is necessary to research the flow behaviors and deformation mechanisms of titanium alloys.…”

Section: Introductionmentioning

confidence: 99%

Dislocation Density–Based Model and Stacked Auto‐Encoder Model for Ti‐55511 Alloy with Basket‐Weave Microstructures Deformed in α + β Region

et al. 2021

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The flow behaviors of Ti-55511 alloy with basket-weave microstructures are investigated during the hot compression in α þ β region. It is observed that the flow behaviors are visibly influenced by the deformation temperature and strain rates. The primary softening mechanisms are the dynamic recovery of β grains and the spheroidization of lamellar α phases. Meanwhile, a dislocation densitybased model and a stacked auto-encoder (SAE) model are built to reveal the flow behaviors of the studied alloy. The relationship between the evolution of dislocation density and the hardening/softening mechanisms are considered in the dislocation density-based model, with the correlation coefficient being 0.9957. The structures of the established SAE model based on the intelligence algorithm are confirmed layer by layer. The SAE model has a high prediction accuracy when the number of hidden layers is 3, and the nodes of three hidden layers are 15, 40, and 35, respectively. It can demonstrate the nonlinear relationship between the flow stress and deformation parameters.

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Hot Deformation Behavior, Dynamic Recrystallization, and Texture Evolution of Ti–22Al–25Nb Alloy

Cited by 22 publications

References 29 publications

Hot Tensile Deformation Mechanism and Dynamic Softening Behavior of Ti–6Al–4V Alloy with Thick Lamellar Microstructures

Hot Tensile Deformation Mechanism and Dynamic Softening Behavior of Ti–6Al–4V Alloy with Thick Lamellar Microstructures

Hot deformation behavior and processing maps of iron‐nickel based superalloy

Dislocation Density–Based Model and Stacked Auto‐Encoder Model for Ti‐55511 Alloy with Basket‐Weave Microstructures Deformed in α + β Region

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