Latest progress on refractory high entropy alloys: Composition, fabrication, post processing, performance, simulation and prospect

Chen, Bingqing; Zhuo, Longchao

doi:10.1016/j.ijrmhm.2022.105993

Cited by 39 publications

(8 citation statements)

References 176 publications

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“…[1,2] The four core effects produced by the combination of different major elements, namely, high mixing entropy, lattice distortion, slow diffusion, and cocktail effect, have resulted in many microstructures and properties that are different from those of traditional alloys, such as simple solid solution structure, high strength, good low-temperature plasticity, good corrosion and oxidation resistance, as well as good physical and high-temperature properties. [3][4][5][6][7][8][9][10][11] The influencing mechanism of alloying elements on the microstructure and corrosion resistance of HEAs is a hot topic. Al, Co, Cu, Mn, Fe, Cr, and Ni are the most commonly used alloying elements in HEAs, and their effects in different alloy systems and corrosion media vary.…”

Section: Introductionmentioning

confidence: 99%

Microstructure and corrosion properties of CoCrCuFeMnNi_x high‐entropy alloys prepared by powder metallurgy

Zhao

Jiang

Ren

et al. 2023

Materials & Corrosion

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CoCrCuFeMnNix (x = 0.5, 1.0, 1.5, 2.0 mol, named Ni0.5, Ni1.0, Ni1.5, and Ni2.0, respectively) high‐entropy alloys (HEAs) were prepared by powder metallurgy. The effects of Ni content on its microstructure and corrosion resistance in a 3.5% NaCl solution were studied. The HEAs with low Ni content consisted of FCC1 primary phase, FCC2 secondary phase, and a few σ phases. While the Ni2.0 alloy was composed of the FCC phase and a small amount of σ phase. The results of polarization corrosion in 3.5% NaCl solution show that the increase of Ni content led to the increase of corrosion potential of the alloy and the decrease of corrosion current density and average corrosion rate. Among them, Ni2.0 alloy had the best corrosion resistance. The electrochemical impedance spectroscopy analysis showed that the increase in Ni content promoted the increase of the polarization resistance of the alloy RCPE and the thickness of the passive film, thus improving the corrosion resistance of the alloys.

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Section: Introductionmentioning

confidence: 99%

Microstructure and corrosion properties of CoCrCuFeMnNi_x high‐entropy alloys prepared by powder metallurgy

Zhao

Jiang

Ren

et al. 2023

Materials & Corrosion

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“…[3] However, fabrication of refractory metal-based devices is challenging and costly due to their high melting temperature and poor processability. [4] State-of-the-art additive manufacturing (AM) techniques offer new possibilities for engineering refractory metals, [5] among which, powder bedbased approaches including laser powder bed fusion and electron beam powder bed fusion are most widely studied. [6,7] Despite the advantages of high accuracy and the ability to produce complex shapes, powder bed-based AM methods are not suitable for fabricating electronic devices due to the limitations of rigorous requirement for protective environments, dependence on high-quality powder beds, and poor compatibility with other circuit manufacturing processes.…”

Section: Introductionmentioning

confidence: 99%

“…[ 3 ] However, fabrication of refractory metal‐based devices is challenging and costly due to their high melting temperature and poor processability. [ 4 ]…”

Section: Introductionmentioning

confidence: 99%

Printing Three‐Dimensional Refractory Metal Patterns in Ambient Air: Toward High Temperature Sensors

Wang

et al. 2023

Advanced Science

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Refractory metals offer exceptional benefits for high temperature electronics including high‐temperature resistance, corrosion resistance and excellent mechanical strength, while their high melting temperature and poor processibility poses challenges to manufacturing. Here this work reports a direct ink writing and tar‐mediated laser sintering (DIW‐TMLS) technique to fabricate three‐dimensional (3D) refractory metal devices for high temperature applications. Metallic inks with high viscosity and enhanced light absorbance are designed by utilizing coal tar as binder. The printed patterns are sintered into oxidation‐free porous metallic structures using a low‐power (<10 W) laser in ambient environment, and 3D freestanding architectures can be rapidly fabricated by one step. Several applications are presented, including a fractal pattern‐based strain gauge, an electrically small antenna (ESA) patterned on a hemisphere, and a wireless temperature sensor that can work up to 350 °C and withstand burning flames. The DIW‐TMLS technique paves a viable route for rapid patterning of various metal materials with wide applicability, high flexibility, and 3D conformability, expanding the possibilities of harsh environment sensors.

