[HTML][HTML] Making sustainable aluminum by recycling scrap: The science of “dirty” alloys

D Raabe, D Ponge, PJ Uggowitzer, M Roscher… - Progress in materials …, 2022 - Elsevier
There are several facets of aluminum when it comes to sustainability. While it helps to save
fuel due to its low density, producing it from ores is very energy-intensive. Recycling it shifts …

Precipitation kinetics in metallic alloys: Experiments and modeling

A Deschamps, CR Hutchinson - Acta Materialia, 2021 - Elsevier
Nanoscale precipitation is one of the most widely used microstructural tools to manipulate
the properties of metallic alloys, and especially to reach high strength. Optimal …

[HTML][HTML] Magnesium research and applications: Past, present and future

J Zhang, J Miao, N Balasubramani, DH Cho… - Journal of Magnesium …, 2023 - Elsevier
As the lightest structural metal and one of the most abundant metallic elements on earth,
magnesium (Mg) has been used as an “industrial metal” for lightweighting in the …

Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning

W Yi, G Liu, Z Lu, J Gao, L Zhang - Journal of Materials Science & …, 2022 - Elsevier
A356 alloys are widely used in industries due to their excellent comprehensive performance.
Sr is usually added in A356 alloys to improve their mechanical properties. There have been …

Review of the design of titanium alloys with low elastic modulus as implant materials

S Liang - Advanced Engineering Materials, 2020 - Wiley Online Library
Herein, an extensive review of the design of titanium alloys with low elastic modulus as
implant materials is provided. Due to the high specific strength, low elastic modulus, fatigue …

Microstructure-dependent thermal conductivity and mechanical properties in cast Mg-4Sm-xAl alloys

Z Li, B Hu, D Li, W Zhang, X Zeng, Z Lin, C Jin… - Materials Science and …, 2022 - Elsevier
The thermal conductivity of Mg-Sm binary alloys is relatively poor due to the severe lattice
distortion introduced by the high solid solubility Sm atom in the Mg matrix, which restricts …

[HTML][HTML] A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computation aiming at …

J Gao, J Zhong, G Liu, S Yang, B Song, L Zhang… - Advanced Powder …, 2022 - Elsevier
High-throughput calculations/simulations are the prerequisite for the efficient design of high-
performance materials. In this paper, a machine learning accelerated distributed task …

[PDF][PDF] Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques

W Yi, G Liu, J Gao, L Zhang - Journal of Materials Informatics, 2021 - academia.edu
Casting aluminum alloys are commonly used in industries due to their excellent
comprehensive performance. Alloying/microalloying and post-solidification heat treatments …

A new magnesium sheet alloy and its multi-stage homogenization for simultaneously improved ductility and strength at room temperature

R Shi, J Miao, AA Luo - Scripta Materialia, 2019 - Elsevier
Abstract A new Mg-2Zn-0.3 Ca-0.2 Ce-0.1 Mn 1 (ZXEM2000) alloy and a multi-stage
homogenization process have been designed and developed based on CALculation of …

Simulation of metal forming–Visualization of invisible phenomena in the digital era

J Yanagimoto, D Banabic, M Banu, L Madej - CIRP Annals, 2022 - Elsevier
The simulation of manufacturing processes has significant importance. The research and
development of metal forming simulation started in the 1960s from the elastoplastic analysis …