The effects of deformation parameters on the second phases and softening behavior of Al–Zn–Mg–Cu alloys

This study investigates the effects of deformation parameters on the second phase and softening behavior of Al–Zn–Mg–Cu alloy. The results are as follows: Firstly, the area fraction of the intermetallic phase fluctuates between 0.704 ± 0.092% and 1.886 ± 0.231% with varying deformation parameters. Secondly, in the temperature range of 270 °C to 430 °C, the area fraction of the η[Mg(Zn, Al, Cu) 2 ] phase first increases and then decreases with rising deformation temperature, and gradually increases with decreasing strain rate. The highest area fraction is 12.613 ± 0.340% at 350 °C/0.001 s −1 , and the lowest is 0.366 ± 0.068% at 470 °C/0.001 s −1 . Additionally, the coarsening and dissolution of the η[Mg(Zn, Al, Cu) 2 ] phase accelerate the dynamic recovery softening of the alloy. The sample at 350 °C/0.001 s −1 shows a low-angle grain boundary (LAGBs) percentage of 97.83% and a minimum average dislocation density of 8.493 × 10 2 μm 2 . Furthermore, at 470 °C/0.001 s −1 , the Al 7 Cu 2 Fe phase has a weaker effect on stimulating nucleation and recrystallization, while the most significant promotion occurs at 430 °C/0.001 s −1 . In the range of 270 °C to 350 °C and 0.1 s −1 to 0.5 s −1 , the Al 7 Cu 2 Fe phase mainly stimulates the formation of sub-grains. These findings offer valuable insights for refining the grain size of alloys by regulating the content of the second phase during hot deformation.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2024-09-27
DOI
https://doi.org/10.1016/j.jmrt.2024.09.229
Citations
12
Primary Topic
Aluminum Alloy Microstructure Properties
Type
article
Field-Weighted Citation Impact
15.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effects of deformation parameters on the second phases and softening behavior of Al–Zn–Mg–Cu alloys

Rensong Huang, Yonghua Duan, Peng Sun, Mengnie Victor Li et al.
12 citations
Journal of Materials Research and Technology
Aluminum Alloy Microstructure Properties
15.59
article

The effects of deformation parameters on the second phases and softening behavior of Al–Zn–Mg–Cu alloys

Rensong Huang, Yonghua Duan, Peng Sun, Mengnie Victor Li, Yawei Peng, Shanju Zheng, Yelin Zhang, Liexing Zhou, Xiaohong Yuan
article en
12 citations

Abstract

This study investigates the effects of deformation parameters on the second phase and softening behavior of Al–Zn–Mg–Cu alloy. The results are as follows: Firstly, the area fraction of the intermetallic phase fluctuates between 0.704 ± 0.092% and 1.886 ± 0.231% with varying deformation parameters. Secondly, in the temperature range of 270 °C to 430 °C, the area fraction of the η[Mg(Zn, Al, Cu) 2 ] phase first increases and then decreases with rising deformation temperature, and gradually increases with decreasing strain rate. The highest area fraction is 12.613 ± 0.340% at 350 °C/0.001 s −1 , and the lowest is 0.366 ± 0.068% at 470 °C/0.001 s −1 . Additionally, the coarsening and dissolution of the η[Mg(Zn, Al, Cu) 2 ] phase accelerate the dynamic recovery softening of the alloy. The sample at 350 °C/0.001 s −1 shows a low-angle grain boundary (LAGBs) percentage of 97.83% and a minimum average dislocation density of 8.493 × 10 2 μm 2 . Furthermore, at 470 °C/0.001 s −1 , the Al 7 Cu 2 Fe phase has a weaker effect on stimulating nucleation and recrystallization, while the most significant promotion occurs at 430 °C/0.001 s −1 . In the range of 270 °C to 350 °C and 0.1 s −1 to 0.5 s −1 , the Al 7 Cu 2 Fe phase mainly stimulates the formation of sub-grains. These findings offer valuable insights for refining the grain size of alloys by regulating the content of the second phase during hot deformation.

Journal of Materials Research and TechnologyVol. 33
Kunming University of Science and Technology (CN), Nanjing Tech University (CN), Kunming Institute of Precious Metals (CN)
Climate action
Openalex Percentile: Top 1%
Aluminum Alloy Microstructure Properties
15.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.