Hot deformation behavior and strain compensation constitutive model of equiaxed fine grain diffusion-welded micro-duplex TC4 titanium alloy

Li, Can; Muhammad, Imran Sardar; Lang, Lihui; Guo, Yingjian; Li, Xiaoxing; Alexandrova, Sergei; Zhang, Dexin

doi:10.1016/j.cja.2022.07.025

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…2. The hot flow behavior of the TC4 DB joint has been detailed discussed in previous work [13]. The strain rate sensitivity (m) is a crucial parameter for the construction of hot processing map [14], which can be obtained by fitting the cubic spline relationship between stress (σ) and strain rate (ε • ).…”

Section: Resultsmentioning

confidence: 99%

“…Wu et al [12] proposed the failure model with calibrated material constants to predict the failure strain of TC4 DB joint at room temperature. Li et al [13] established the Arrhenius-type constitutive model to predict the hot deformation of TC4 DB joint with an AARE value of 10%. On the basis of aforesaid work, the hot processing maps and optimized strain compensation Arrhenius-type constitutive model of TC4 DB joint were developed and discussed in this paper.…”

Section: Introductionmentioning

confidence: 99%

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Processing Maps and Optimized Plastic Behavior Model of TC4 Titanium Alloy Diffusion Bonded Joint at α+β Region Temperatures

Li,

et al. 2024

MSF

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The hot processing maps and optimized Arrhenius constitutive model of the TC4 diffusion bonded joint were investigated based on high temperature tensile tests in the temperature range of 1024–1174 K and strain rate range of 0.0001–0.1 s–1. The optimal hot processing parameter in the tensile deformation mode was 0.0001–0.001 s–1/1124 K and 0.0001–0.1 s–1/1174 K, respectively, when the true strain was 0.2. A modified strain compensated Arrhenius-type constitutive model of the joint by combining the evolutionary algorithm and generalized reduced gradient was established. The values of correlation coefficient and average absolute relative error were 0.989 and 7.29%, respectively, indicating the good prediction capabilities.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Processing Maps and Optimized Plastic Behavior Model of TC4 Titanium Alloy Diffusion Bonded Joint at α+β Region Temperatures

Li,

et al. 2024

MSF

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“…The Arrhenius type model parameters β, n 2 , Ψ 3 and ΔQ are determined for diffusion-bonded and heat-treated alloys at the strains of 0.03, 0.04, 0.06, 0.08, 0.1, 0.3, 0.16, 0.18, and 0.2 using the tensile true stress-strain data collected at various deformation strain rates and temperatures. The parameters can be identified using nonlinear regression analysis [11]. The variation of strain can be compensated using higher-order polynomial strain functions obtained from experimental data fitting [38,39].…”

Section: Model Calibrationmentioning

confidence: 99%

“…But still, the bonding interface cannot achieve the same quality as the matrix alloys, and microvoids at the interface cannot be completely eliminated. In previous research, the authors compared the deformation behavior of TC4 alloy with and without the bonding interface at different deformation conditions and noted the significant influence of the bonding defects on the alloy's deformation behavior [11]. These material defects may lead to flow instabilities under some deformation conditions during hot/creep forming [12].…”

Section: Introductionmentioning

confidence: 99%

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An analysis of the hot forming characteristics of diffusion bonded TC4 alloy using processing maps

Muhammad

LI²,

Lang³

et al. 2022

Preprint

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Since the hot forming of TC4 alloy after diffusion bonding has extensive applications in aerospace and medical industries, it is practically significant to explore the influence of diffusion bonding on the alloy's hot formability and identify the optimal forming parameters. Therefore, dual-stage diffusion bonding of aviation grade TC4 is carried out firstly at 900 °C for 1 hr and then at 930 °C for 2 hr under 2 MPa normal pressure in 5.0 x 10-3 Pa vacuum atmosphere. Another block of the as-received alloy is subjected to the same thermal loading as the diffusion bonding process. The diffusion-bonded and heat-treated alloys are then subjected to uniaxial tensile tests at 750 – 900 °C and 0.0001 – 0.1 s-1. Based on the tensile test data, the constitutive and dynamic material models are developed to investigate diffusion bonding effects on the alloy's hot forming behavior and identify optimal forming conditions. The developed constitutive model showed good predictability. The apparent activation energy of diffusion bonded (440 – 510 kJ • mole-1) and heat-treated (400 kJ • mole-1) alloys indicated that dynamic recrystallization and recovery are the primary deformation mechanisms. The processing maps revealed that diffusion bonding expanded the instability domain and lowered the dissipation efficiency, limiting the safe working conditions of the alloy. The analysis of deformed microstructure validated the findings of processing maps. The optimal processing conditions of 800 °C/ 0.0001 s-1 and 850 °C/ 0.0001 s-1 are discovered for diffusion-bonded and heat-treated alloys, respectively.

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An analysis of the hot forming characteristics of diffusion-bonded TC4 alloy using processing maps

Imran

Lang

et al. 2023

Int J Adv Manuf Technol

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Hot deformation behavior and strain compensation constitutive model of equiaxed fine grain diffusion-welded micro-duplex TC4 titanium alloy

Cited by 7 publications

References 37 publications

Processing Maps and Optimized Plastic Behavior Model of TC4 Titanium Alloy Diffusion Bonded Joint at α+β Region Temperatures

Processing Maps and Optimized Plastic Behavior Model of TC4 Titanium Alloy Diffusion Bonded Joint at α+β Region Temperatures

An analysis of the hot forming characteristics of diffusion bonded TC4 alloy using processing maps

An analysis of the hot forming characteristics of diffusion-bonded TC4 alloy using processing maps

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