Microstructure and mechanical properties of Alx(TiZrTa0.7NbMo) refractory high-entropy alloys

Guo, Zhifang; Shen, Xiangyang; Luo, Feng; Guan, Jinyuan; Zhang, Yue; Dong, Fuyu; Wang, Yinxiao; Yuan, Xiaoguang; Wang, Binbin; Luo, Liangshun; Su, Yanqing; Cheng, Jun

doi:10.1016/j.jallcom.2023.170739

Cited by 21 publications

(4 citation statements)

References 56 publications

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“…The modulus in the standard hysteresis solid model is a complex function, with its real part being defined as the function that depends on frequency and temperature, [31] 𝑀 𝑟𝑒𝑎𝑙 = 𝑀 𝑈 − 𝛿𝑀 1 1 + 𝜔 2 𝜏 2 (7) Where 𝑀 𝑈 is the instant modular or the elastic modular, 𝛿𝑀 is defined as a constant for the loss of the modular and 𝜏 satisfied the Arrhenius law, 𝜏 = 𝜏 0 exp ( 𝐸 𝑘𝑇 )…”

Section: -4 Mfydldstynscdssnfgmentioning

confidence: 99%

“…[5] Furthermore, the BCC HEA is considered a promising option for aero engines, nuclear reactors, and gas turbines in the future, due to the high melting points employed metals and hysteretic diffusion. [6][7][8][9] The main challenge that limits the application of metallic materials at high temperatures is creep. The creep break is always sudden, and it can be incredibly deadly for hightemperature components, making it even worse.…”

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confidence: 99%

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The Studying of high-temperature deformation mechanism in a new light-weight high-strength HEAs from the view of internal fricition

wang,

Chen,

et al. 2024

Preprint

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The BCC high entropy alloy (HEA) has always been considered a promising material for high temperatures, and a novel BCC HEA was developed in this study. The precipitation of a second HCP phase in the grain during the warming process is responsible for the alloy's characteristic high temperature strength. The dynamic modulus of the alloy increased continuously above 550°C, while its internal friction peak exhibited the typical signature of a grain boundary peak. Annealing at 800°C for 3 hours has the potential to slightly enhance ductility and reduce room temperature compression strength to a limited extent. It is believed that the initial decrease and subsequent increase in dynamic modulus can be attributed to the combination of second phase precipitation and thermal relaxation. The TEM and fracture SEM analysis of heat-treated specimens revealed that the modification of high temperature hardening and ductility was attributed to the second phase, which impedes the dislocation's movement.

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Section: -4 Mfydldstynscdssnfgmentioning

confidence: 99%

mentioning

confidence: 99%

The Studying of high-temperature deformation mechanism in a new light-weight high-strength HEAs from the view of internal fricition

wang,

Chen,

et al. 2024

Preprint

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“…These features collectively contribute to their excellent mechanical properties. − Furthermore, the chemical inhomogeneity in HEAs can elicit unique mechanical responses, such as superelongation and a delayed inverse Hall-Petch effect . Refractory high entropy alloys (RHEAs) are a kind of alloy that can maintain excellent mechanical properties at high temperatures. − Taking the NbMoTaW and NbMoTaWV RHEAs produced by Senkov et al via vacuum arc melting as an example, they are composed of refractory metal elements (i.e., Nb, Mo, Ta, W, and V) with equal atomic concentration, which belong to the VB and VIB groups in the periodic table, with similar atomic size and high melting points. It has been found that they can maintain outstanding mechanical, chemical, and physical properties over a wide range of temperatures, such as high yield strength, , high-temperature oxidation resistance, corrosion resistance, and radiation resistance, etc.…”

Section: Introductionmentioning

confidence: 99%

Tension–Compression Asymmetry of BCC NbMoTaW in High Entropy Alloy Nanowires

Pan,

Fu,

Duan

et al. 2024

ACS Appl. Nano Mater.

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In recent years, considerable research efforts have been directed toward addressing the room-temperature brittleness of BCC NbMoTaW refractory high entropy alloys (RHEAs). However, there has been limited investigation of the plastic deformation mechanism at room temperature. In this work, we utilized molecular dynamics simulation to investigate the mechanical behavior and atomistic plastic deformation mechanism of BCC NbMoTaW RHEA nanowires under uniaxial compression/tension. It showed that, under tension, the primary deformation mechanism of the nanowires involves the nucleation and growth of twins from the surface, while under compression, the deformation is predominantly attributed to dislocation slip and twinning, with the twins formed by the dissociation of screw dislocations, differing from the twin nucleation and growth under tension. Furthermore, the tension−compression asymmetry of the nanowires was discussed in detail, considering the atomic arrangement and energy barrier. This work contributes to a deeper understanding of the relationship between the deformation mechanism and mechanical response of NbMoTaW RHEAs, which is significant for their rational design and aerospace applications.

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“…The application of titanium-containing alloys, such as titanium alloy, titanium-niobium alloy, and high entropy alloy, has been extensively observed in the fields of aerospace, navigation, and medicine (Cheng et al, 2021;Cheng et al, 2022;Guo et al, 2023;Liu et al, 2023;Kang et al, 2024;Shen et al, 2024). Among these alloys, titanium alloy stands out due to its exceptional specific strength, corrosion resistance, low-temperature tolerance, 10.3389/fmats.2024.1364572 high-temperature endurance, and remarkable biocompatibility.…”

Section: Introductionmentioning

confidence: 99%

A framework for computer-aided high performance titanium alloy design based on machine learning

An,

Li,

Zhu

et al. 2024

Front. Mater.

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Titanium alloy exhibits exceptional performance and a wide range of applications, with the high performance serving as the foundation for the development. However, traditional material design methods encounter numerous calculations and experimental trial-and-error processes, leading to increased costs and decreased efficiency in material design. The data-driven model presents an intriguing alternative to traditional material design methods by offering a novel approach to expedite the materials design process. In this study, a framework for computer-aided design high performance titanium alloys based on machine learning is proposed, which constructs an intelligent search space encompassing various combinations of 18 elements to facilitate alloy design. Firstly, a proprietary dataset was constructed for titanium alloy materials using feature design and a combination of unsupervised and supervised feature engineering methods. Secondly, six machine learning algorithms were employed to establish regression models, and the hyperparameters of each algorithm were optimized to improve model performance. Thirdly, the model was screened using five regression algorithm evaluation methods. The results demonstrated that the selected optimized model achieved an R2 value of 0.95 on the verification set and 0.93 on the test set, yielding satisfactory outcomes. Finally, a comprehensive model framework along with an intelligent search methodology for designing high-strength titanium alloys has been established. It is believed that this method is also applicable to other properties of titanium alloys and the optimization of other materials.

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Microstructure and mechanical properties of Alx(TiZrTa0.7NbMo) refractory high-entropy alloys

Cited by 21 publications

References 56 publications

The Studying of high-temperature deformation mechanism in a new light-weight high-strength HEAs from the view of internal fricition

The Studying of high-temperature deformation mechanism in a new light-weight high-strength HEAs from the view of internal fricition

Tension–Compression Asymmetry of BCC NbMoTaW in High Entropy Alloy Nanowires

A framework for computer-aided high performance titanium alloy design based on machine learning

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