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“…High-temperature alloys are a class of materials that maintain high strength and heat resistance in high-temperature environments. − They are commonly used in the manufacturing of critical components in aerospace engines and gas turbines, such as turbine blades, turbine discs, and combustion chamber assemblies . To enhance the performance of these alloys, the addition of refractory elements is a common practice.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Aided High-Throughput First-Principles Calculations to Predict the Formation Energy of μ Phase

Su,

Wang,

Zou

2023

ACS Omega

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The μ phase is a type of hard and brittle constituent that exists in high-temperature alloys. The formation energy is a crucial thermochemical datum, and the accurate calculation of the formation energy of the μ phase contributes to the material design of high-temperature alloys. Traditional first-principles calculations demand significant computational time and resources. In this study, an innovative machine learning (ML)-based approach to accurately predict the formation energy of the μ phase is proposed. This approach involves the utilization of six algorithms and two model evaluation methods to construct the ML models. Leveraging a comprehensive data set containing 1036 binary configurations of the μ phase, the model trained using a 10-fold cross-validation technique, and the multilayer perceptron (MLP) algorithm achieves a mean absolute error (MAE) of 23.906 meV/atom. To validate its generalization performance, the trained model is further validated on 900 ternary configurations, resulting in an MAE of 32.754 meV/atom. Compared with solely using traditional first-principles calculations, our approach significantly reduces the computational time by at least 52%. Moreover, the ML model exhibits exceptional accuracy in predicting the lattice parameters of the μ phase. The MAE values for the a and c parameters are 0.024 and 0.214 Å, respectively, corresponding to low error rates of only 0.479 and 0.578%. Additionally, the ML model was utilized to accurately predict the formation energy of all of the possible ternary configurations. To enhance accessibility to the formation energy data of the μ phase, a user-friendly graphical user interface (GUI) was developed, ensuring convenient usability for researchers and practitioners.

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Latest progress on refractory high entropy alloys: Composition, fabrication, post processing, performance, simulation and prospect

Cited by 39 publications

References 176 publications

Microstructure and corrosion properties of CoCrCuFeMnNi_x high‐entropy alloys prepared by powder metallurgy

Microstructure and corrosion properties of CoCrCuFeMnNi_x high‐entropy alloys prepared by powder metallurgy

Printing Three‐Dimensional Refractory Metal Patterns in Ambient Air: Toward High Temperature Sensors

Machine Learning-Aided High-Throughput First-Principles Calculations to Predict the Formation Energy of μ Phase

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Latest progress on refractory high entropy alloys: Composition, fabrication, post processing, performance, simulation and prospect

Cited by 39 publications

References 176 publications

Microstructure and corrosion properties of CoCrCuFeMnNix high‐entropy alloys prepared by powder metallurgy

Microstructure and corrosion properties of CoCrCuFeMnNix high‐entropy alloys prepared by powder metallurgy

Printing Three‐Dimensional Refractory Metal Patterns in Ambient Air: Toward High Temperature Sensors

Machine Learning-Aided High-Throughput First-Principles Calculations to Predict the Formation Energy of μ Phase

Contact Info

Product

Resources

About

Microstructure and corrosion properties of CoCrCuFeMnNi_x high‐entropy alloys prepared by powder metallurgy

Microstructure and corrosion properties of CoCrCuFeMnNi_x high‐entropy alloys prepared by powder metallurgy