Recent advances in tribology of high entropy alloys: A critical review

Progress in Materials Science, Journal Year: 2023, Volume and Issue: 136, P. 101106 - 101106

Published: March 3, 2023

Language: Английский

---

Advances and opportunities in high-throughput small-scale mechanical testing

Current Opinion in Solid State and Materials Science, Journal Year: 2023, Volume and Issue: 27(4), P. 101090 - 101090

Published: June 30, 2023

The quest for novel materials used in technologies demanding extreme performance has been accelerated by advances computational screening, additive manufacturing routes, and characterization probes. Despite tremendous progress, the pace of adoption new still not met promise global initiatives discovery. This challenge is particularly acute structural with thermomechanical environmental demands whose depends on microstructure as well material composition. In this prospective article, we review high-throughput mechanical testing, associated specimen fabrication, characterization, modeling tasks that show acceleration development cycle. We identify a critical need to develop rapid testing strategies faithfully reproduce design-relevant properties circumvent time expense conventional high fidelity testing. small-scale workflows can incorporate real-time decision making based feedback from multimodal modeling. These will require site-specific fabrication procedures are agnostic synthesis route have ability modulate defect characteristics. close our conceptualizing fully integrated platform addresses speed-fidelity tradeoff pursuit suite materials.

Language: Английский

---

High entropy alloys amenable for laser powder bed fusion: A thermodynamics guided machine learning search

Additive manufacturing, Journal Year: 2024, Volume and Issue: 86, P. 104195 - 104195

Published: April 1, 2024

Language: Английский

---

Improving the mechanical properties of Cantor-like alloys with Bayesian optimization

APL Machine Learning, Journal Year: 2024, Volume and Issue: 2(1)

Published: March 1, 2024

The search for better compositions in high entropy alloys is a formidable challenge materials science. Here, we demonstrate systematic Bayesian optimization method to enhance the mechanical properties of paradigmatic five-element Cantor alloy silico. This utilizes an automated loop with online database, algorithm, thermodynamic modeling, and molecular dynamics simulations. Starting from equiatomic composition, our approach optimizes relative fractions its constituent elements, searching while maintaining phase stability. With 24 steps, find Fe21Cr20Mn5Co20Ni34 yield stress improvement 58%, 72 Fe6Cr22Mn5Co32Ni35 where has improved by 74%. These optimized correspond Ni-rich medium enhanced superior face-centered-cubic stability compared traditional alloy. automatic devised here paves way designing tailored properties, opening avenues numerous potential applications.

Language: Английский

---

Considering sustainability when searching for new high entropy alloys

Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: 40, P. e00938 - e00938

Published: April 18, 2024

Alloying elements bring with them a level of undesirable societal impact. The present paper examines this impact, in terms primary production, for 340 newly proposed high entropy compositions. Three areas sustainability are considered: economic viability, environmental impact and human well-being. alloys considered two classes: body centred cubic related potential temperature application face Cantor-type alloys. former compared to Ni-based superalloys the latter advanced steels. It is seen that improved performance there has been increase across many indicators we employ. However, some recently – especially Yeh-type High Entropy Superalloys - display notably lower levels than superalloy alloys, however, do not compare so favourably when stacked up against best steels, room strength ductility. We show that, general, good scope be designed target

Language: Английский

---

Electronic effects on the radiation damage in high-entropy alloys

Acta Materialia, Journal Year: 2022, Volume and Issue: 244, P. 118511 - 118511

Published: Nov. 17, 2022

Language: Английский

---

The Recent Progress of High-Entropy Layered Double Hydroxides and High-Entropy Amorphous Materials for Water Electrocatalysis

DeCarbon, Journal Year: 2025, Volume and Issue: unknown, P. 100110 - 100110

Published: April 1, 2025

Language: Английский

---

Characteristic Properties and Applications of Ceramics Particulates-Reinforced High Entropy Alloys for Structural Application

Transactions of the Indian Institute of Metals, Journal Year: 2025, Volume and Issue: 78(4)

Published: Feb. 26, 2025

Language: Английский

---

Influence of Cr on the quaternary FeTaTiW medium entropy alloy

Deleted Journal, Journal Year: 2025, Volume and Issue: 20(1)

Published: April 9, 2025

Abstract The search for advanced materials has been growing, and high entropy alloys (HEAs) are emerging as promising candidates application in the fusion domain. This work investigates effect of Cr on FeTaTiW medium alloy to form (CrFeTaTi) 70 W 30 alloy, comparing experimental production characterization with simulation (molecular dynamics hybrid molecular dynamics-Monte Carlo) phases formed. were produced by mechanical alloying sintered spark plasma sintering. Both simulations have shown that a body-centered cubic structure is formed both compositions. Monte Carlo provides more precise prediction microstructural formation element segregation. Microstructural examination consolidated material revealed presence W-rich phase Ti–rich phase, consistent separation observed MC simulations. Moreover, X-ray diffraction analysis milled powder confirmed bcc (body-centered cubic)-type low fraction intermetallic phases. Mechanical testing showed ductile behavior at 1000 °C where stress magnitude almost double FeTaTiW. Additionally, thermal diffusivity between 20 increases temperature rises. exhibits an increase from 3 5 mm 2 /s, while 4 9 /s. Still, system’s values lower than those CuCrZr pure tungsten. Despite this, study underscores attributes HEAs highlights areas further optimization enhance its suitability extreme conditions.

Language: Английский

---

Estimating the lattice thermal conductivity of AlCoCrNiFe high-entropy alloy using machine learning

Journal of Applied Physics, Journal Year: 2024, Volume and Issue: 135(13)

Published: April 3, 2024

The lattice thermal conductivity stands as a pivotal thermos-physical parameter of high-entropy alloys; nonetheless, achieving precise predictions the for alloys poses formidable challenge due to their complex composition and structure. In this study, machine learning models were built predict AlCoCrNiFe alloy based on molecular dynamic simulations. Our model shows high accuracy with R2, mean absolute percentage error, root square error test set is 0.91, 0.031, 1.128 W m−1 k−1, respectively. addition, low 2.06 k−1 (Al8Cr30Co19Ni20Fe23) 5.29 (Al0.5Cr28.5Co25Ni25.5Fe20.5) was successfully predicted, which good agreement results from dynamics mechanisms divergence are further explained through phonon density states elastic modulus. established provides powerful tool developing desired properties.

Language: Английский

---