Hot Deformation Behavior of V–Ti Microalloy Steels

Xiong, Wei; Song, Ren‐Jie; Yu, Peng; Liu, Zhijun; Qin, Shuai; Zhang, Yingchao; Quan, Shuyi; Huo, Wangtu; Zhao, Zhiyang; Su, Shaobo; Chen, Wei

doi:10.1002/srin.202000225

Cited by 10 publications

(7 citation statements)

References 24 publications

(22 reference statements)

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“…The Arrhenius-type equation is used to describe the relationship between stress and strain rate in this hot activation process. Its mathematical expression has the following three expression forms: exponential type, power function type and hyperbolic sine type [40,41]. where A 1 , A 2 , A 3 , n 1 , n, β, α ( α = β / n 1 ) are the material constants, σ is the flow stress value (MPa).…”

Section: Resultsmentioning

confidence: 99%

The analysis of hot deformation behaviour of low-cost α+β Ti-6Al-0.4V-1.2Fe alloys

Wan

Ren

Guo

et al. 2023

Materials Science and Technology

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The low-cost Ti-6Al-0.4V-1.2Fe alloy was subjected to isothermal compression experiments on the Gleeble 3800, and the deformation temperature was 775°C∼975°C and the strain rate was 0.01 s−1∼10 s−1. Based on the experimental data on thermal deformation, the microstructure evolution was studied and the constitutive equation was developed. The experimental results show that the flow stress increased with increasing deformation temperature and with the increase of the strain rate; the optimal deformation temperature of Ti-6Al-0.4V-1.2Fe alloy is 820°C∼950°C, and the strain rate is 0.01 s−1∼0.32 s−1; During hot deformation, the primary softening mechanism of this alloy is continuous dynamic recrystallisation. Compared with Ti-6Al-4V, the Ti-6Al-0.4V-1.2Fe alloy has better hot workability and better plasticity. Highlights A newly low-cost Ti-6Al-0.4V-1.2Fe alloy was designed based on the Kβ stability coefficient method, and the β stability coefficient was the same as that of Ti-6Al-4V. A study on the microstructure evolution in the process of hot deformation between Ti-6Al-0.4V-1.2Fe and Ti-6Al-4V alloys. A study on microstructure evolution and hot working process of a newly low-cost Ti-6Al-0.4V-1.2Fe alloy.

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Section: Resultsmentioning

confidence: 99%

The analysis of hot deformation behaviour of low-cost α+β Ti-6Al-0.4V-1.2Fe alloys

Wan

Ren

Guo

et al. 2023

Materials Science and Technology

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“…The Arrhenius constitutive model has attracted widespread attention due to its high accuracy and wide generalizability. The model is first proposed by Sellars and McTegart, [ 62 ] and its specific form is shown in Equation (13) [ 63,64 ]

Z = \overset{false.}{ε} \exp (\frac{Q}{R T}) = 9extrue{\begin{matrix} A_{1} σ^{n_{1}}, & false(α σ < 0.8 false) \\ A_{2} \exp false(β σ false), & false(α σ > 1.2 false) \\ A {[\sinh (α σ)]}^{n}, & false(for all false) \end{matrix}

where

A_{1}, A_{2}, A, n_{1,} and β

are material constants, α is equal to β /

n_{1}

, R is gas constant, Z is the Zener–Hollomon parameter, Q is the deformation activation energy, and n is the stress index. Equation (14) can be obtained by taking logarithms of both sides of Equation (13).…”

Section: Resultsmentioning

confidence: 99%

“…The Arrhenius constitutive model has attracted widespread attention due to its high accuracy and wide generalizability. The model is first proposed by Sellars and McTegart, [62] and its specific form is shown in Equation ( 13) [63,64]…”

Section: Strain-compensated Arrhenius Constitutive Modelmentioning

confidence: 99%

Flow Stress Characteristics and Constitutive Modeling of Typical Ultrahigh‐Strength Steel under High Temperature and Large Strain

Zhao

Huang

et al. 2022

steel research int.

