An overview of microstructure, mechanical properties and processing of high entropy alloys and its future perspectives in aeroengine applications

Sonar, Tushar; Ivanov, Mikhail; Trofimov, Evgeny; Tingaev, A.K.; Suleymanova, Ilsiya

doi:10.1016/j.mset.2023.07.004

Cited by 6 publications

(3 citation statements)

References 125 publications

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“…Additionally, powder metallurgy offers unique opportunities for phase manipulation through selective sintering conditions. Post-processing techniques, including mechanical working and surface treatments, further refine these properties by inducing phase transformations and microstructural changes that enhance performance under specific operational conditions [7,14,59].…”

Section: Formation and Stability Of High-entropy Alloy Structuresmentioning

confidence: 99%

A Modern Approach to HEAs: From Structure to Properties and Potential Applications

Nartita,

Ionita,

Demetrescu

2024

Crystals

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High-entropy alloys (HEAs) are advanced materials characterized by their unique and complex compositions. Characterized by a mixture of five or more elements in roughly equal atomic ratios, these alloys diverge from traditional alloy formulations that typically focus on one or two principal elements. This innovation has paved the way for subsequent studies that have expanded our understanding of HEAs, highlighting the role of high mixing entropy in stabilizing fewer phases than expected by traditional phase prediction methods like Gibbs’s rule. In this review article, we trace the evolution of HEAs, discussing their synthesis, stability, and the influence of crystallographic structures on their properties. Additionally, we highlight the strength–ductility trade-off in HEAs and explore strategies to overcome this challenge. Moreover, we examine the diverse applications of HEAs in extreme conditions and their promise for future advancements in materials science.

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Section: Formation and Stability Of High-entropy Alloy Structuresmentioning

confidence: 99%

A Modern Approach to HEAs: From Structure to Properties and Potential Applications

Nartita,

Ionita,

Demetrescu

2024

Crystals

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“…The advantages of the singlephase solid solution of multicomponent HEAs and its extraordinary structure, HEAs are considered to safeguard turbine blades, engine parts, cutting tools, and various other components. Wear and friction are the usual occurrences of component breakdowns, and the augmenting wear resistance can enhance the lifespan of the parts [3][4][5]. The surface properties of metal components are significantly affected by wear and friction which cause gradual removal or deformation of material, leading to material loss and increasing maintenance costs [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Predictive analytics of wear performance in high entropy alloy coatings through machine learning

Sivaraman,

Radhika

2024

Phys. Scr.

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High-entropy alloys (HEAs) are increasingly renowned for their distinct microstructural compositions and exceptional properties. These HEAs are employed for surface modification as coatings exhibit phenomenal mechanical characteristics including wear and corrosion resistance which are extensively utilized in various industrial applications. However, assessing the wear behaviour of the HEA coatings through conventional methods remains challenging and time-consuming due to the complexity of the HEA structures. In this study, a novel methodology has been proposed for predicting the wear behaviour of HEA coatings using Machine Learning (ML) algorithms such as Support Vector Machine (SVM), Linear Regression (LR), Gaussian Process Regression (GPR), Least Absolute Shrinkage and Selection Operator (LASSO), Bagging Regression (BR), Gradient Boosting Regression Tree (GBRT), and Robust regressions (RR). The analysis integrates of 75 combinations of HEA coatings with processing parameters and wear test results from peer-reviewed journals for model training and validation. Among the ML models utilized, the GBRT model was found to be more effective in predicting wear rate and Coefficient of Friction (COF) with the highest correlation coefficient of R2 value of 0.95 ∼ 0.97 with minimal errors. The optimum model is used to predict the unknown wear properties of HEA coatings from the conducted experiments and validate the results, making ML a crucial resource for engineers in the materials sector.

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“…The term HEA was first introduced in 2004 by Yeh and his research group (Chen et al, 2004;. Unlike conventional alloys, HEAs are formed with elements used in equal or close proportions (Sonar et al, 2024). Four main factors make high entropy alloys important: the high entropy effect (Dewangan et al, 2022), slow diffusion effect (Verma et al, 2024), lattice distortion (Wang et al, 2024), and cocktail effect (Wang et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Tribological and Electrochemical Properties of Multiphase CoCuFeNiNb High Entropy Alloy

Sünbül,

İcin

2024

Ordu Üniversitesi Bilim Ve Teknoloji Dergisi

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Recent research has heavily focused on high entropy alloys (HEAs) due to their promising potential for diverse industrial applications. This study investigates the CoCuFeNiNb alloy, analyzing its structural, tribological, and electrochemical characteristics. The alloy was synthesized using vacuum arc melting in an argon environment and was subsequently examined through X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), wear testing, and corrosion analysis. The tribological and electrochemical performances were assessed through wear and corrosion experiments. The results reveal that the alloy contains FCC, BCC, and Laves phases. The coefficient of friction for the CoCuFeNiNb high entropy alloy increased to 0.28, 0.5, and 0.78 under loads of 0.25 MPa, 0.5 MPa, and 1 MPa, respectively. Observations of the wear surface showed abrasion wear at low pressure, delamination layers at medium pressure, and plastic deformation zones at high pressure. In a 3.5 wt% NaCl solution, the alloy exhibited a corrosion potential of -0.236 V and a corrosion current density of 1.89×10⁻⁵ A/cm².

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An overview of microstructure, mechanical properties and processing of high entropy alloys and its future perspectives in aeroengine applications

Cited by 6 publications

References 125 publications

A Modern Approach to HEAs: From Structure to Properties and Potential Applications

A Modern Approach to HEAs: From Structure to Properties and Potential Applications

Predictive analytics of wear performance in high entropy alloy coatings through machine learning

Evaluation of Tribological and Electrochemical Properties of Multiphase CoCuFeNiNb High Entropy Alloy

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