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Review on forming process of magnesium alloy characteristic forgings
Y Jiang, Q Le, Y Zhu, Q Liao, T Wang, L Bao… - Journal of Alloys and …, 2024 - Elsevier
High demands are placed on the microstructure and performance of magnesium (Mg) alloy
characteristic forgings since they are utilized as significant lightweight structural components …
characteristic forgings since they are utilized as significant lightweight structural components …
[HTML][HTML] Hot deformation and recrystallization behavior of a new nickel-base superalloy for ultra-supercritical applications
Y Song, Y Li, H Li, G Zhao, Z Cai, M Sun - Journal of Materials Research …, 2022 - Elsevier
The hot deformation behavior of nickel-base superalloy at different temperatures (950–
1150° C) and strain rates (0.01–10 s− 1) was investigated by using Gleeble-3800 thermal …
1150° C) and strain rates (0.01–10 s− 1) was investigated by using Gleeble-3800 thermal …
[HTML][HTML] A comparative study on modified and optimized Zerilli-Armstrong and arrhenius-type constitutive models to predict the hot deformation behavior in …
F Li, C Zhu, S Li, H Jiang, P Zhang, R Yang… - Journal of Materials …, 2022 - Elsevier
To better understand the elevated temperature flow behaviors of 30Si2MnCrMoVE low-alloy
ultra-high strength steel, hot compressive deformation tests were performed at a wide range …
ultra-high strength steel, hot compressive deformation tests were performed at a wide range …
[HTML][HTML] Effect of dynamic recrystallization, LPSO phase, and grain boundary segregation on heterogeneous bimodal microstructure in Mg-9.8 Gd-3.5 Y-2.0 Zn-0.4 Zr …
M Li, X Wang, Z **ao, Y Liu, Y Huang - Journal of Materials Research and …, 2023 - Elsevier
The formation conditions and influence mechanisms of the heterogeneous bimodal
microstructure of Mg-9.8 Gd-3.5 Y-2.0 Zn-0.4 Zr alloy were systematically studied by thermal …
microstructure of Mg-9.8 Gd-3.5 Y-2.0 Zn-0.4 Zr alloy were systematically studied by thermal …
[HTML][HTML] Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model
Hot deformation is a commonly employed processing technique to enhance the ductility and
workability of Mg alloy. However, the hot deformation of Mg alloy is highly sensitive to factors …
workability of Mg alloy. However, the hot deformation of Mg alloy is highly sensitive to factors …
[HTML][HTML] A review on kinetic models of dynamic recrystallization for magnesium alloys
T Wang, X Liu, M Wang, Y Jiang, C Zhou… - Journal of Materials …, 2024 - Elsevier
Mg alloys are the lightest metallic structural material with tremendous application value.
Dynamic recrystallization (DRX) is the most important grain refining and texture weakening …
Dynamic recrystallization (DRX) is the most important grain refining and texture weakening …
[HTML][HTML] High temperature performance of additively manufactured Al 2024 alloy: Constitutive modelling, dynamic recrystallization evolution and kinetics
The current study investigates the high-temperature deformation behaviour, and
microstructural evolution of the laser powder bed fused, Ti modified Al 2024 alloy. The high …
microstructural evolution of the laser powder bed fused, Ti modified Al 2024 alloy. The high …
Study on the hot deformation behavior of a novel multi-element synergistic strengthening Mg-Al-Ca-Mn-Zn-Sn alloy
The hot deformation behavior of homogenized Mg-1.4 Sn-0.93 Zn-0.83 Ca-0.67 Mn-0.39 Al
alloy (designated AXMZT-5) was studied with the Gleeble-1500D simulator at the …
alloy (designated AXMZT-5) was studied with the Gleeble-1500D simulator at the …
[HTML][HTML] BPANN modified constitutive descriptions for flow behavior and softening mechanism in the α+ β phase region of Ti-55511 alloy with equiaxed microstructure
S Shi, J Ge, X Zhang, Q Liu, R Li - Journal of Materials Research and …, 2024 - Elsevier
The deformation behavior of Ti-55511 alloy was investigated by hot compression tests
conducted at deformation temperatures of 993∼ 1113 K and strain rates of 0.001–1 s− 1. To …
conducted at deformation temperatures of 993∼ 1113 K and strain rates of 0.001–1 s− 1. To …
Physical metallurgy guided machine learning to predict hot deformation mechanism of stainless steel
H Li, X Wang, Y Song, Y Li, X Li, Y Ji - Materials Today Communications, 2023 - Elsevier
This study proposes a novel approach to address the limitations of traditional experimental
and mathematical statistical methods in predicting the deformation mechanism of materials …
and mathematical statistical methods in predicting the deformation mechanism of materials …