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Generally, steels with a yield strength more than 1400 MPa are defined as ultrahigh-strength steels. [1] Ultrahigh-strength steels own exceptional mechanical qualities and are utilized to create large key load-bearing components, [2][3][4] which are commonly treated by hot forging with considerable strain. During the hot forging process with large strain, the mechanisms of dynamic recovery and dynamic recrystallization occur, which make it difficult to control the flow behaviors. [5,6] In addition, flow behaviors closely depend on strain, strain rate, and deformation temperature during the hot deformation process. The flow characteristics are dramatically different at various deformation parameters. The numerous features make it challenging to forecast flow characteristics and optimize hot processing parameters. [7] Constitutive modeling is a powerful method to simulate the real deformation process. [8] So, it is vital to analyze flow characteristics and develop an appropriate constitutive model for ultrahigh-strength steels during the hot forging process with large strain.Constitutive models include artificial neural network models, physical-based constitutive models, and phenomenological constitutive models. [9,10] Artificial neural network models can accurately capture the intricate link between flow characteristics and multiple deformation factors. Wan et al. [11] utilized the methods of back propagation neural network and particle swarm optimization to predict the flow behaviors of Zr-4 alloy during hot deformation, and the correlation coefficient between predicted and experimental flow stress is 0.9981. Li et al. [12] employed a deep neural network to characterize the flow characteristics of Ti-2Al-9.2Mo-2Fe beta titanium alloy during hot deformation. The prediction accuracy of the constitutive model is 0.9995. Murugesan et al. [13] explored the accuracy of different supervised machine learning methods in predicting flow stress and pointed out that the random forest regression model has the highest accuracy. The flow behaviors can be correctly predicted by artificial neural network models. However, as stated by Savaedi et al., [14] the successful application of artificial neural network models depends on high-quality data. Furthermore, compared to the computation efficiency of analytical models, the computation efficiency of artificial neural network models is lower. [15] Physical-based constitutive models may express the physical meanings of material during the deformation process. Buzolin et al. [16] constructed a dislocation-based constitutive model to predict the flow behaviors and microstructure evolution during the hot deformation process of Ti5553 alloy. Zeng et al. [17] built a unified constitutive model

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“…Hot compression experiments with one and two passes were conducted to study DRX and SRX behaviors, respectively. [19,[28][29][30] The cylindrical compression specimens with a height of 15 mm and diameter of 8 mm were prepared from the designed hot-rolled plate. Figure 1 shows the schematic deformation procedure.…”

Section: Materials and Fabrication Processmentioning

confidence: 99%

Recrystallization Behavior and Microstructure Evolution in High‐Manganese Austenitic Steel

Liu

Xiong

et al. 2021

steel research int.

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Natural gas has attracted increasing attention because it does not cause pollution and is low cost. Natural gas is usually transported or stored in cryogenic-temperature liquefied natural gas (LNG) applications such as pressure vessels and plumbing pipes. The essential requirements for the materials used for these applications are high strength and outstanding low-temperature toughness (Charpy impact toughness at À196 C). The traditional materials used for these applications are Ni-based invar alloys, 9Ni alloys, aluminum alloys, and austenitic steels. [1][2][3][4] Although these conventional cryogenic-temperature materials show excellent mechanical properties, they possess some disadvantages such as high cost, complex manufacturing process, and unstable service behavior. High-manganese austenitic steels have received increasing attention due to their promising potential for LNG applications. [5][6][7] High-manganese steels have high ductility, a combination of strength and toughness, low thermal expansion coefficient, and low cost. The main plastic deformation mechanisms are dislocation slip, mechanical twinning, and strain-induced phase transformation (such as twinning-induced plasticity and transformation-induced plasticity), which depends on stacking fault energy (SFE). [8][9][10][11][12] Scientific understanding of the recrystallization behavior (dynamic recrystallization [DRX] and static recrystallization [SRX]) is a prerequisite for material design and large-scale production in the industry.Recently, many studies have focused on the recrystallization behavior of microalloying high-manganese steels. [9,11,13] The study by Ezatpour et al. [9] on the effect of microalloying elements V and Nb on the DRX behavior of high-manganese steel shows that Nb-bearing steel exhibits high peak stress due to the fine initial grains and NbC precipitates. The dynamic recovery (DRV) is the main deformation mechanism during the work softening process. Gwon et al. [11] reported the hot deformation behavior of V microalloying high-manganese steel. The hot workability of high-manganese steel was decreased due to the addition of V. Finer grains in V microalloying high-manganese steel were obtained from rapid DRX kinetics. Llanos [13] proposed a model to predict the static-recrystallized grain size of high-manganese steel as a function of deformation conditions and alloy elements. The microstructure of high-manganese steel at room temperature is usually austenite. Many researchers have studied the recrystallization behavior of austenitic stainless steel. [14,15] The 304 austenitic stainless steel shows discontinuous dynamic recrystallization (DDRX) and continuous dynamic recrystallization (CDRX) for low and high strain rates, respectively. The strain rate plays an important role in flow stress and the substructure. The studies focusing on the hot deformation behavior or recrystallization behavior of low-alloy steels show that the recrystallization kinetics and model are related to specific materials.

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Hot Deformation Behavior of V–Ti Microalloy Steels

Cited by 10 publications

References 24 publications

The analysis of hot deformation behaviour of low-cost α+β Ti-6Al-0.4V-1.2Fe alloys

The analysis of hot deformation behaviour of low-cost α+β Ti-6Al-0.4V-1.2Fe alloys

Flow Stress Characteristics and Constitutive Modeling of Typical Ultrahigh‐Strength Steel under High Temperature and Large Strain

Recrystallization Behavior and Microstructure Evolution in High‐Manganese Austenitic Steel

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