Fatigue database of complex metallic alloys

Z Zhang, H Tang, Z Xu - Scientific Data, 2023 - nature.com
The past few decades have witnessed rapid progresses in the research and development of
complex metallic alloys such as metallic glasses and multi-principal element alloys, which …

Deformation Behavior of 3D‐Printed High‐Entropy Alloys: A Critical Review

D Bajaj, A Feng, S Qu, Z Chen, D Li… - Advanced Engineering …, 2024 - Wiley Online Library
The 3D‐printing of high‐entropy alloys (HEAs) is capable of enhancing the design and
manufacturing flexibilities for novel materials. Owing to the rapid solidification, the 3D …

Fatigue database of additively manufactured alloys

Z Zhang, Z Xu - Scientific Data, 2023 - nature.com
Fatigue is a process of mechanical degradation that is usually assessed based on empirical
rules and experimental data obtained from standardized tests. Fatigue data of engineering …

The need for standardizing fatigue data reporting

Z Xu, Z Zhang - Nature Materials, 2024 - nature.com
Fatigue is one of the most important mechanical properties of materials, characterizing a
mechanical process of material degradation under cyclic loading. Fatigue performance …

Fatigue behavior and mechanisms of high-entropy alloys

R Feng, K An, PK Liaw - High Entropy Alloys & Materials, 2023 - Springer
Fatigue failures of structural materials pose enormous risks to in-service structures, as well
as human lives. The development of advanced durable structural materials with fatigue …

Effect of grain size on fatigue limit in CrMnFeCoNi high-entropy alloy fabricated by spark plasma sintering under four-point bending

K Fujita, K Nakazawa, H Fujiwara, S Kikuchi - Materials Science and …, 2022 - Elsevier
In order to investigate the effect of grain size on the fatigue limit of single-phase equiatomic
high-entropy alloys (HEAs); CrMnFeCoNi, fabricated by spark plasma sintering, four-point …

A deep learning dataset for metal multiaxial fatigue life prediction

S Chen, Y Bai, X Zhou, A Yang - Scientific Data, 2024 - nature.com
Multiaxial fatigue failure of metals, a common issue in industrial production, often leads to
significant losses. Recently, many researchers have applied deep learning methods to …

Dataset for fracture and impact toughness of high-entropy alloys

X Fan, S Chen, B Steingrimsson, Q **ong, W Li… - Scientific Data, 2023 - nature.com
Fracture dictates the service limits of metallic structures. Damage tolerance of materials may
be characterized by fracture toughness rigorously developed from fracture mechanics, or …

Supervised machine learning for multi-principal element alloy structural design

J Berry, KA Christofidou - Materials Science and Technology, 2024 - journals.sagepub.com
The application of supervised Machine Learning (ML) in material science, especially
towards the design of structural Multi-Principal Element Alloys (MPEAs) has rapidly …

Thermodynamic stability analysis of AlxCrMn5MoTi high-entropy alloys for high-temperature applications: A CALPHAD-assisted approach

F Ben, TA Phahlane, AM Ukpong… - MATEC Web of …, 2024 - matec-conferences.org
In lightweight high-entropy alloy development, a titanium-aluminium (TiAl) base matrix is
favored for its low density, high strength-to-weight ratio, and excellent corrosion resistance …