Corrigendum for Li D, Lin Y, Huang Y, et al (2018) https://doi.org/10.1002/pd.5329

Li, Duan; Lin, Yunting; Huang, Yanjuan; Zhang, Wen; Jiang, Mao Fa; Li, Xiuzhen; Zhao, Xiaoyuan; Sheng, Huiying; Yin, Xia; Su, Xueying; Shao, Youxiang; Liu, Zongcai; Li, Dong-Zhi; Li, Fatao; Liao, Can; Liu, Li

doi:10.1002/pd.5387

Cited by 209 publications

(314 citation statements)

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“…Usually, for the Ti-6Al-4V alloy with lamellar microstructures, the primary deformation mechanism is dynamic globularization of lamellar α phase. [37,55,57] The high T and lowε can provide sufficient driving force and time for accumulating energy, as well as the globularization of α phases. In addition, the higher T can promote the opening of more slip systems.…”

Section: Correction Of Flow Curvesmentioning

confidence: 99%

“…In addition, the macroscopic flow behavior of alloys can effectively reflect the microscopic deformation mechanisms. [36,37] 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. [38][39][40] Lin et al [41] 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%

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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: Correction Of Flow Curvesmentioning

confidence: 99%

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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“…Titanium alloys are commonly used in aeronautics, astronautics, healthcare, and chemical and energy industries due to their excellent strength-to-weight ratio. [1][2][3] Titanium alloy components have particular requirements on microstructures and mechanical properties. [4][5][6] Hot deformation is the ideal method to boost the limited load-bearing capacity of high-strength titanium alloys by refining grains.…”

Section: Introductionmentioning

confidence: 99%

“…These constitutive equations are generally classified into three types, [16] namely, phenomenological constitutive models, [17][18][19] artificial neural network (ANN) equations, [20][21][22] and physical based constitutive equations. [23][24][25] Due to their high prediction accuracy, phenomenological constitutive equations are commonly used to describe the hot compressive or tensile deformation behavior of high-strength steels, [26][27][28] superalloys, [29][30][31] titanium alloys, [1,32] and some other alloys. [33][34][35] ANN-based equations are thought to be more accurate and are accepted by many researchers.…”

Section: Introductionmentioning

confidence: 99%

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Constitutive Model and Processing Maps for a Ti‐55511 Alloy in β Region

et al. 2019

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The flow behavior of a high‐strength Ti alloy (Ti‐55511) in the β region is studied by hot compressive experiments. A dislocation density–based constitutive equation, together with processing maps, is established to describe the flow behavior and hot workability of the studied Ti alloy. It is found that the strain rate (εfalse˙) and temperature (T) distinctly influence the hot compressive deformation behavior. The flow stress increases distinctly with a rising εfalse˙ or reducing T. The main softening mechanism in the β region is dynamic recovery (DRV). The established constitutive equation based on the work hardening (WH) and DRV mechanisms has the desired prediction accuracy, and the correlation coefficient between the predicted and experimental results is 0.9912. The processing maps indicate that a high strain rate (0.4–10 s−1) easily causes unstable deformation, whereas low and medium strain rates (0.001–0.2 s−1) are suitable for hot compressive deformation of the studied alloy.

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Electrical Conductivity Gradient Based on Heterofibrous Scaffolds for Stable Lithium‐Metal Batteries

Hong

Jung

Kim

et al. 2020

Adv Funct Materials

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The inability to guide the nucleation locations of electrochemically deposited Li has long been considered the main factor limiting the utilization of high‐energy‐density Li‐metal batteries. In this study, an electrical conductivity gradient interfacial host comprising 1D high conductivity copper nanowires and nanocellulose insulating layers is used in stable Li‐metal anodes. The conductivity gradient system guides the nucleation sites of Li‐metal to be directed during electrochemical plating. Additionally, the controlled parameter of the intermediate layer affects the highly stable Li‐metal plating. The electrochemical behavior is confirmed through experiments associated with the COMSOL Multiphysics simulation data. The distributed Li‐ion reaction flux resulting from the controlled electrical conductivity enables stable cycling for more than 250 cycles at 1 mA cm−2. The gradient system effectively suppresses dendrite growth even at a high current density of 5 mA cm−2 and ensures Li plating and stripping with ultra‐long‐term stability. To demonstrate the high‐energy‐density full‐cell application of the developed anode, it is paired with the LiNi0.8Co0.1Mn0.1O2 cathode. The cells demonstrate a high capacity retention of 90% with an extremely high Coulombic efficiency of 99.8% over 100 cycles. These results shed light on the formidable challenges involved in exploiting the engineering aspects of high‐energy‐density Li‐metal batteries.

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Corrigendum for Li D, Lin Y, Huang Y, et al (2018) https://doi.org/10.1002/pd.5329

Cited by 209 publications

References 0 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

Constitutive Model and Processing Maps for a Ti‐55511 Alloy in β Region

Electrical Conductivity Gradient Based on Heterofibrous Scaffolds for Stable Lithium‐Metal Batteries

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